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TIME VALUE OF MONEY

SUMS and WORTHS

PRESENT (P) FUTURE (F) EQUAL-PAYMENT (A)

PRESENT SUM'S FUTURE WORTH P-->F              
FUTURE SUM'S PRESENT WORTH F-->P              
EQUAL-PAYMENT SERIES SUM'S FUTURE WORTH A-->F
FUTURE SUM'S EQUAL-PAYMENT SERIES WORTH F-->A
EQUAL-PAYMENT SERIES SUM'S PRESENT WORTH A-->P
PRESENT SUM'S EQUAL-PAYMENT SERIES WORTH P-->A

BANKERS' JARGON

SINGLE-PAYMENT COMPOUND-AMOUNT FACTOR F/P,i,n      
SINGLE-PAYMENT PRESENT-WORTH FACTOR P/F,i,n        
EQUAL-PAYMENT SERIES COMPOUND-AMOUNT FACTOR F/A,i,n
EQUAL-PAYMENT SERIES SINKING-FUND FACTOR A/F,i,n   
EQUAL-PAYMENT SERIES PRESENT-WORTH FACTOR P/A,i,n  
EQUAL-PAYMENT SERIES CAPITAL-RECOVERY FACTOR A/P,i,n

 

TIME VALUE OF MONEY

A present SUM of money P or a yearly series of equal sums (payments) A can be considered to have an inflated value or WORTH Fi,n over time n. This inflation in value is often modeled with the use of interest rates i compounded on a yearly basis over n years. Let the variables of the model be:

P - a present sum of money
Fi,n - a future worth at i interest in n years
A - equal year end payments

then relative to time "now" a money flow diagram can be constructed in the following manner:

where P is a present sum invested at time now, A is a year end payment and Fi,n is the future worth of the investment and payment series.

Often it is easier to partition the problem into components such as the future worth of the P investment and the future worth of the equal-payment series A.
Take the P investment first. The money flow diagram is:

Based on compounding rules, the future worth Fi,n of the present sum P is:

Fi,0 = P                                           
Fi,1 = P+Pi = P(1+i)                               
Fi,2 = P(1+i)+P(1+i)i = P(1+i)(1+i)                
Fi,3 = P(1+i)(1+i) + P(1+i)(1+i)i = P(1+i)(1+i)(1+i)

or in an algebraic extension:

Fi,n = P(1+i)n

In the past, when calculators where not in everyday use, the above expression was reduced to a tabular form by dividing F by P and creating a table of factorsrelative to i and n or COMPOUND INTEREST FACTORS that represented the future worths of a present sum of one dollar. Symbolically the factors where designated as:

F/P,i,n - the future worth of a present dollar sum
(single payment compound-amount factor)

or:

F/P,i,n = (1+i)n

which in tabular form is:

COMPOUND INTEREST TABLES FOR F/P,i,n

n

i=.05

i=.10

i=.15

1

1.050

1.100

1.150

2

1.103

1.210

1.323

3

1.158

1.331

1.521

4

1.216

1.464

1.749

5

1.276

1.611

2.011

It is very easy to invert the relationship between time now and a future time so that a future SUM can be evaluated as a present WORTH given the compounding of money. The factor for the present worth of a promised sum of one dollar n years in the future is:

P/F,i,n - the present worth of future dollar sum
(single payment present-worth factor)

which is the invert of the F/P factor:

P/F,i,n = 1/(1+i)n

Now for the future worth of the equal payment series STARTING AT THE END OF THE CURRENT YEAR AND PROCEEDING THROUGH YEAR n. The money flow diagram for this component of the original model is:

Using the formulation for the F/P factor it is possible to calculated the future worth or each payment A as if it were a P investment held for lesser periods of time. Starting at the payment made at the time of F and proceeding back toward one year from time now, the future worth of the payment series is:

Fi,n = A + A(1+i) + A(1+i)2 ..... A(1+i)n-1

This series can be simplified by first multiplying the series by (1+i)

Fi,n(1+i) = A(1+i) + A(1+i)2 + A(1+i)3 .....A(i+i)n

and then subtracting the first equation form the second so that the remainder is:

iFi,n = -A + A(1+i)n

which reduces to:

Fi,n= A[(1+i)n-1]/i

This reduces to the future worth of a series of payments of one dollar sums:

F/A,i,n - the future worth of a equal payment series of one dollar sums
(equal-payment series compound-amount factor)

or:

F/A,i,n = [(1+i)n-1]/i

It is also possible to create a factor for the equal payment worth of a future sum of one dollar or what is often called a sinking fund (what sum in equal payments can I sink in an investment if I known I will receive a future sum?):

A/F,i,n - the equal payment series worth of a future dollar sum
(equal-payment series sinking-fund factor)

by inverting the F/A,i,n factor or:

A/F,i,n = i/[(1+i)n-1]

With this information it is possible to determine the present worth of the original money flow diagram by combining the partitioned values of

Fi,n = P(1+i)n + A[(1+i)n-1]/i = P[ F/P,i,n ] + A [ F/A,i,n ]
(Note: The future worth as a composite might not have a single value of n.)

In some cases it is convenient to know the present WORTH of a series of equal payments.

Using the algebraic characteristics of the factors:

P/A,i,n = P/F,i,n x F/A,i,n = 1/(1+i)n x [(1+i)n-1]/i = [(1+i)n-1]/[i(1+i)n]

or:

P/A,i,n - present worth of a equal-payment series of one dollar sums
(equal-payment series present-worth factor)

is equal:

P/A,i,n = [(1+i)n-1]/[i(1+i)n]

Another very interesting factor is derived from the inverse of the present worth of a series of equal payments. This factor is the equal payments required to equal a present sum of one dollar or the rate at which capital must be recovered over n years to be equal to a present sum:

A/P,i,n - equal payment series worth of a present dollar sum
(equal-payment series capital-recovery factor)

or:

A/P,i,n = [i(1+i)n]/[(1+i)n-1]

Table of Factors

  Compound-amount Present-worth
Single-payment
Equal-payment
Equal-payment series
  Sinking-fund Capital-recovery

 

QUESTIONS 7

  1. If you invest $1000 dollars at your local bank in a C.D. at 5% compound interest, what is the value of the C.D. at the end of 10 years?
  1. Your friend promises to pay you $50,000 dollars in 5 years, what is the present worth of this promise assuming he will pay as promised and the current interest rates are 6%. What if the interest rates rise to 10%.
  1. You put $2000 a year in a investment program for the next 20 years starting at the END of the first year through the 20th year. The long term program you are investing in pays 7% interest. What is the expected future worth of this investment at the end of twenty years?
  1. You will inherit a fortune of $100,000 in 10 years. Rather than wait ten years, you have decided to borrow against you inheritance in equal payments at the END of each of the next ten years. If the set interest rate is 9%, what is the maximum amount you can borrow in the equal payment series?
  1. You have decided to start a small business in which the planned earnings are $20,000 a year at the end of each of the next five years. You have other opportunities that will earn you 20% interest and your are interested in what the WORTH of the business is relative to today.
  1. I have loaned $50,000 to my neighbor. What is the payments required at the end of the next 5 years to payoff the loan at 6% interest.

 

CASE STUDY 8 - Investment Study

You invest money in a bank by first depositing $100 and then $10 at the end of

the next 10 years. What is the future sum of money (or future worth) your bank account will have if the compound interest rate is 10 percent. The money flow diagram is:

The diagram can be partitioned into a future worth of a present sum of $100 and a future worth of an equal payment series of $10 and totaled in the format of the compound interest factors:

F.10 = $100[ F/P,.10,10 ] + $10 [ F/A,.10,10 ]

The factors can be either found in the interest tables or calculated:

F/P,.10,10 = (1+.10)10 = 2.59374

F/A,.10,10 = [(1+.10)10-1]/.10 = 15.9374

and substituted into the original formulas for a future worth of:

F.10 = $100(2.59374) + $10(15.9374) = $418.748

You are going to invest in a project that is estimated to return $1000 sum at the end of five years. The accepted interest rate for investments is .05. What is the maximum worth you are willing to invest in equal payments at the end of each of the next five years?

The money flow diagram for your investment scheme is:

Given the requirement to find a series worth for a future sum, the algebraic solution to the problem is:

A.05,5 = F [ A/F,.05,5 ] = $1000(.1810) = $181.00

This would indicate that you are willing to invest up to $181 in the project each year.

 

 

ANSWERS 7

  1. If you invest $1000 dollars at your local bank in a C.D. at 5% compound interest, what is the value of the C.D. at the end of 10 years?

The single payment compound-amount factor is F/P,.05,10 = 1.629

so that 1000(F/P,.05,10) = 1000(1.629)= $1629.00 = F,.05,10

  1. Your friend promises to pay you $50,000 dollars in 5 years, what is the worth of this promise assuming he will pay as promised and the current interest rates are 6%. What if the interest rates rise to 10%.

The single payment present-worth factors are P/F,.05,5 = 0.7835 and

P/F,.10,5 = .6209

The present worth at  5% is then 50,000(.7835) = $39,175

The present worth at 10% is then 50,000(.6209) = $31,045

  1. You put $2000 a year in a investment program for the next 20 years starting at the END of the first year through the 20th year. The long term program you are investing in pays 7% interest. What is the expected future worth of this investment at the end of twenty years?

The equal-payment series compound-amount factor is F/A,.07,20 = 40.996

The future worth of the series is 2000(40.996) = $81992

  1. You will inherit a fortune of $100,000 in 10 years. Rather than wait ten years, you have decided to borrow against you inheritance in equal payments at the END of each of the next ten years. If the set interest rate is 9%, what is the maximum amount you can borrow in the equal payment series?

The equal-payment series sinking fund factor is A/F,.09,10 = .0658

The equal payment series worth is then 100,000(.0658) = $6,580 which will be paid in ten installments at the END of the next ten years.

  1. You have decided to start a small business in which the planned earnings are $20,000 a year at the end of each of the next five years. You have other opportunities that will earn you 20% interest and your are interested in what the WORTH of the business is relative to today's earning potential.

The equal-payment series present-worth factor is P/A,.20,5 = 2.9906

The present worth of the adventure is 20,000(2.9906) = $59,812

  1. I have loaned $50,000 to my neighbor. What is the payments required at the end of the next 5 years to payoff the loan at 6% interest.

The equal-payment series capital-recovery factor is A/P,.06,5 = .2374

so that the year end payments are 50,000(.2374) = $11,870

 

EQUIVALENCE

A. VARIABLE INTEREST RATE    
B. VARIABLE NUMBER OF PERIODS

MEASURES OF WORTH

A. SAMPLE PROBLEM
B. PRESENT EQUIVALENT WORTH (PE)
C. FUTURE EQUIVALENT WORTH (FE)
D. ANNUAL EQUIVALENT WORTH (AE)

1. SINGLE LIFE-CYCLE  
2. MULTIPLE LIFE-CYCLES

E. RATE-OF-RETURN (i)           
F. PAYOUT (n)                   
G. PAYBACK (accounting n)       

 

 

EQUIVALENCE

Two monetary sums can be equated given that they have the same worth at a given point in time. This is true under the restrictions of the time value of money only if for a given point in time and at a given interest rate the two worths are the same. The factors that determine equivalence are:

  1. The amount of the sums.
  2. The time of occurrence of the sums.
  3. The interest rate.

In algebraic form, two sums P and F are equivalent if:

FEi = P ( F/P,i,n) = Fi,n for some given combination of i and n

(Note: The worth of a sum F at time n is FE.)

As an example, under what conditions are $50 and $100 dollars equivalent? First assume that n is equal to 10 years then:

100 = FEi,10 = 50(F/P,i,10)

F/P,i,10 = 2

From the tables if i = .07 then ( F/P,.07,10 ) = 1.967 and if i = .08 then ( F/P,.08.10 ) = 2.159 so that at equivalence:

i = .07 + .01[(2.000-1.967)/(2.159-1.967] = .07172 interest

as determined with linear interpolation from the tables and:

100 = 50( F/P,.07172,10)

Another way to approach the problem is to use the algebraic formulation for the single payment compound amount factor such that:

100 = 50(1+i)10

i = 2(1/10)-1 = .07177

Now assume that i=.05 then:

F/P,.05,n = 2.0

From the tables if n = 14 then ( F/P,.05,14 ) = 1.980 and if n = 15 then ( F/P,.05,15 ) = 2.079 so that at equivalence:

n = 14 +1[(2.000-1.980)/(2.079-1.980)] = 14.20202 years

as determined with linear interpolation from the tables and:

100 = 50 (F/P,.05,14.202)

Again, taking the algebraic formulation using the single payment compound amount factor:

100 = 50(1+.05)n

ln(2) = nln(1.05)

n = 14.2066 years

(Note: The algebraic solution to the problem is not always available when dealing with equal-payment series. In this cases the tabular solution is the only available method to find equivalence.)

 

 

QUESTIONS 8

  1. Given that you have invested $10,000 at an interest rate of 10%, what would be the number of years to reach equivalence if you were to invest $2000 per year instead.
  1. Prince Charming wants to borrow money from his inheritance trust at $20,000 worth per year for 10 years. If the trust will be equal to a sum of $500,000 at the end of 10 years, at what effective interest rate will the fund and the payment series be equivalent.
  1. You are given the option to receive your $1,000,000 lottery winnings as 20 year end payments of $50,000 or 240 month end payments of $4,166.67. If the current interest rates are 5% per year, what is the equivalent monthly interest rate? What is the present equivalent worth of each payment series? Are the payment series equivalent?

 

 

ANSWERS 8

  1. Given that you have invested $10,000 at an interest rate of 10%, what would be the number of years to reach equivalence if you were to invest $2000 per year instead.

The cash flow diagram for your investment is:

In algebraic form this reduces to

If we can solve for n or the number of years we have the answer.

5(.1)(1.1)n = (1.1)n -1

(1.1)n = 2

nln(1.1) = ln(2)

n = 7.2725

  1. Prince charming wants to borrow money from his inheritance trust at $20,000 worth per year for 10 years. If the trust will be equal to a sum of $500,000 at the end of 10 years, at what effective interest rate will the fund and the payment series be equivalent.

The cash flow diagram is:

or algebraically:

(1+i)10 - 25i - 1 = 0

This a bit hard to crack. Try the tables where we desire (A/F,i,10)=.04 but (A/F,.15,10)=.0493, (A/F,.20,10)=.0385 so that:

i = .15 + .05[(.0493-.0400)/(.0493-.0385)] = .19306 interest

  1. You are given the option to receive your $1,000,000 lottery winnings as 20 year end payments of $50,000 or 240 month end payments of $4,166.67. If the current interest rates are 5% per year, what is the equivalent monthly interest rate? What is the present worth of each payment series?

First start with the equivalent interest rate. Set the future worth of one dollar compounded yearly equal to the future worth of one dollar compounded monthly.

(1+.05) = (1+i)12, i = (1.05)(1/12)-1 = .004075 effective monthly interest

The yearly payment series present equivalent worths are then:

PE.05 = 50,000(P/A,.05,20) = 50,000(12.4622) = $623,110.00

The monthly payment series has a factor not in the book so algebraically:

The big difference arises because almost $50,000 is received in the monthly payments before the first yearly payments is received such that:

which is not equivalent.

Are the to series equivalent? No.

 

 

MEASURES OF WORTH

ACCOUNTANT                   ENGINEER      

CASH FLOW       ----->     PRESENT EQUIVALENT WORTH
PAY-BACK PERIOD ----->    PAYOUT PERIOD           

ALTERNATIVE EVALUATION

A. PRESENT EQUIVALENT WORTHS COMPARISONS (PE)
B. FUTURE EQUIVALENT WORTHS COMPARISONS (FE)
C. ANNUAL EQUIVALENT WORTHS COMPARISONS (AE)
D. RATE OF RETURN COMPARISONS                

1. INTERNAL RATES-OF-RETURN (i)
2. RATE-OF-RETURN EVALUATION (i)
   (break-even rate of return)

E. PAYOUT EVALUATION (break-even period n)  

BREAK-EVEN ANALYSIS

A. CUMULATIVE PROFIT EVALUATION (cost-profit-volume)
B. ANNUAL EQUIVALENT WORTH EVALUATION (N)           

 

 

MEASURES OF WORTH

The most common MEASURE OF WORTH is equivalent worth. This is usually in the form of PRESENT equivalent worth (PEi), ANNUAL equivalent worth (AEi) or FUTURE equivalent worth (FEi) for a given i. Other measures of worth is equivalent RATE-OF-RETURN (i) or PAYOUT time (n).

 

Present equivalent worth PEi

This measure assumes that a reasonable interest value i has been established for the time value of money. With i, it is possible to determine the worth of an alternatives at a given "time now". This present equivalent worth establishes the metric of worth of the alternative.

As an example, say that i=.05 and that the anticipated six year budget for a project is:

Equipment purchase                              $35
Annual operating expense per year for 6 years    10
Equipment salvage after 6 years                  10
Annual income per year for 6 years               15

The money flow diagram for the project is:

Under the accounting view of the project the cash flow for the project over the next six years is:

The accounting view does not measure the worth of the project. A common method is to find the worth of all sums at a given point in time or a "time now"
(Note: "Time now" does not have to be the first day of the project or the current moment. In some cases the start day of the production phase of a project is considered "time now".)

For our project, say that time now is when the equipment is purchased then:

PE.05 = -35 + 10( P/F,.05,6) - 10( P/A,.05.6) + 15( P/A,.05,6)

PE.05 = -35 + 10(.7462) - 10(5.0757) + 15(5.0757) = -$2.16   

or the project's present worth is a loss of -$2.16 at the date of equipment purchase.

Another time now might have been two years earlier during the preliminary design phase of the project. In this case the "present" worth is:

PE.05 = -35( P/F,.05,2 ) + 10( P/F,.05,8 ) - [10( P/A,.05,6 )]( P/F,.05,2)
+ [15( P/A,.05,6 )](P/F,.05,2)

PE.05 = -35(.9070) + 10(.6768) - 10(5.0757)(.9070) +15(5.0757)(.9070) = -$1.96

or

-$2.16( P/F.,05,2) = -$2.16(.9070) = -$1.96

Future equivalent worth FEi

The use of future equivalent worth is the same as determining the worth of an alternative at a future date much as the worth of a bank account at a future date. If for the example project the future worth is set at the end of year six assuming "time now" is time 0 then:

FE.05 = -35( F/P,.05,6) + 10 - 10( F/A,.05,6 ) + 15( F/A,.05,6 )

FE.05 = -35(1.340) +10 - 10(6.802) + 15(6.802) = -$2.89 at time 6

This can be returned to "time now" with:

PE.05 = -2.89( P/F,.05,6) = -2.89(.7462) = -$2.16

Equal-payment series or annual equivalent worth AEi

Many times the durations of alternatives are different. Some lasting for a few years and then repeating, will others lasting for many years. This makes determining a comparable present worth measure difficult. One solution to this problem is to consider the annual equivalent worth of a project from "time now" to the end of the project. Taking the original example with a six year life and a "time now" at the purchase of equipment then:

AE.05 = - 35( A/P,.05,6 ) + 10( A/F,.05,6) - 10 + 15    

AE.05 = -35(.1970) + 10(.1470) - 10 - 15 = -$.43 per year

This can be done in another way by taking the present equivalent worth of the project and converting it to the annual equivalent worth:

AE.05 = -$2.16( A/P,.05,6) = -2.16(.1970) = -$.43 per year

Now say that the six year alternative is made into a 12 year alternative by simply repeating the project. The money flow diagram might be simplified as:

which has an annual equivalent worth of:

AE.05 = [-2.16 - 2.16( P/F,.05,6 )]( A/P,.05,12)     

AE.05 = [ -2.16 -2.16(0.7462)](.1128) = -$.43 per year

or the same as the six year project. In other words, if an alternative is assumed to repeat in cycles forever in time, then the annual equivalent worth for one cycle is the annual equivalent worth forever.

Internal rate-of-return

Most alternatives are intended to make money. That is, there is a stream of expenses and a stream of incomes over time. It is hoped that the income stream is greater than the expense stream so that the alternative's present worth Pi is greater than zero. Now assume that the expense stream is borrowed on interest and that the added interest is just high enough to make the present equivalent worth zero. This interest rate is the internal rate-of-return that DISCOUNTS the alternative cash flows to zero worth.

As an example, take the present equivalent worth for the example project and set it to zero:

PEi = -35 + 10( P/F,i,6) + (15-10)( P/A,i,6) = 0

Now find the internal rate-of-return that balances the equation. This is done with trial and error. First try i=.05 or:

( P/F,.05,6 ) = .7462 ( P/A,.05,6 ) = 5.075 

PE.05 = -35 + 10(.7462) + 5(5.0757) = -$2.16

This places to high a premium on the "borrowed" money, Try i=.04 or:

( P/F,.04,6 )=1/(1.04)6=.7903, ( P/A,.04,6 )=[(1.04)6-1)]/(.04(1.04)6)=5.2421

PE.04 = -35 + 10(.7903) + 5(5.2421) = -$.89

Try i=.03 or:

( P/F,.03,6 )=1/(1.03)6=.8374, ( P/A,.03,6 )=[(1.03)6-1)]/(.03(1.03)6)=5.4171

PE.03 = -35 + 10(.8374) + 5(5.4171) = $.46

This brackets the zero value, so using linear interpolation, an internal rate-of-return is estimated as:

Payout evaluation

Many times it is important to know at what point in time n an alternative can be terminated leaving a present equivalent worth PEi,n equal zero. For the example project let us assume that the project is terminated at the time of purchase so that the purchase price is immediately compensated with the salvage value:

PE.05,0 = -35 + 10 = -$25

It is apparent that the one year payout time for the project will give the project a negative worth. The next year will generate an income stream that is the difference between the yearly expense and income. Now for a project of 1 year.

PE.05,1 = -35 + 10( P/F,.05,1 ) + 5( P/A,.05,1)

PE.05,1 = -35 + 10(.9524) + 5(.9524) = -$20.71

This process can be continued until a positive present equivalent worth is found. Now for a project of 2 - 7 years:

PE.05,2 = -35 + 10(.9070) + 5(1.8594) =-$16.63

PE.05,3 = -35 + 10(.8638) + 5(2.7233) =-$12.75

PE.05,4 = -35 + 10(.8227) + 5(3.5460) = -$9.04

PE.05,5 = -35 + 10(.7835) + 5(4.3295) = -$5.52

PE.05,6 = -$2.16

PE.05,7 = -35 + 10(.7107) + 5(5.7864) = $1.04

interpolation determines the final value:

The example project was terminated too early in the previous examples to have a positive equivalent WORTH even though the accounting cash flow was positive. The time the project should have run is for 6.675 years or more to have a positive worth.

 

Pay-back Evaluation

As a warning to those working with accountants, many times "payout" is calculated with an interest rate of 0%. This form of payout is referred to as the PAYBACK and does not reflect the time value of money. Using the above example:

 

QUESTIONS 9

  1. I drive my cars until they become museum pieces. The car I now drive was purchased at the end of 1974 for $8000 and I am planning on selling it at the end of 1994 for $25. The maintenance cost for the first ten years (year end) were $100 dollars per year and for the next ten years were $500 dollars per year. The revenue generated by my driving was $2000 per year and the time value of my money is 5%. Given these costs and times, what is the worth of the car relative to the end of 1974? What is the worth of the car relative to the end of 1994? What is the worth of the car as equal payments over the twenty years? What was the internal rate of return for my driving over the past twenty years? What was the payout time for the car?

 

 

ANSWER 9

  1. The cash flow diagram for the car is:

Using the diagram the present equivalent worth of the car in 1974 is:

PE.05
= -8000-100(P/A,.05,10)- 500(P/A,.05.10)(P/F,.05,10)+2000(P/A,.05,20)+25(P/A,.05,20)
= -8000-100(7.7217)-500(7.7217)(.6139)+2000(12.4622)+25(.3769)
= $13791.48

This converts to an equivalent worth in 1994 of:

FE.05 = 13,791.48(F/P,.05,20) = 13,791.48(2.653) = $36,588.80

or as an annual equivalent series:

AE.05,20 = 13,791.48(A/P,.05,20) = 13,791.48(.0803) = $1,107.46

The effective rate-of-return for the car is bracketed by 20% and 25% where:

-8000-100(4.1925)-500(4.1925)(.1615)+2000(4.8696)+25(.0261) =  $982.05
-8000-100(3.5705)-500(3.5705)(.1074)+2000(3.9539)+25(.0115) = -$640.69

and:

The payout period is bracketed by n=4 and n=5

-8000-100(3.5460)+2000(3.5460)+25(.8227)= -$1242.03
-8000-100(4.3295)+2000(4.3295)+25(.7835)=   $245.63

 

ALTERNATIVE EVALUATION

The comparison of mutually exclusive alternatives can be based on present equivalent worth, future equivalent worth, or an equal-payment series or annual equivalent worth all relative to a "time now". It should be noted that these methods entail setting a "time now" date which can be either the present time or a milestone date set within a given alternative's schedule.

Present Equivalent Worth Comparisons (determine PE)

A simple example of PRESENT EQUIVALENT WORTH comparison would be the comparison between a series of ten $10 payments starting after two years and a lump sum payment of $80. Assuming that the interest rate is 10%, then the equal-payments series as an equivalent present worth is:

PE.10 = 10( P/A,.10,10 )( P/F,.10,2 ) = 10(6.1446)(.8265) = $50.79

compared to the present worth of $80.

(Note: Remember that an equal-payment series is considered to be paid out at the end of the year. That would mean that a payment series starting after two years delay would actually have the first payment falling on the end of the third year.)

Future equivalent worth comparisons (determine FE)

The same example for a FUTURE EQUIVALENT WORTH comparison assuming a "time now" date of year 12 for the equal-payment series:

FE.10 = 10 ( F/A,.10,10) = 10(15.937) = $159.37

and for the lump sum:

FE.10 = 80 ( F/P,.10,12) = 80(3.138) = $251.04

again results in the lump sum as the best alternative.

Present Equivalent Worth of a life-cycle (determine PE at milestone)

Another method is to establish a fixed MILESTONE as the "time now" for each alternative. As a example, say you have two alternative projects with the following money flow diagram.

Now assume that the proposed production phases for the alternative projects are marked on the diagrams by the time 0, then the "time now" equivalent worth for the first alternative is:

PE.10=-75 - 75( F/P,.10,2) + 50( P/A,.10,6) =-75-75(1.210)+50(4.3553) = $127.015

and the second alternative is:

PE.10 = -80 - 80( F/P,.10,3 ) - 80( F/P,.10,5 ) + 60( P/A,.10,6 )
PE.10 = -80 - 80(1.331) - 80(1.611) + 60(4.3553) = $73.227

indicating that the first alternative is best.

Equal-payment series or annual equivalent worth comparisons (determine AE)

Comparisons can also be based on an ANNUAL EQUIVALENT WORTH comparison of alternatives that can be cycled. As an example, take two projects:

where one has a four year life and the other has a three year life. If the objective is to cycle the alternative's lives to provide a continuous series of lives then the annual equivalent worth of the first alternative is:

AE.10 =-150(A/P,.10,4)+50+50(A/F,.10,4)=-150(.3155)+50+50(.2155)=$13.45 per year

and the second alternative:

AE.10 =-150(A/P,.10.3)+50+70(A/F,.10,3)=-150(.4021)+50+70(.3021)=$10.83 per year

making the first alternative the better choice.

Rate-of-Return Evaluation (determine IROR)

A possible method for evaluating alternatives is to compare the internal rates- of-return of each alternative. If the internal rate-of-return for one alternative is higher than the internal rate-of-return for another, then the higher rated alternative MIGHT appear best. Unfortunately this does not take into consideration the EQUIVALENT WORTH of the two alternatives (Consider a high rate-of-return on a small worth but lower rate-of-return on a large worth.)

A better approach is to find the interest rate where both alternative have equal present equivalent worth. As the interest rate rises, one alternative will generally have a decreasing equivalent worth while the other will have an increasing worth. The interest rate that equates the equivalent worths is the BREAK-EVEN INTEREST RATE that is found by setting the present equivalent worths of both alternatives equal and solving for the variable i.

As an example, take two alternatives:

where for the first alternative the present equivalent worth is:

PEi = -100 + 40( P/A,i,4 )

and for the second alternative the present equivalent worth is:

PEi = -110 + 80( P/A,i,2 )

When the two present equivalent worths are equated then:

-100 + 40( P/A,i,4 ) = -110 + 80( P/A,i,2 )
PEA-B,i = -100 +40( P/A,i,4 ) - (-110 + 80( P/A,i,2 )

Using trial and error the interest rate i that satisfies the equations is found as:

i=.05   10 + 40(3.5460) - 80(1.859) =  3.088 = PEA-B
i=.06   10 + 40(3.4651) - 80(1.833) =  1.932       
i=.07   10 + 40(3.3872) - 80(1.808) =  0.848       
i=.08   10 + 40(3.3121) - 80(1.783) = -0.172       

This rate-of-return is the interest rate at which the two projects have equal equivalent worth. If the first alternative is observed, it can be seen that the delay in income makes it very sensitive to increasing interest rates. From this observations, if the current interest rates are below .07831 then the first alternative is the best. If the interest rates are above .07831, the second alternative is best.

(Note: Most authors consider rate-of-return evaluation as a BREAK-EVEN or STAND-OFF method where the two alternative break-even in present equivalent worth. Your book has grouped the methods in the PE,FE,AE,i,n approaches.)

Multiple Mutually Exclusive Alternatives using Rate-of-return

There is a method for combining the internal rate of return and the break-even rate-of-return. Say that a series of MUTUALLY EXCLUSIVE alternative have greater and greater capital investment so that they can be ranked by present worths of INVESTMENTS based on a minimum accepted rate-of-return. The question is whether to invest in the cheapest investment, or NOTHING, or increase the investment and choose a higher ranked investment, or not.

This can be accomplished by first ranking the alternatives in order of present equivalent worth of INVESTMENT for a minimum acceptable rate of return and then setting up a table with the rate-of-returns i that satisfy the present equivalent worths relations shown in each box. To determine which investment to make, simply determine a minimum acceptable rate of return (or effective rate) and follow the table starting at NOTHING and going down the column until the highest rate-of-return is found. If the highest rate-of-return in the column is lower than acceptable, stop at NOTHING. If the greatest rate-of-return in the first column is higher than the minimum acceptable rate, then go to the column corresponding to the alternative with the highest interest rate. Now go down that column until the highest rate-of-return is again found. If the highest rate of return is lower than acceptable, stop at the current alternative. If not, continue to the next alternative columns until the best alternative is found.

As an example, say that the rate-of-returns are as listed:

and the minimum acceptable rate is 5%. Follow the NOTHING column and choose alternative 2 at 15%. This is still greater than the minimum acceptable rate. Next go to the alternative 2 column and choose the added investment of alternative 4 at 2%. This added investment earns less than the minimum acceptable rate and is not attractive. Therefore stay with alternative 2.

Payout Evaluation (determine n)

Alternative projects may not have a fixed duration over which to determine a present equivalent worth. Since there is no n, the only approach is to determine a point in time n where the present equivalent worths of the two alternatives become equal. As an example, take two alternatives where the first alternative has a purchase price of $100, a salvage value of $50, and an annual income of $10. The interest rate is 10% but the project life is unknown.

The second alternative has a purchase price of $150, a salvage value of $50, and an annual income of $20.

For each alternative the present equivalent worth in terms of n is:

PE.10,n = -100 + 50( P/F,.10,n ) + 10( P/A,.10,n )
PE.10,n = -150 + 50( P/F,.10,n ) + 20( P/A,.10,n )

Equating the present equivalent worths results in:

-150+50( P/F,.10,n )+20( P/A,.10,n ) = -100+50( P/F,.10,n )+10( P/A,.10,n )

and:

10( P/A,.10,n ) = 50

which reduces to:

( P/A,.10,n ) = 5

Using interpolation:

( P/A,.10,7 ) = 4.8684
( P/A,.10,8 ) = 5.3349

The project duration for which both alternatives have the same present equivalent worth is 7.282 years. If the duration is less than 7.282 years then the first alternative will recover its initial investment faster and have the greater present worth.

(Note: Payout evaluation is considered a break-even method by most authors were the two alternatives break-even in present equivalent worth.)

 

CASE STUDY 9 - Career Counseling

You are to evaluate the potential of four career paths. To simplify the calculations, the careers will be limited to ten years.

  1. The first career is as an engineer. The engineer must first complete four years of college at $10,000 per year before starting six years of earnings at$35,000 per year with expenses and taxes of $12,000 per year.
  2. The second career is as a doctor. The doctor must first complete four years of undergraduate studies at $10,000 per year. Then he/she must complete four years of graduate school at $20,000 per year before starting two years of earnings at $200,000 per year with expenses and taxes of $80,000 per year.
  3. The third career is as a gambler. The gambler "invests" in the lottery $3000 dollars per year before winning the $100,000 jack pot in the ninth year. After winning the jack pot, $40,000 in taxes are due in the 10th year. To maintain the proper image, the gambler must spend $2000 dollars each year for expenses.
  4. The fourth career is as a bank robber. The bank robber robs a bank at time now for $100,000 which he/she deposits in a Swiss bank account. To satisfy the IRS the robber pays $40,0000 of income tax on his "take" at the end of the first year. The robber starts his ten year prison sentence immediately after robbing the bank during which time he/she makes license plates for $1000 per year and has $50 in yearly cigarette expenses.

Based on the career descriptions, determine the present equivalent worths, future equivalent worths at the ten year point, and annual equivalent worths of each ten year career assuming the interest rate is 6%.

What would appear to be the best career choice based on the measures of worth?

At what time n will the doctor and the engineer have equal present equivalent worths assuming that their pay continues at the current rate?

What is the rate of return for which the doctor and the engineer have equal present equivalent worths? What career is favored by high interest rates?

The first career is the engineer for which the cash flow diagram is:

The present equivalent worth for the career is:

PE.06 = -10,000(P/A,.06,4) + 23,000(P/A,.06,6)(P/F,.06,4)
        =-10.000(3.4651) + 23,000(4.9173)(.7921) = $54,993.85

This is equal to a future equivalent worth in ten years or:

FE.06 = 54,993.85(F/P,.06,10) = 54,993.85(1.791) = $98,386.53

or an annual equivalent worth of:

AE.06,10 = 54,993.85(A/P,.06,10) = 54,993.85(.1359) = $7465.51

The second career is the doctor for which the cash flow diagram is:

The present equivalent worth of the career is:

PE.06 = -10,000(P/A,.06,4)-20,000(P/A,.06.10)(P/F,.06,4)+120,000(P/A,.06.2)(P/F,.06,8)
      =-10,000(3.4651)-20,000(3.4651)(.7921)+120,000(1.8334)(.6274)= $48,487.91

This is equal to a future equivalent worth in ten years of:

FE.06 = 48,487.91(1.791) = $86,841.84

or an annual equivalent worth of:

AE.06,10 = 48,487.91(.1359) = $6589.50

The third career is the gambler for which the cash flow diagram is:

The present equivalent worth for the career is:

PE.06 = -5000(P/A,.06,9)-42,000(P/F,.06,10)+100,000(P/F,.06,9) =
-5,000(6.8017)-42,000(.5584)+100,000(.5919) = $1728.70

This is equal to a future equivalent worth in ten years of:

FE.06 = 1,728.70(1.791) = $3096.10

or an annual equivalent worth of:

AE.06,10 = 1,728.70(.1359) = $234.93

The fourth career is the bank robber for which the cash flow diagram is:

The present equivalent worth for the career is:

PE.06 = 100,000 - 40,000(P/F,.06,1) + 950(P/A,06,10) =
100,000 - 40,000(.8900) + 950(7.3601) = $71,392.10

This is equal to a future equivalent worth in ten years of:

FE.06 = 71,392.10(1.791) = $127,863.24

or an annual equivalent worth of:

AE.06,10 = 71,392.10(.1359) = $9,702.19

Based on these measures of worth, the career choices appear to be:

 

Present Equivalent

Future Equivalent

Annual Equivalent

BANK ROBBER

$71,392.10

$127,863.24

$9,702.19

ENGINEER

  54,933.85

  98,386.53

7,465.51

DOCTOR

  48,487.91

  86,841.84

6,589.50

GAMBLER

   1,728.70

   3,096.10

  234.93

The payout evaluation for the engineer and the doctor requires setting the present equivalent worths equal so that:

Engineer

-10,000(3.4651) + 23,000(P/A,.06,n-4)(.7921) =

Doctor

-10,000(3.4651)-20,000(3.4651)(.7921)+120,000(P/A,.06,n-8)(.6274)

which reduces to:

75.288(P/A,.06,n-8)-18.2183(P/A,.06,n-4)-54.8941 = 0

now try n = 10 so that:

75.288(1.8334)-18.2183(4.9173)-54.8941 = -6.44

then n = 11 so that:

75.288(2.6730)-18.2183(5.5824)-54.8941 = 44.64

This has bracketed the zero value and:

The rate-of-return again sets the present equivalent worths equal so that:

Engineer

-10,000(P/A,i,4) + 23,000(P/A,i,6)(P/F,i,4) =

Doctor

-10(P/A,i,4) - 20,000(P/A,i,4)(P/F,i,4) + 120,000(P/A,i,2)(P/F,i,8)

which reduces to:

[23(P/A,i,6)+20(P/A,i,4)](P/F,i,4) - 120(P/A,i,2)(P/F,i,8) = 0

Now try i=.06

[23(4.9173)+20(3.4651)](.7473) - 120(1.8334)(.6274) = 6.44

Now try i=.05

[23(5.0757)+20(3.5460)](.8227) - 120(1.8594)(1.477) = -175.17

This brackets the zero value so:

 

BREAK-EVEN ANALYSIS

Accountant considers BREAK-EVEN as the cumulative production N where cumulative cash flow is zero or the CUMULATIVE REVENUE equals CUMULATIVE COST. Cost engineers consider Break-even as the production or usage LEVEL N, such as units per year, where the annual present equivalent worth is equal to zero or the annual equivalent worth of two alternatives are equal.

Cumulative Profit Evaluation (determine production quantity N)

One method for finding cumulative production N is the COST-VOLUME-PROFIT analysis. The method calculates the cumulative cash flow of an operation and determines the number of production units N at which the cumulative cash flow reaches zero. As an example, assume that a product sells for $20 a unit. Then as N units are sold the cumulative earnings from sales is:

I = 20N

There is also a FIXED cost of the production which is NOT DEPENDENT ON N and a VARIABLE cost of the production which is dependent on N. For the example, say that plant investment is FC = $200,000 and the cost to produce a unit is VC = $10. The cumulative cost is then:

TC = FC + VC = 200,000 + 10N

Equating the two cash flows:

TC = I

200,000 + 10N = 20N

for a total production quantity of N = 20,000 units.

(Note: This accounting method fails to consider the time value of money.)

Annual Equivalent Worth Evaluation (determine production or usage level N)

Most times in a product-system the number of units N produced affects the annual equivalent worth. When production rises to the LEVEL where the annual equivalent worth of the system is zero, then a break-even is reached.

Another common application of this idea is the buy/lease decision in which the usage in hours or quantity N used per year determines a "break-even" of the annual equivalent worths of leasing and ownership. (The cost to lease is equally offset by the cost to purchase.)

As an example, say a machine can be either leased or purchased. The lease agreement charges $10 for every N hours of usage in a given year. The purchase price of the machine is $5000 with a salvage value of $500 in 10 years. The operating cost of the machine is $2 per N hours of usage in a given year. The annual interest rate is 5 percent. The question is how many hours per year must the machine operate before the lease and the buy break-even in terms of annual equivalent worths.

The first step is to determine how much it cost PER YEAR to operate the purchased machine no matter how many hours it is operated. (The term COST is from accounting. The better term is WORTH since the time value of money is used to determine the actual values.) This is often called FIXED COSTS and for the machine is:

ANNUAL FIXED COST = 5000 ( A/P,.05,10) - 500( A/F,.05,10)

The VARIABLE COSTS is the expense that varies with the number of hours operated PER YEAR or:

ANNUAL VARIABLE COST = 2N

(Note: The number of hours operated is on a yearly basis so the variable cost is also an annual worth.)

The total annual cost for the ownership of the machine is:

ANNUAL COST TO BUY = 5000(.1295) - 500(.0795) + 2N = 607.75 + 2N

The lease annual cost is simply 10N since N is based on yearly hourly usage. If the two costs are equated:

10N = 607.75 + 2N

N = 75.96 hours per year

This would indicate that for less than 75.96 hours per year the lease agreement is better than the buy.

QUESTIONS 10

  1. You have $150,000 in your bank account earning 2%. Your husband/wife has abetter ideas for the money and is looking for a new house. The three mutually exclusive choices on the market are the "Bungalow" for $50,000, the "Ranch" for $100,000, and the "Estate" for $150,000. Based on your budget forecast the Bungalow will cost $500 per year to maintain with a sales value of $60,000 in ten years; the Ranch will cost $1000 per year to maintain with a sales value in of $150,000 in ten years; and the Estate will cost $1500 per year to maintain with a sales value of $200,000 in ten years. Your husband/wife has pointed out that your money is only earning $32,848.50 in the bank over the next ten years and that you could make $35,000 on the purchase of the Estate over the next ten years. Use your knowledge of alternative evaluation to select a course of action.
  1. McCann Farms Inc. has a cow-calf operation in Appanoose County, Ia. In 1989 the Corporation invested $50,000 in renovating the properties and $20,000 in rebuilding the 80 head cow herd. We sell our calves at $500 a piece and we invest in the cow/calf about $200 a year. Under these conditions, when will our accountant think we have produced enough calves to have "broken-even"? If we expect a life for our facilities and heard of 20 years, what is the production level of calves per year where we will have an annual equivalent worth of zero at 10% interest? What is the annual equivalent worth of our operation if we produce 78 calves per year?
  1. I am considering the option of leasing a car rather than buying a car. The motor company is willing to lease me a car at a flat rate of $400 per month for five years. To purchase a new car will cost $18,000.00, 12 cents a mile for upkeep (gas and oil cost the same for both options), and $500 in salvage at the end of 10 years. If the effective interest rate is .5% per month, how many miles per month must I drive before the lease and buy are a standoff? What if I drive the purchased car for 5 years and salvage the vehicle for $5000? What if I drive the purchase car for 20 years and salvage the vehicle at $25? What does all this imply?
  1. Another way to look at the lease option is to determine the number of MONTHS that a car must be leased before a lease/buy decision is a breakeven proposition. Say that I drive 1100 miles per month. The value of the car depreciates at a rate of 1% per month so that the salvage value for any given month is known. If the other data in problem three applies, determine the number of months before breakeven and the option that is best when the time period is LESS than breakeven.

 

 

ANSWERS 10

  1. You have $150,000 in your bank account earning 2%. Your husband/wife has abetter ideas for the money and is looking for a new house. The three mutually exclusive choices on the market are the "Bungalow" for $50,000, the "Ranch" for $100,000, and the "Estate" for $150,000. Based on your budget forecast the Bungalow will cost $500 per year to maintain with a sales value of $60,000 in ten years; the Ranch will cost $1000 per year to maintain with a sales value in of $150,000 in ten years; and the Estate will cost $1500 per year to maintain with a sales value of $200,000 in ten years. Your husband/wife has pointed out that your money is only earning $32,848.50 in the bank over the next ten years and that you could make $35,000 on the purchase of the Estate over the next ten years. Use your knowledge of alternative evaluation to select a course of action.

Your husband/wife has probably "cashflowed" the houses and found that the Bungalow(B) returns $5,000, the Ranch(R) returns $40,000, and the Estate (E) returns $35,000 while the bank account earns only $32,848.50 over the next ten years.

Your too smart for this trick, so you consider the present worth of each house relative to the interest rate provided by the bank or 2%.

PEB =  -$50,000 -  $500(8.9824) +  $60,000(.82035) = -$5,270.14
PER = -$100,000 - $1000(8.9824) + $150,000(.82035) = $14,070.26
PEE = -$150,000 - $1500(8.9824) + $200,000(.82035) =    $596.61

The question now is whether to invest in the Ranch and leave the rest of the money in the bank at 2% or to invest in the Estate the whole $150,000. This can be resolved using the rate-of-return approach. First set up comparison table in order of present worth of invested capital at 2% where:

iB.02 =   50,000 +  500(8.9824 =  $54,491.20
iR.02 = 100,000 + 1000(8.9824) = $108,982.40
iE.02 = 150,000 + 1500(8.9824) = $163,473.60

and:

The values in the table are found by calculating the internal rates-of-return for the first column such that for the Bungalow:

PEB,i   = -50,000 - 500(P/A,i,10) + 60,000(P/F,i,10) =         0
PEB,.01 = -50,000 - 500(9.4711)   + 60,000(.9053)    = -$418.24
PEB,.00 = -50,000 - 500(10.000)   + 60,000(1.000)    = $5000.00

and the Ranch:

PER,i   = -100,000 - 1,000(P/A,i,10) + 150,000(P/F,i,10) =        0.00
PER,.04 = -100,000 - 1,000(8.1108)   + 150,000(.6756)    = -$6,775.93
PER,.03 = -100,000 - 1,000(8.5303)   + 150,000(.7441)    =   $3,083.48

and the Estate:

PEE,i   = -150,000 - 1,500(P/A,i,10) + 200,000(P/F,i,10) =         0.00
PEE,.03 = -150,000 - 1,500(8.5303)   + 200,000(.7441)    = -$13,977.03
PEE,.02 = -150,000 - 1.500(8.9824)   + 200,000(.8203)    =      $596.61

The step for the investment gap between Bungalow and Ranch is then:

PEB,i = PER,i
-50,000-500(P/A,i,10)+60,000(P/F,i,10)=-100,000-1,000(P/A,i,10)+150,000(P/F,i,10)

i=.05 50,000+500(7.7217)-90,000(.6139) = -$1390.15
i=.06 50,000+500(7.3601)-90,000(.5584) = $3424.05

between Bungalow and Estate:

PEB,i = PEE,i
-50,000-500(P/A,i,10)+60,000(P/F,i,10)=-150,000-1,500(P/A,i,10)+200,000(P/F,i,10)

i = .02 100,000 + 1000(8.9824) - 140,000(.8203) = -$5866.74
i = .03 100,000 + 1000(8.5303) - 140,000(.7440) =  $4357.40

and between Ranch and Estate:

PER,i = PEE,i
-100,000-1,000(P/A,i,10)+150,000(P/F,i,10)=-150,000-1,500(P/A,i,10)+200,000(P/F,i,10)

i=-.01 50,000+500(10.5727)-50,000(1.1057)= $0.0025

The network for the rates-of-return in order of increasing investment present worths is then:

resulting in the best path for the investment as Bank -> Ranch and only a negative return for the extra investment cost of the Estate. The best decision is to invest in the Ranch and leave the rest of the money in the bank at 2%.

(Note: You can also point the vectors in the direction of the highest present worth of the two alternatives on each vector when the evaluated interest rate is LESS than on the vector. This diagram will give the highest present equivalent worth satisfying the minimum acceptable interest rate.)

  1. McCann Farms Inc. has a cow-calf operation in Appanoose County, Ia. In 1989 the Corporation invested $50,000 in renovating the properties and $20,000 in rebuilding the 80 head cow herd. We sell our calves at $500 a piece and we invest in the cow/calf about $200 a year. Under these conditions, when will our accountant think we have produced enough calves to have "broken-even"? If we expect a life for our facilities and heard of 20 years, what is the production level of calves per year where we will have an annual equivalent worth of zero at 10% interest? What is the annual equivalent worth of our operation if we produce 78 calves per year?

The fixed costs for the operation are the $50,000 invested in renovating and the $20,000 in the herd. The variable costs are the $200 spent on each cow and calf. The revenue generated is the $500 per calf sold. In the form of the accounts break-even analysis:

FC + VC = Revenue
70,000 + 200N = 500N where N is total number sold
N = 234 calves

Taking into account the time value of money and restructuring our problem so that N is the level of calf production per year, the break-even point is now:

70,000(A/P,.10,20) + 200N = 500N
70,000(.1175) + 200N = 500N
N = 27.41 calves per year

If we produce 78 calves per year then the annual equivalent worth is:

500(78)-200(78)-70,000(.1175) = $15,175.00

  1. I am considering the option of leasing a car rather than buying a car. The motor company is willing to lease me a car at a flat rate of $400 per month for five years. To purchase a new car will cost $18,000.00, 12 cents a mile for upkeep (gas and oil are the same for both), and $500 in salvage at the end of 10 years. If the effective interest rate is .5% per month, how many miles per month must I drive before the lease and buy are a standoff? What if I drive the purchased car for 5 years and salvage the vehicle for $5000? What if I drive the purchase car for 20 years and salvage the vehicle at $25? What does all this imply?

The MONTHLY cost to operate the purchased car for 10 years or 120 months can be equated to the lease costs per month such that:

18,000(A/P,.005,120)-500(A/F,.005,120)+.12N = 400
18,000(.011102)-500(.006102)+.12N = 400
N = 1,693.45 miles per month

The MONTHLY cost to operate the purchased car for 5 years or 60 months can be equated to the rental costs per month such that:

18,000(.0193328)-5000(.0143328)+.12N = 400
N = 1030.61 miles per month

The MONTHLY cost to operate the purchased car for 20 years or 240 months can be equated to the rental costs per month such that:

18,000(.0071643)-25(.0021643)+.12N = 400
N = 2289.14 miles per month

This implies that the longer you own your car the more miles you must drive per month to make a lease car of interest. And even if you trade your car in early, you still have to drive more than 10,000 miles per year to make the lease attractive.

  1. Another way to look at the lease option is to determine the number of MONTHS that a car must be leased before a lease/buy decision is a breakeven proposition. Say that I drive 1100 miles per month. The value of the car depreciates at a rate of 1% per month so that the salvage value for any given month is known. If the other data in problem three applies, determine the number of months before breakeven and the option that is best when the time period is LESS than breakeven.

Solving this problem requires equating the present worths on day of purchase or lease of each alternative and finding n or number of months required to satisfy the relationship. For the buy option the present worth of the car for any n is negative the purchase price of the car, negative the maintenance costs through month n and plus the depreciated value of the car at month n or:

PEB = -18,000 - .12(1100)(P/A,.005,n) + 18,000(1-.01n)(P/F,.005,n)

The present worth of the lease is simply negative the lease payment through month n (assuming payments made at the end of the month)

PEL = 400(P/A,.005,n)

The two present worths can be equating and restructured to reflect the marginal gain of the buy option over the lease option.

PEB-L = 18,000[(1-.01n)(P/F,.005,n)-1] + 268(P/A,.005,n)

Now for trial and error to find a n that equates the two options or PB-PL=0.

PEB-L = 18,000[(1-.05).9753 - 1] + 4.9256(268) -$2.30

n=6 P/A = 5.8768 P/F = .9705

PEB-L = 18,000[(1-.06).9705 - 1] 5.8768(268) = $1.3716

The resulting solution is then:

It would appear from the calculations that for a period of time less than 5.62 months the PEB-L < 0 so that the lease has the advantage up to 5.62 months and the buy has the advantage after 5.62 months.

 

 

DECISION MAKING

DECISION MAKING PROCESS

A. COURSES OF ACTION (i)            
B. FUTURE SITUATION (j)             
C. PREDICT OUTCOMES (ij)            
D. MEASURE OUTCOME VALUES (Vij)    
E. PREDICT PROBABILITIES OF OUTCOMES
F. DETERMINING BEST COURSE OF ACTION

PAYOFF MATRIX

A. CERTAIN FUTURE       
B. DOMINANCE            
C. ASPIRATION LEVELS    
D. MOST PROBABLE OUTCOME
E. EXPECTED VALUE       
F. LAPLACE CRITERION    
G. MAXIMIN (CYA)        
H. MAXIMAX (GO FOR BROKE)
I HURWICZ CRITERION     

 

DECISION MAKING

Decision making is the selection of a ALTERNATIVE course of action from a number of OUTCOMES of FUTURE SITUATIONS defined in terms of technical performance measures (TPM). For most design and operational decisions, the objective is to optimization the outcome. The major component steps that go into decision making are:

  1. Determining alternative courses of action i.
  2. Determining future situations j.
  3. Predicting outcomes for a given action in a given situation.
  4. Measuring outcome values based on TPM.
  5. Predicting the likelihood of outcomes pj.
  6. Deciding on a course of action i.

These components are often organized as a DECISION EVALUATION MATRIX which appears as:

alternatives

p1
1

p2
2

p3
3

p4
4

Pj
j

probability
situation

1

V11

V12

V13

V14

V1j

2

V21

V22

V23

V24

V2j

3

V31

V32

V33

V34

V3j

.

.

.

.

.

.

i

Vi1

Vi2

Vi3

Vi4

Vij

where:

  1. A set of i mutually exclusive alternatives as the rows.
  2. A set of j mutually exclusive situations as columns.
  3. A set of equivalent worth or value measures Vij for outcomes.
  4. A set of probabilities pj for the situations.

The most common form of decision matrix is the PAYOFF MATRIX which is built on the assumption that:

  1. All possible future situations are known or > pj = 1.
  2. The technical performance measure is economic worth PE.
  3. The occurrence of one outcome precludes the occurrence of another.
  4. The occurrence of a specific situation is not influenced by the alternative selected (the pi value is the same for all alternatives).
  5. The future is uncertain or no pi = 1.

An example of a payoff matrix would be:

 

.10
1

.20
2

.25
3

.10
4

.35
5

= 1

1

$10

5

8

-3

9

2

20

15

10

-50

8

3

-5

4

8

-60

5

4

30

10

-10

15

20

Depending on ones view of the future, and willingness to take risks, the payoff matrix can be evaluated in a number of different ways.

Certain Future

If the future situation is known, then the payoff matrix can be reduced to a single column. (This is like having a certain tip at the race track.) If our example matrix is a certainty for the first situation, then:

 

1
1

1

$10

2

20

3

-5

4

30

and the best alternative results in the maximum worth max [10,20,-5,30] = 30 outcome or alternative 4 for $30.

Maximum and Minimum Dominance

In many cases a given alternative will dominate the matrix as either a consistent winner or consistent loser. This dominance can be found by finding the maximum and minimum payoff for each situation and determining if a single alternative is the source of the min or max value. For the example, say the table is changed to be:

 

.10
1

.20
2

.25
3

.10
4

.35
5

= 1

1

$10

5

8

-3

9

2

20

15

10

-50

8

3

-5

4

8

-60

5

4

30

10

(+10)

15

20

Max
Min

30
-5

15
4

10
8

15
-60

20
5

The maximum values are from the [4,2,2,4,4] alternatives respectively and there is no MAXIMUM DOMINANCE. For the minimum values the [3,3,3,3,3] alternativedominates so the alternative has MINIMUM DOMINANCE and does not need to be considered as a maximizing alternative.

Minimum and Maximum Aspiration Level

Most people cannot afford to be exposed to a loss that is too greater or they might want possible rewards above a certain level. These ASPIRATION LEVELS can be used to screen alternatives. For example:

 

.10
1

.20
2

.25
3

.10
4

.35
5

= 1
Max

Min

1

$10

5

8

-3

9

10

-3

2

20

15

10

-50

8

20

-50

3

-5

4

8

-60

5

8

-60

4

30

10

-10

15

20

30

-10

if the maximum possible loss that would be acceptable is no less than -$20 then alternatives 1 and 4 are acceptable. If the desired gain of $20 or more is desired then 2 and 4 are acceptable. The only alternative that would be feasible under the given aspiration levels is alternative 4 at the intersection of the two sets [1,4] and [2,4] = [4].

Most Probable Situation or Risk

Often it is impossible to determine the statistics of all future situation although the "most probable situation" is easy to determine. In the example problem:

 

.35
5

1

9

2

8

3

5

4

20

Max

20

situation number five is the most probable because it has the highest probability of happening. Given the decision that situation five will most probably happen, it can be treated as a certain future leading to a decision to follow alternative 4 for a profit of $20.

Maximum Expected Value or Risk

Business decisions are often a series of risks in which similar situations are faced again and again. Given this environment, it is often best to balance the losses with the winnings by making decisions on expected outcomes. For the example payoff matrix:

 

.10
1

.20
2

.25
3

.10
4

.35
5

= 1
                    expected

1

$10

5

8

-3

9

1 + 1 + 2 -.3 + 3.15 = 6.85

2

20

15

10

-50

8

2 + 3 + 2.5 -5 + 2.8 = 5.30

3

-5

4

8

-60

5

-.5+.8 + 2 - 6 + 1.75 =-1.95

4

30

10

-10

15

20

3 +.3 -2.5 + 1.5 + 7 = 9.30

           

Max 9.30

the expected payoff for each alternative is the total of the probabilities multiplied times the payoffs for each situation. The maximum expected value is 9.30 for the fourth alternative.

This approach is often used in engineering economy to assign present worths to a set of alternatives when future interest rates are at risk. A good example would be the evaluation of two alternative investments where the money flow diagrams are:

ie565_2_42.gif (1453 bytes)

ie565_2_43.gif (477 bytes)

and the future interest rates are split 50/50 between 5% and 8%. The present equivalent worths for the two alternatives when the interest rate is 5% are:

PE.05 = -80 + 20( F/A,.05,5 ) = -80 + 20(4.3295) = 6.59

PE.05 = -80 + 150( P/F,.05,5 ) = -80 + 150(.7835) = 37.53

The present equivalent worths for the two alternatives when the interest rate is 8% are:

PE.08 = -80 + 20( F/A,.05,5 ) = -80 + 20(3.9927) = -.15

PE.08 = -80 + 150( P/F,.05,5 ) = -80 + 150 (.6806) = 22.09

The payoff matrix is then:

 

.5
1

.5
2

expected

1

6.59

-.15

3.22

2

37.53

22.09

29.81

     

Max 29.11

for an expected present equivalent payoff of $29.11 if alternative two is taken.

Laplace Criterion or Uncertainty

When information about the probability of the situations is missing or uncertain, then it is often useful to ASSUME that every situation is equally likely. In this approach, each situation is given EQUAL probability. For the example, the probability of each of the five situations is assumed to be 1.00/5 = .20 so that:

 

.20
1

.20
2

.20
3

.20
4

.20
5

expected

1

$10

5

8

-3

9

2 + 1 + 1.6 -.6 + 1.8 = 5.80

2

20

15

10

-50

8

4 + 3 + 2 -10 + 1.6 = 0.60

3

-5

4

8

-60

5

-1 + .8 + 1.6 -12 + 1 =-9.60

4

30

10

-10

15

20

6 + 2 -2 + 3 + 4 =13.00

           

Max 13.00

The maximum expected value is 13.00 for the fourth alternative.

Maximin Criteria (Cover Your Ass)

Decision making can be viewed as a game played against an opponent who chooses the worst situation for the decision maker. If the opponent is very smart (or Murphy's law) one strategy is to play the alternative that will result in the best result given that the opponent selects your worst situation. This is accomplished by selecting the alternative that gives the maximum of the minimum outcomes. For the example payoff table this is:

 

 

.20
1

.20
2

.20
3

.20
4

.20
5


Min

1

$10

5

  8

-3

9

-3

2

20

15

10

-50

8

-50

3

-5

4

  8

-60

5

-60

4

30

10

-10

15

20

-10

         

Max

-3

for an outcome of -3 when alternative one is selected.

Maximax (Go for broke)

Some people are forever optimistic with the assumption that opponents will select the best situation for any alternative selected. For the example payoff table this is:

 

1

2

3

4

5

Max

1

$10

5

  8

-3

9

10

2

20

15

10

-50

8

20

3

-5

4

  8

-60

5

8

4

30

10

-10

15

20

30

         

Max

30

for an optimistic outcome of 30 when alternative four is selected.

Hurwicz Criterion

Hurwicz's method is a tool for balancing the optimism of Maximax and the pessimism of Maximin. The method determines a value for each alternative that is a linear combination of the best payoff and the worst payoff. Let 1<a<0 be an index of optimism so that for a given value of "a" the value for an alternative i is:

alternative value i = a[maxj Vij] + (1-a)[minj Vij]

and the maximum of all alternatives is:

Outcome = Maxi [alternative values i]

As an example say that one is "a"=.8 optimistic, then:

 

1

2

3

4

5

 

1

$10

5

  8

-3

9

.8(10)+.2( -3) = 7.4

2

20

15

10

-50

8

.8(20)+.2(-50) = 6.0

3

-5

4

  8

-60

5

.8( 8)+.2(-60) =-5.6

4

30

10

10

15

20

.8(30)+.2(-10) =22.0

         

Max

Max 22.0

for the "a"=.8 optimistic outcome of 22.0 when alternative four is selected.

Summary

The decision making tools above are not intended to control the decision maker. The decision maker must determine the driving force for the decision making process (certainty, bounded aspirations, risk, uncertainty, conservative, risk taker, odds maker) and follow the method that provides for compatible analysis.

 

QUESTIONS 11

  1. What are the basic steps in decision making?
  1. What are the basic components of a payoff matrix?
  1. What assumptions are implied in the matrix structure?
  1. What different assumptions of decision making are reflected in the expected value method, the Laplace method, the Maximin method and the Maximax method?
  1. Given the following payoff matrix for which your are trying to maximize the payoff:

     

    1

    2

    3

    4

    5

    1

    40

    20

    -10

    -8

      0

    2

    10

    30

    10

      6

    -5

    3

    10

    20

    -15

    -8

    -10

    4

    10

    10

    -20

    -10

    -5

Reduce the matrix to a simpler matrix form using dominance. What kind of dominance is demonstrated by the payoff matrix?

  1. What is the expected future worth of an investment of $500.00 for 10 years when the probability of a 3% interest rate is 50%, a 5% interest rate is 30%, and 9% interest rate is 20%?
  1. When I drive to Newton I must follow a route that either crosses a railroad track or an overpass. The advantage of the railroad crossing route is that it takes only 25 miles as compared to the 30 miles of the overpass route. Unfortunately, when a train blocks my path (the trains take forever to pass) I must detour another 6 miles to reach an overpass resulting in 31 mile route.
  2. The odds of a train arriving at the crossing at the same time I do is only 10%, so it is tempting to try my luck. Given this information, set up a payoff matrix and determine the route that has the lowest expected distance.

  3. Farmers must buy their seed in the winter to be ready for the spring planting. Seeds have different maturity dates and yields depending on the length of the growing season. A payoff table in bushels be acre for this effect might be:

     

    Late fall

    Early Fall

    Short Maturity

    110 bushels

    100 bushels

    Long Maturity

    130 bushels

    90 bushels

Most farmers are conservative. Under this assumption what kind of seed will they buy? If you like to take risks, what kind of seed would your buy? If you are 10% optimistic, what seed would you buy and what yield would you expect?

 

ANSWERS 11

  1. What are the basic steps in decision making?

    1. Determining alternative courses of action.
    2. Determining future situations.
    3. Predicting outcomes for a given action in a given situation.
    4. Measuring outcome values.
    5. Predicting probabilities outcomes.
    6. Deciding on a course of action.

  2. What are the basic components of a payoff matrix?

1. A set of i mutually exclusive alternatives as the rows.
2. A set of j mutually exclusive situations as columns.
3. A set of equivalent worth or value measures Vij for outcomes.
4. A set of probabilities pj for the situations.

  1. What assumptions are implied in the matrix structure?
  1. All possible future situations are known or > pi = 1.
  2. The equivalent evaluation measures are in economic worth.
  3. The occurrence of one outcome precludes the occurrence of another.
  4. The occurrence of a specific situation is not influenced by the alternative selected (the pi value is the same for all alternatives).
  5. The future is uncertain or no pi = 1.
  1. What different assumptions of decision making are reflected in the expected value method, the Laplace method, the Maximin method and the Maximax method?
  1. The expected value method assumes an average payoff from uncertain outcomes in which the chosen alternative is tried multiple times.
  2. The Laplace method assumes an average payoff from purely random outcomes in which the chosen alternative is tried multiple times.
  3. The Maximin method assumes a perfect opponent who can select the best outcome from the opponents point of view.
  4. The Maximax method assumes a losing opponents who has selected the losing outcome.
  1. Given the following payoff matrix for which your are trying to maximize the payoff:
     

    1

    2

    3

    4

    5

    1

    40

    20

    -10

    -8

      0

    2

    10

    30

    10

      6

    -5

    3

    10

    20

    -15

    -8

    -10

    4

    10

    10

    -20

    -10

    -5

Reduce the matrix to a simpler matrix form using dominance. What kind of dominance is demonstrated by the payoff matrix?

The last decision is redundant since all other alternatives have higher values for every alternative. As a result, for maximum payoff, the matrix can be reduced to:

 

1

2

3

4

5

1

40

20

-10

-8

  0

2

10

30

10

6

-5

3

10

20

-15

-8

-10

  1. What is the expected future equivalent worth of an investment of $500.00 for 10 years when the probability of a 3% interest rate is 50%, a 5% interest rate is 30%, and 9% interest rate is 20%?

E[FE10] = .50(500)(F/P,.03,10) + .30(500)(F/P,.05,10) + .20(500)F/P,.09,10) =
.50(500)(1.34392) + .30(500)(1.62889) + .20(500)(2.36736) =
E[FE10] = $817.05

  1. When I drive to Newton I must follow a route that either crosses a railroad track or an overpass. The advantage of the railroad crossing route is that it takes only 25 miles as compared to the 30 miles of the overpass route. Unfortunately, when a train blocks my path (the trains take forever to pass) I must detour another 6 miles to reach an overpass resulting in 31 mile route.

The odds of a train arriving at the crossing at the same time I do is only 10%, so it is tempting to try my luck. Given this information, set up a payoff matrix and determine the route that has the lowest expected distance.

The payoff matrix for the trip is:

 

train
.10

no train
.90


Expected

crossing

31

25

3.1 + 22.5 = 25.6

overpass

30

30

3.0 + 27.0 = 30.0

     

max 25.6 miles

for which the minimum expected travel distance is 25.6 miles while using the railroad crossing route.

  1. Farmers must buy their seed in the winter to be ready for the spring planting. Seeds have different maturity dates and yields depending on the length of the growing season. A payoff table in bushels be acre for this effect might be:
     

    Late fall

    Early Fall

    Short Maturity

    110 bushels

    100 bushels

    Long Maturity

    130 bushels

    90 bushels

Most farmers are conservative. Under this assumption what kind of seed will they buy? If you like to take risks, what kind of seed would your buy? If you are 10% optimistic, what seed would you buy and what yield would you expect?

Under the conservative Maximin method as illustrated below:

 

Late fall

Early Fall

 

Short Maturity

110 bushels

100 bushels

100

Long Maturity

130 bushels

90 bushels

90

     

Max 100

The farmer will select the short maturity variety for a yield of 100 bushels per acre. The risk taker will use the Maximax method as illustrated:

 

Late fall

Early Fall

 

Short Maturity

110 bushels

100 bushels

110

Long Maturity

130 bushels

90 bushels

130

     

Max 130

and select the long maturity variety for 130 bushels per acre. If the farmer is 10% optimistic about the growing season then the Hurwicz method is used:

 

Late fall

Early Fall

 

Short Maturity

110 bushels

100 bushels

11 + 90 = 101

Long Maturity

130 bushels

90 bushels

13 + 81 = 94

     

Max 101

for a short maturity variety with an expected yield of 101 bushels per acre.

 

 

CASE STUDY 10 - Day at the track

You have finally decided to make your first $2 bet at the race track. The pari-mutuel betting odds are 1/1 for horse 1, 3/1 for horse 2, 7/1 for horse 3 and 7/1 for horse 4. Assuming that the odds reflect the true probability of the horse winning (no house), set up a payoff matrix for your $2 bet.

Race winner

.5
1

.25
2

.125
3

.125
4

Bet

1

$2

-$2

-$2

-$2

2

-2

  6

  -2

  -2

3

-2

  -2

14

  -2

4

-2

  -2

-2

14

odds

1/1

3/1

7/1

7/1

If you have a sure tip that horse 2 will win, determine the value of your certain bet.

A sure winner for betting on horse 2 will result in a $6 winnings.

Can your determine any dominance in the payoff table?

.5
1

.25
2

.125
3

.125
4

Bet

1

$2

-$2

-$2

-$2

2

-2

6

-2

-2

3

-2

-2

14

-2

4

-2

-2

-2

14

odds

1/1

3/1

7/1

7/1

max

2(1)

6(2)

14(3)

14(3)

min

-2(4)

-2(4)

-2(4)

-2(3)

No one bet will dominate the max or the min values in the payoff table so there is no dominance.

If your aspiration level is to lose no more than $2 but to win $14, what is the horse you would bet on?

Race winner

.5
1

.25
2

.125
3

.125
4

max

min

Bet

1

$2

-$2

-$2

-$2

2

-2

2

-2

6

-2

-2

6

-2

3

-2

-2

14

-2

14

-2

4

-2

-2

-2

14

14

-2

There are two bets that result in winnings and loses within your aspiration levels and those are horses 3 and 4.

Based on the most probable outcome, what are your winnings?

The most probable outcome is horse 1 at 50% returning $2 in winnings.

What is the bet that results in the greatest expected value assuming that the same race will be run at the same odds over and over again?

Race winner

.5
1

.25
2

.125
3

.125
4

Expected values

Bet

1

$2

-$2

-$2

-$2

1 - .5 - .25 - .25 = $0.00

2

-2

6

-2

-2

-1 + 1.5- .25 - .25 = 0.00

3

-2

-2

14

-2

- .5 +1.75 - .25 = 0.00

4

-2

-2

-2

14

-1 - .5 - .25 +1.75 = 0.00
           

max $0.00

The greatest expected value is achieved by betting on any horse.

It might be of interest to note that the expected value is the AVERAGE winnings per bet and not the winnings at any point in time. As an example, say that for seven bets you selected horse 4 and lost. The you now win on eight bet. At this point in time you have earned $14-$14=$0 or on average of $.00 for the eight bets.

Laplace does not trust the odds makers. Using his method, determine a betting strategy and the expected value.

Race winner

.5
1

.25
2

.125
3

.125
4

Expected values

Bet

1

$2

-$2

-$2

-$2

.5 -.5 - .5 - .5 = -$1.00

2

-2

  6

-2

-2

-.5 +1.5- .5 - .5 = 0.00

3

-2

-2

14

-2

-.5 -.5 +3.5 - .5 = 2.00

4

-2

-2

-2

14

-.5 -.5 - .5 +3.5 = 2.00
 

max $2.00

The greatest expected value is achieved by betting on horse 3 or 4.

To cover your a__ you have decided to use the Maximin criterion for placing your bets. What bet would you place and what is the expected value of the bet?

Race winner

.5
1

.25
2

.125
3

.125
4

min

Bet

1

$2

-$2

-$2

-$2

-2

2

-2

 

-2

-2

-2

3

-2

-2

14

-2

-2

4

-2

-2

-2

14

-2

 

max -$2

No matter which horse you bet on you have a possibility of losing. To be on the safe side don't bet.

Most gamblers are optimistic. With this view of life, use the Maximax to place your bet and estimate your winnings.

Race winner

.5
1

.25
2

.125
3

.125
4

min

Bet

1

$2

-$2

-$2

-$2

$2

2

-2

6

-2

-2

6

3

-2

-2

14

-2

14

4

-2

-2

-2

14

14

 

max $14

This approach goes for the long shots of horse 3 and 4 with a hopeful winning of $14.

Most people are ready to take some risk. Use the Hurwicz criterion to be 50% optimistic when you bet and determine the expected winnings.

Race winner

.5
1

.25
2

.125
3

.125
4

Expected values
.5max + .5min

Bet

1

$2

-$2

-$2

-$2

$1 - $1 = $0.00

2

-2

6

-2

-2

   3 - 1 = 2.00

3

-2

-2

14

-2

   7 - 1 = 6.00

4

-2

-2

-2

14

   7 - 1 = 6.00

           

max $6.00

The bets should be placed on horse 3 or 4 with an expected winnings of $6.00

DECISION TREES

The decision evaluation matrix is often too restrictive for the decision making process. Another, more flexible, form for modeling decision making is the decision tree. Take the decision matrix for the maximum expected value criteria:

probability
situation

.4
1

.6
2

expected

Alternative

1

6

3

4.2

2

2

-1

0.2

3

5

4

4.4

Max = 4.4  

For the above problem, the same information can be displayed in the form of a tree:

ie565_2_45.gif (1553 bytes)

where the alternative selection is considered DECISIONS and indicated by the D nodes and the situations are stochastic EVENTS and indicated by S nodes. For our example problem, originally in matrix form, we started with a decision to choose one of three alternatives. Each alternative led to the chance outcome of the two situations where each branch indicates a "replay" of the two situations for each decision. The size of the decision tree can be quite large given that every situation has to be modeled for every decision, but the tree form allows for greater flexibility in defining situations and alternative decisions.

To evaluate the tree, using the expected value method, trace the tree backwards from the outcomes to the starting decision. This backward approach to finding the best alternative is called BACKWARD INDUCTION. For our sample problem the expected value for each of the stochastic nodes is found using the probabilities times the outcomes. For outcomes V11 and V12, that would result in:

E[V1] = p1(V11) + p2(V12) = .4(6) + .6(4) = 4.2

This E[V1] is considered equivalent to the stochastic process at the node so that the tree can be reduced to:

ie565_2_46.gif (490 bytes)

The resulting tree is now a simple decision that is within the control of the decision maker. Assuming the decision maker is rational, then:

D=Max(E[V1],E[V2],E[V3])=4.4 with alternative 3

for the expected value of the tree.

Compounded Trees

Trees can be compounded, just as with "lotteries", by simply expanding the branches:

ie565_2_47.gif (1153 bytes)

The solution method for the best alternative is exactly the same where the backward induction starts at the last branches and works back toward the decision node by replacing stochastic nodes with expected values. For our compounded tree the last branches reduce to:

ie565_2_48.gif (1034 bytes)

which then reduce to:

ie565_2_49.gif (569 bytes)

for the final decision of:

D=Max(EV)=4.8 with alternative 1

 

[C]ritical [P]ath [M]ethod

PROJECTS                        

ACTIVITIES (little projects)    

PRECEDENCE                      

NETWORKS                        

A. PRECEDENCE DIAGRAM   
B. ARROW DIAGRAM        
C. DUMMIES               
D. NODE NUMBERS AND LOOPS

NODE TIMES                      

A. FORWARD PASS and EARLY START
B. BACKWARD PASS and LATE FINISH

ACTIVITY TIMES                   

A. ACTIVITY EARLY START TIME
B. ACTIVITY LATE START TIME 
C. ACTIVITY EARLY FINISH TIME
D. ACTIVITY LATE FINISH TIME

FLOAT or SLACK                   

A. TOTAL FLOAT                 
B. FREE FLOAT                 
C. SAFETY FLOAT (European)    
D. INDEPENDENT FLOAT (European)
E. NEGATIVE FLOAT              

CRITICAL PATH                    

ACTIVITY LISTING                 

GANTT CHARTS                     

 

PROJECT SCHEDULING WITH THE CRITICAL PATH METHOD (CPM)

Schedules

Almost everyone schedules in their daily lives. The most common approach is LEVEL OF EFFORT. In this approach, we put in a "fair days" effort and hope that the work gets done. In most cases this approach works; but when it doesn't, we resort to more drastic measures such as PRIORITIZED LISTS. In these lists we list the work to be done as ACTIVITIES and start our effort on the most critical activities and continue down the list until eventually the list is either revised or completed. Unfortunately we soon discover that the prioritized list cannot be completed in priority order because of the interrelationship between the activities or the PRECEDENCE RELATIONSHIPS. At this point we have to take a more organized approach and view our efforts as an undertaking or PROJECT.

Project Schedules

A Project is defined as an undertaking that has a duration defined by a definite beginning or start time and a definite end or finish time. Every project can be broken into smaller projects or ACTIVITIES, which like the project, have durations defined by a start line and end line. (Activity durations are estimated before the project starts. Project duration is calculated from the duration of the activities.)

The start of any activity in a project is often dependent on the finish of other activities in the project. This sequencing of finish to start can be shown using a PRECEDENCE DIAGRAM where the activities are NODES and the connections between the nodes are arrows (arcs) that show only the necessary and IMMEDIATE PREDECESSORS.

ie565_2_50.gif (1454 bytes)

The precedence diagram is often presented simply as a PRECEDENCE LISTING which lists the IMMEDIATE predecessor for each activity or the NETWORK LOGIC.

Precedence Listing

Activity

Duration

Immediate Predecessor

A

5

None

B

8

A

C

3

B

D

2

B

E

1

D

F

9

D & C

G

5

E & F

In 1957 the team of Walker and Kelley, utilizing the newly developed computer, proposed a method for project scheduling based on the ACTIVITY ON NODE or arrow diagram. The arrow diagram was selected because it could be reduced to a matrix format that would adapt to the computer storage matrix.

To create the arrow diagram, Kelley started with the precedence diagram and added ASCENDING sequenced node numbers at the left and right side of each precedence diagram activity node. (If the diagram cannot be numbered with ascending node numbers, then the logic of the network fails and the resulting structure is called a LOOP.) This put the activities on the arcs that now replaced the original precedence node. The resulting diagram was then:

ie565_2_51.gif (1623 bytes)

which reduced to a simple arrow diagram.

ie565_2_52.gif (990 bytes)

Careful observation indicates in the Walker-Kelley diagram redundant arcs for which in the precedence diagram had zero duration. Care must be taken when removing these DUMMY arcs so as to retain the original "logic" of the network; and as a convention for the computer, unique node number at the start and finish of each activity arrow. For the example network, all but one of the dummy arcs can be removed.

ie565_2_53.gif (913 bytes)

In most cases professional schedulers work directly from the arrow diagram and determine the dummy arcs from the logic of the precedence listing. In many respects the use of the arrow diagram is an art; but since major contractors, the American legal system, and Government agencies require all scheduled work to be documented in the form of an arrow diagram, it is an art that is handy to know.

The arrow diagram provides the base on which the Walker-Kelley CRITICAL PATH METHOD (CPM) is derived. To learn the method, we will use the following example project to go through each step of the CPM analysis.

 

The Druid Priest

Say you are a Druid Priest waiting for the next solar eclipse. For the occasion you are in need of a megalithic monument. (This is obvious since the movement of the planets and the stars are controlled by monuments.) It is currently pre-recorded history, so the instant you start the monument will be time zero in recorded time. You have determined that the eclipse will occur in 36 days. The engineers have completed the plans for the monument and have estimated the number of days required to raise each stone in the project. The problem is determining the total time for the project and those activities that are critical to the completion of the project on time.

The design drawings for the monument are as follows:

Stone Megalithic Structure (no scale)

The example project can be divided into activities with estimated durations.

Activity Listing

Description

Duration

Stone A

9 days

Stone B

18

Stone C

10

Stone D

4

Stone E

8

 

49 days

The logic of the schedule is contained in the precedence listing:

Precedence Listing

Description

Immediate Predecessor Description

Stone A

none

Stone B

Stone A

Stone C

Stone A

Stone D

Stone C

Stone E

Stone B & Stone D

With a little creativity, the precedence listing reduces to an arrow diagram which expresses the same logic as the listing.

ie565_2_54.gif (791 bytes)

Node Times

Now define each activity based on its start node, say i, and finish node, say j so each activity is identified as i-j with a duration Dij. For each node in the network define a time Ti. If the logic of the network is consistent, then

Ti+Dij <= Tj for all i-j activities

and the earliest possible time Tj=ESj to start any activity leaving node j is:

ESj = max[(ESi+Dij), all arcs i-j entering node j]

Assume that the project starts at time 0 or ES0=0. Now starting at the first node of the network, the above logic is applied to the arrow diagram results in a CPM FORWARD PASS.

For the example project the early start times for each node are:

ie565_2_55.gif (1174 bytes)

and the earliest the 35 day project can finish is on the EVENING of the 35th day or the MORNING of the 36th day. This can be seen by observing that the project started on the morning of the 1st day at time 0.

                    1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3
0-1-2-3-4-5-6-7-8-9-0-1-2-3-4-5-6-7-8-9-0-1-2-3-4-5-6-7-8-9-0-1-2-3-4-5
^1 2 3 4 5 6 7 8 9^1 1 1 1 1 1 1 1 1 1^2 2 2 2 2 2 2 2^2 2 3 3 3 3 3 3^
                   0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5

The converse of the above also applies in determining the latest possible time Ti=LSi that an activity can can start leasing node i and still have the project finish at time ES4=35=LS4. If the logic of the network is consistent, then:

Tj-Dij => Ti for all i-j activities

and the latest possible time Ti=LSi to start any activity leaving node i is:

LSi = min[(LSj-Dij), all arcs i-j leaving node i]

Assume that the project finishes at time 35 or LS4=35. Now starting at the last node of the network, the above logic is applied to the arrow diagram results in a CPM BACKWARD PASS.

For the example project assuming LS4=35 the latest start times for each node are:

ie565_2_56.gif (1248 bytes)

Two things should be noticed. First, ES0=LS0 when ES4=LS4. Also the early start times and late start times at each node are not always the same. This difference is often called NODE FLOAT and indicates the range of time over which the actual node time can occur and still complete the project on schedule or:

ESi <= Ti <= LSi

Activity Times

Most people are interested in the activities rather than the nodes, so several activity related parameters have been developed. First, let double subscripts indicate activity parameters so that:

Earliest activity start time = ESij = ESi    
Latest activity finish time = LFij = LSj     
Latest activity start time = LSij = LSj-Dij  
Earliest activity finish time = EFij = ESi+Dij

with the resulting table of schedule times:

Description

Nodes

Dij

Sij

LFij

LSij

EFij

Stone A

0-1

9

0

9

0

9

Stone B

1-3

18

9

27

9

27

Stone C

1-2

10

9

23

13

19

Stone D

2-3

4

19

27

23

23

Stone E

3-4

8

27

35

27

35

(Remember that all finishes occur on the EVENING of the day listed. In some systems, one day is added to each finish time so that all days are in terms of mornings.)

Project control takes time parameters one step further with the development of the concept of ACTIVITY FLOAT or slack. This occurs when the difference between the late finish of the activity LFij minus the early start ESij is greater than the duration Dij of the activity. This opens a WINDOW in which an activity is free to float.

There are many definitions of float, but the two most often used in the United States are TOTAL FLOAT TFij and FREE FLOAT FFij. Total float assumes that all activities preceding an activity ij are finished early, and all activities succeeding the activity ij are started late. As a result total float, based on node times, is equal to:

TFij = LSj-(ESi+Dij)

or:

ie565_2_57.gif (335 bytes)

Free float on the other hand assumes that all activites in the network are started early or:

FFij = ESj-(ESi+Dij)

or:

ie565_2_58.gif (317 bytes)

Two other forms of float are used in Europe, SAFETY FLOAT SFij and INDEPENDENT FLOAT IFij. Safety float assumes that all activities preceding an activity ij are started late and all activities succeeding the activity ij are started late. As a result safety float, based on node times, is:

SFij = LSj-(LSi+Dij)

or:

ie565_2_59.gif (314 bytes)

Independent float assumes that all activities preceding an activity ij are started late and all activities succeeding the activity ij are started early. As a result independent float, based on node times, is:

IFij = ESj-(LSi+Dij)

or:

ie565_2_60.gif (341 bytes)

In a graphic summary, the basic CPM schedule parameters are:

ie565_2_61.gif (2755 bytes)

For the example project the float analysis is:

Activity Schedule Times

Description

Nodes

Dij

Sij

LFij

LSij

EFij

TFij

FFij

SFij

IFij

Stone A

0-1

9

0

9

0

9

0

0

0

0

Stone B

1-3

18

9

27

9

27

0

0

0

0

Stone C

1-2

10

9

23

13

19

4

0

4

0

Stone D

2-3

4

19

27

23

23

4

4

0

0

Stone E

3-4

8

27

35

27

35

0

0

0

0

Critical Path

Having the total float for each activity provides the information required to identify those activites in the network that must be started and finished on scheduled times for the project to be completed on time. These activities are called critical; and when designated in the arrow network, form paths which are called CRITICAL PATHS.

For the example project, the critical path is indicated with the double line.

ie565_2_62.gif (1273 bytes)

 

 

QUESTIONS 12

  1. Given the following precedence listings construct and label the CPM arrow diagrams.

Activity

Predecessor

A

none

B

none

C

A

D

B

E

D

F

none

G

C,E

 

Activity

Predecessor

A

none

B

A

C

B

D

B

E

B

F

C,D,E

G

F

 

Activity

Predecessor

A

none

B

none

C

B

D

none

E

A,C

F

E,D

G

F

 

Activity

Predecessor

A

none

B

none

C

none

D

none

E

A,B,C,D

F

E

G

F

 

Activity

Predecessor

A

none

B

A

C

A

D

A

E

A

F

B

G

B,C,D,E

  1. The following precedence list is for a project. Form this list determine the early start, late start, early finish, late finish, total float, free float, safety float, and independent float for each activity

    Activity

    Duration

    Predecessor

    A

    5 days

    none

    B

    8

    none

    C

    9

    none

    D

    2

    A

    E

    3

    A,B

    F

    1

    C

    G

    9

    D,E,F

  1. Using the project in question 2, determine the activities on the critical path.

  2. If the start of activity A is delayed in the project in question 2 by three days, can the project be completed on time?
  1. A foreman finds that his/he activity has five days total float. Knowing this he/she decides to delay the start of the work "since there is plenty of time". What mistake is the foreman making and how would you explain his/her error?
  1. American are always looking for "free float" assuming the project is on early schedule. The Europeans are always looking for "safety float" assuming that the project is on late schedule. How does this reflect on the fact the most CPM schedules were used by "owners" in America and by contractors in Europe?

 

 

ANSWERS 12

  1.  

ie565_2_63.gif (4349 bytes)

  1. The network is:

ie565_2_64.gif (1028 bytes)

with activity listing:

Id.

Dij

ESij

EFij

LSij

LFij

TFij

FFij

SFij

IFij

A

5

0

5

3

8

3

0

3

0

B

8

0

8

0

8

0

0

0

0

C

9

0

9

1

10

5

0

1

0

D

2

5

7

9

11

4

4

1

1

E

3

8

11

8

11

0

0

0

0

F

1

9

10

10

11

1

1

0

0

G

9

11

20

11

20

0

0

0

0

  1. The critical path lies along the activities with zero total float or

ie565_2_65.gif (1054 bytes)

  1. If activity A is delayed by three days, the total float on the activity and all subsequent activities is reduced to zero. The project can be completed.
  1. Total float is gained at the expense of the following activities. The foreman can make a lot of enemies that way.
  1. Owners assume the project will be on schedule and are looking for "free" time to utilize for other purposes. Contractors are concerned about correcting for delays on the job and are looking for "spare" time to make-up for the delays.

 

 

CASE STUDY 12 - Bed Races

Four ISU Departments have decided to raise money for charity by pushing a hospital bed from Ames to Des Moines in the Iowa State Bed Race. The distance is estimated at 40 miles and each Department (A-Mechanical, B-Electrical, C-Statistics, and D-Industrial) has decided to push the bed ten miles apiece. The logistics in this effort require that the teams be delivered and return to Ames by a van or vans from way points at 10, 20, 30, 40 miles as the bed race progresses. Setting up the activities as a precedence list results in:

Activity

Time in Minutes

Precedence

A team run

120

none

B team run

140

A team run

C team run

200

B team run

D team run

80

C team run

B team delivery

15

none

A team return

15

A team run

C team delivery

25

none

B team return

25

B team run

D team delivery

35

none

C team return

35

C team run

D team recovery*

45

none

D team return

45

D team run

*Note that a van must be sent empty from Ames to Des Moines at the end of the race in order to recover the last team from Des Moines.

The hope is to complete the race in a ten hour day with all the participants returning to Ames. The desire is to find a schedule for ONE van that will allow the delivery and return everyone without delaying the racers.

The CPM schedule for the precedence listing is as follows with the forward and backward pass completed.

ie565_2_66.gif (2800 bytes)

 

The activity listing is then:

Activity

Dij

ESij

Fij

LSij

LFij

TFij

FFij

SFij

IFij

A team run

120

0

120

0

120

0

0

0

0

B team run

140

120

260

120

260

0

0

0

0

C team run

200

260

460

260

460

0

0

0

0

D team run

80

460

540

460

540

0

0

0

0

B team delivery

15

0

15

105

120

105

0

105

0

A team return

15

120

135

570

585

450

450

450

450

C team delivery

25

0

25

235

260

235

235

235

235

B team return

25

260

285

560

585

300

300

300

300

D team delivery

35

0

35

425

460

425

425

425

425

C team return

35

460

495

550

585

90

90

90

90

D team recovery

45

0

45

495

540

495

495

495

495

D team return

45

540

585

540

585

0

0

0

0

for which the critical path follows the teams to the last return of the "athletes" resulting in a overall duration of 585 minutes or 9 hours 45 minutes.

The schedule was derived from the least restrictive arrangement of precedence. In this manner, if a schedule exists for a single van to supply all the support, the float in the schedule should allow for the more restrictive schedule.

First start with the delivery of team B and the return of team A. If "B team delivery" starts at late start 105 and finishes at late finish 120 then the "A team return" can start at 120 and early finish at 135. This now allows time for "C team delivery" to late start at 235 and to late finish at 260 so that "B team return" can start at 260 and finish at 285. The last trip gets a bit more complicated because "C team delivery" must start early at 460 finishing at 495 just in time for "D team recovery" that starts late at 495 and finishing at 540 for the return trip "D team return" starting at 540 and finishing without float at 585.

All of this can be seen as an un-scaled Gantt Chart such as:

ie565_2_67.gif (2581 bytes)

 

 

[P]rogram [E]valuation and [R]eview [T]echnique

POLARIS MISSILE AND CPM

BETA DISTRIBUTION     

A. EXPECTED ACTIVITY DURATION
B. DURATION VARIANCE        

NETWORK ANALYSIS      

A. EXPECTED NODE TIMES
B. NODE TIMES VARIANCE

NODE MILESTONES       

A. NORMAL DISTRIBUTION                          
B. CENTRAL LIMIT THEOREM                        
C. STANDARD NORMAL DISTRIBUTION or Z DISTRIBUTION
D. PROBABILITY OF MEETING MILESTONES             

 

PROJECT SCHEDULING WITH PERT

At the same time that CPM was being developed by Walker and Kelley at Du Pont, the consulting firm of Booze, Hamilton, and Allen was developing PERT for the US Navy. The major motivation for the method was the risk of estimating the duration of the Polaris missile program.

Expected Durations, Variances, and Node times

In the Polaris program, because of the experimental nature of the project, the durations dij of the activities were unknown and could only be approximated. To incorporate this risk into a CPM arrow network, all activity times are estimated with three estimated values, the pessimistic estimate (pess.), the most likely estimate (most likely), and the optimistic estimate (opt.). Assuming a Beta distribution of durations, the expected duration E[dij] of an activity is approximately:

 

and the variance is approximately:

Using the expected durations, a CPM analysis can be completed to identify the critical nodes in the network. The time variance of Tk for any critical node k is defined as:

V[Tk] = max [ S V[dij] along critical paths leading to k ]

or the variance of a critical node time Tk is equal to the sum of the variances of the durations along the critical path leading to that node. If there are more than one path leading to node k, then select the maximum variances from the multiple path. This provides a set of EXPECTED node times Tk = E[ESk] = E[LSk] for each CRITICAL node with their own variances V[Tk] including the final node in the network.

(Note: The variance of a non-critical node is substantially harder to calculate.)

Milestones

In the PERT analysis, the objective is to set MILESTONES or node times Mk that express the goals of the project. With the CPM forward pass, the expected critical node times E[Tk] for any critical node k is determined (including the final node of the project). The variance of these times Tk is also know from V[Tk]. These critical node times Tk are ASSUMED to follow a normal distribution based on the CENTRAL LIMIT THEOREM, so that expectations of meeting a milestone Mk is illustrated by the normal distribution.

ie565_2_68.gif (1107 bytes)

In other words, the node time Tk for node k are normally distributed about E[Tk] and the milestone time Mk has a probability of being accomplished that is indicated by the area under the p.d.f for node times less than or equal Mk.

The standardized normal distribution Z can be used to determine this area. In the Z tables are listed the areas under the p.d.f for any given number of standard deviation above or below the expected value E[Tk]. To determine the number of standard deviation z use:

z

Probability

z

Probability

-3.00

.0013

.0

.5000

-2.90

.0019

.1

.5398

-2.80

.0026

.2

.5793

-2.70

.0035

.3

.6179

-2.60

.0047

.4

.6554

-2.50

.0062

.5

.6915

-2.40

.0082

.6

.7257

-2.30

.0107

.7

.7580

-2.20

.0139

.8

.7881

-2.10

.0179

.9

.8159

-2.00

.0228

1.0

.8413

-1.90

.0287

1.1

.8643

-1.80

.0359

1.2

.8849

-1.70

.0446

1.3

.9032

-1.60

.0548

1.4

.9192

-1.50

.0668

1.5

.9332

-1.40

.0808

1.6

.9452

-1.30

.0968

1.7

.9554

-1.20

.1151

1.8

.9641

-1.10

.1357

1.9

.9713

-1.00

.1587

2.0

.9772

-.90

.1841

2.1

.9821

-.80

.2119

2.2

.9861

-.70

.2420

2.3

.9893

-.60

.2743

2.4

.9918

-.50

.3085

2.5

.9938

-.40

.3446

2.6

.9953

-.30

.3821

2.7

.9965

-.20

.4207

2.8

.9974

-.10

.4602

2.9

.9981

   

3.0

.9987

The most interesting milestone is the last node of the network or the completion time of the project. This node is always on the critical path and is the key time for the project.

As an example, take the megalith problem used for the CPM analysis. The activity times are not know for certain, but expected durations and their variances can be found using the Beta distribution. (Dummy activities have zero duration and zero variance)

PERT Activity Listing

Description

Duration

E[dij]

V[dij]

Opt.

Most Likely

Pess.

Stone A

8

9

10

[8+4(9)+10]/6=9

[10-8]2/36=4/36

Stone B

18

18

19

18.1667

1/36

Stone C

5

10

20

10.8333

225/36

Stone D

2

4

4

3.6667

4/36

Stone E

8

8

20

10.0000

144/36

The precedence listing for the example is:

Precedence Listing

Description

Immediate Predecessor

Stone A

none

Stone B

Stone A

Stone C

Stone A

Stone D

Stone C

Stone E

Stone B & Stone D

which results in the following arrow diagram with expected durations and variance.

ie565_2_69.gif (1211 bytes)

The CPM forward and Backward passes reveal the critical path and the project duration.

ie565_2_70.gif (1616 bytes)

Having identified the critical path, the variances are totaled for each node on the critical path.

ie565_2_71.gif (1326 bytes)

The resulting expected project completion time is then 37.1667 days with a variance of 149/36. If the completion time for the project, or the milestone time of M4=36, then:

Using the table of the Z distribution, the probability that the actual completion time T4 will be less than or equal 36 days is:

P[actual T4<=36] = P[Z<=-.5734] = .2843

It is also possible to calculated variances and expected values for early start for nodes not on the critical path by determining the path that determines the early start times. The variances of the durations along these paths then sum to the variance V[ESi] as with the critical nodes. The calculation of milestones is a bit more difficult since a node not on the critical path has a window of time between E[ESi] and E[LSi]. If the milestone time is based on the probability that all activities starting at the node can start as early as ESi, then the calculations are the same as for critical nodes.

 

CASE STUDY 13 - A Day in Japan

You have been assigned to teach in Japan. The Japanese have a different philosophy on teaching in that they make the class participate in a cooperative assignment to maintain and clean the classroom. From the Headmaster you have learned that the tasks required for the maintenance assignment are as listed below along with the estimated times for each task, the number of students assigned to each task, and the precedence relationship of each task.

Id.

Description

Estimated Time

Team Size

Predecessor

A

Move desks aside

5 minutes

12

none

B

Sweep floor

10

3

A

C

Pick up school supplies

5

3

A

D

Wash blackboard

2

3

A

E

Wash inner windows

10

3

A

F

Mop the floor

10

3

B,C

G

Store school supplies

5

3

C

H

Remove outer screens

5

3

E

I

Wax floor

20

3

D,F

J

Wash outer windows

10

3

H

K

Replace outer screens

5

3

J

L

Return desks

3

12

G,I,K

   

90 minutes

   

The Headmaster has decided that with twelve students in four teams of three you should target 90/4 = 22.5 minutes to complete the maintenance effort.

With your knowledge of CPM, determine if the headmaster has any grasp of reality as to how long the assignment will take?

The first step in analyzing the assignment or project is to construct the CPM diagram, label the activities, and complete a forward and backward pass.

ie565_2_72.gif (1812 bytes)

The result of this analysis shows that four teams of three can complete the project, although the time required is well over 22.5 minutes or 48 minutes.

The CPM diagram can be used to construct an activity listing such as:

Id.

Dij

ESij

LSij

EFij

LFij

TFij

FFij

SFij

IFij

 

A

5

0

0

5

5

0

0

0

0

*

B

10

5

10

15

15

0

0

0

0

*

C

5

5

10

10

15

5

0

5

0

 

D

2

5

23

7

25

18

18

18

18

 

E

10

5

15

15

25

10

0

10

0

 

F

10

15

15

25

25

0

0

0

0

*

G

5

10

40

15

45

30

30

25

25

 

H

5

15

25

20

30

10

0

0

-10

 

I

20

25

25

45

45

0

0

0

0

*

J

10

20

30

30

40

10

0

0

-10

 

K

5

30

40

35

45

10

10

0

0

 

L

3

45

45

48

48

0

0

0

0

*

From the listing the critical path is found to be A-move desks, B-sweep floor, F-mop floor, I-wax floor, L-return desks. This sequence, considering that the wax takes 20 minutes alone, cannot be reduced to 22.5 minutes without drastic efforts.

At this point you consider the possibility that errors in estimating and variability in performance might play a part in this analysis. From experience you know that a team might be sped up by one minute, but more than likely would take twice as long if given the change. As a result you re-estimate your times and come up with the following listing of expected times and variances.

Id.

Optimistic

Most Likely

Pessimistic

Expected

Variance

A

4 minutes

5 minutes

10 minutes

5.67

1.00

B

9

10

20

11.50

3.36

C

4

5

10

5.67

1.00

D

1

2

4

2.17

0.25

E

9

10

20

11.50

3.36

F

9

10

20

11.50

3.36

G

4

5

10

5.67

1.00

H

4

5

10

5.67

1.00

I

19

20

40

23.17

12.25

J

9

10

20

11.50

3.36

K

4

5

10

5.67

1.00

L

2

3

6

3.33

0.44