BUS 323 FINAL EXAMINATION                                               

 

 

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Assignment 1
Assignment 2
Assignment 3
Assignment 4

RESULTS

Section 01

Section 02

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FALL 2003-2004

1) (50 points) Bees Candy Company must decide whether or not to introduce a new lower-calorie candy assortment for Christmas. Management feels that if it introduces the candy, it will earn a profit of $150,000 if sales are 70,000 pounds and a profit of $50,000 if sales are 40,000 pounds. It will lose $100,000 if sales are only 10,000 pounds. If Bees does not introduce the lower-calorie candy assortment, it believes it will lose $20,000 due to lost sales.

 

a. Construct a payoff table for this problem.

                                                                       Sales

                                               70,000              40,000              10,000

            Introduce                      150                 50                   -100

            Do Not Intro.                -20                   -20                   -20

 

b. Should Bees introduce the candy if management is conservative?

 

A conservative strategy is the Maximin Criterion -- Do not introduce

 

c. Construct a regret table for this problem.

 

                                                                       Sales

                                   70,000              40,000              10,000

Introduce                           0                  0                     $80

Do Not Introduce           $170                 70                     0

 

d. If Bees management uses the minimax regret criterion, should the new candy be introduced?

 

Minimax Regret Criterion -- Introduce

 

Suppose Bees management believes that the following probabilities hold:

P(Sales = 70,000 pounds) = .2

P(Sales = 40,000 pounds) = .5

P(Sales = 10,000 pounds) = .3

e. Using the expected value criterion, determine whether the company should introduce the lower-calorie candy assortment.

 

                                                                       Sales

                                               70,000              40,000              10,000              EV

            Introduce                      150                 50                   -100                 25        ß---

            Do Not Intro.                -20                   -20                   -20                   -20

            PROBABILITY                 0.2                   0.5                   0.3

 

f. What is the most Bees management should pay for market research dealing with people’s attitudes toward the lower-calorie candy?

 

EV with PI = 150*0.2 + 50*0.5 + (-20)*0.3 = 49

EV of PI = EV with PI – EV = 49 – 25 = 24

 

Bees is considering hiring a market consulting firm to analyze people’s attitudes toward lower-calorie candy. The market research firm will report back to Bees management whether attitudes are favorable or unfavorable. Management believes that the following conditional probabilities hold:

P(favorable attitudeuSales = 70,000 pounds) = .90

P(favorable attitudeuSales = 40,000 pounds) = .60

P(favorable attitudeuSales = 10,000 pounds) = .20

g. If the survey is performed and results in a favorable attitude toward lower-calorie candy, would you recommend that the candy be produced?

Fav.

 

 

 

 

 

Unfav.

 

 

 

 

 

P(sj)

P(I|sj)

P(IÇsj)

P(sj|I)

 

 

P(sj)

P(I|sj)

P(IÇsj)

P(sj|I)

70

0.2

0.9

0.18

0.333

 

70

0.2

0.1

0.02

0.043

40

0.5

0.6

0.30

0.556

 

40

0.5

0.4

0.20

0.435

10

0.3

0.2

0.06

0.111

 

10

0.3

0.8

0.24

0.520

 

 

P(I)

0.54

 

 

 

 

P(I)

0.46

 

 

 

 

h. Determine the expected value of this sample information.

26800-25000=1800

 

 

   

2) (25 points)   George Washington High School is planning a reunion for the graduating class of 1975. The D’Onofrio twins, who are in charge of planning the entire event, have determined the following tasks.

 

Imm.

Time Estimates (Days)

Tasks

Pred.

Best

Probable

Worse

A: Determine addresses

20

25

50

B: Determine a budget

3

5

12

C: Choose a site

B

10

14

21

D: Hire a band

B

5

14

18

E: Design sweatshirts

10

10

14

F: Mail announcements

A,C

8

14

25

G: Hire a photographer

B

3

4

7

H: Determine excess funds

D,F,G

32

40

50

I: Buy door prizes

E,H

2

5

8

 

What is the probability that the D’Onofrio twins will have to commit more than three months (90 days) to this project?

 

Critical Path: A-F-H-I

Project Completion Time: 88.5 day

Project St.Dev.: 6.56

 

z= (90-88.5)/6.56 = 0.23

For 0.23, the value from table is 0.091

z

0,00

0,01

0,02

0,03

0,04

0,05

0,06

0,07

0,08

0,09

0,0

0,000

0,004

0,008

0,012

0,016

0,020

0,024

0,028

0,032

0,036

0,1

0,040

0,044

0,048

0,052

0,056

0,060

0,064

0,067

0,071

0,075

0,2

0,079

0,083

0,087

0,091

0,095

0,099

0,103

0,106

0,110

0,114

0,3

0,118

0,122

0,126

0,129

0,133

0,137

0,141

0,144

0,148

0,152

0,4

0,155

0,159

0,163

0,166

0,170

0,174

0,177

0,181

0,184

0,188

0,5

0,191

0,195

0,198

0,202

0,205

0,209

0,212

0,216

0,219

0,222

 

P(Finish within 90 days) = 0.5 + 0.091 = 0.591

Thus P(Finish later than 90 days) = 1 - 0.591 = 0.409 = 40.9%

 

  

 

3) (25 points) BP Farms is a 300 acre farm located near Lawrence, Kansas, owned and operated exclusively by Bill Pashley. For the upcoming growing season, Bill will grow wheat, corn, oats, and soybeans. The following table gives relevant data


 

concerning expected crop yields, labor required, expected preharvested expenses, and water required. Also included is the price per bushel Bill expects to receive when the crops are harvested.

Crop

Yield (bu./acre)

Labor (hour/acre)

Expenses ($/acre)

Water (acre-ft/acre)

Price ($/bu.)

Wheat

210

4

$70

2

$3.20

Corn

300

5

$75

6

$2.55

Oats

180

3

$30

1

$1.45

Soybeans

240

10

$60

4

$3.10

Bill wishes to produce at least 30.000 bushels of wheat and 30.000 bushels of corn but no more than 25.000 bushels of oats. He has $25.000 to invest in its crops, and he plans to work up tıo 12 hours per day during the 150-day season. He also does not wish to exceed the base water supply of 1200 acre-feet allocated to him by the Kansas Agriculture Authority.

 

 

a. Formulate the problem for BP farms as a linear program to maximize total expeceted return from the harvested crop.

 

            X1 = the number of acres of wheat planted

            X2 = the number of acres of corn planted

            X3 = the number of acres of oats planted

            X4 = the number of acres of soybeans planted

 

            Profit coefficients are 210($3.20) - $50 = $622, 300($2.55) - $75 = $690,

                        180($1.45) - $30 = $231, and 240($3.10) - $60 = $684 respectively.

 

            MAX      622X1 + 690X2 + 231X3 + 684X4

            S.T.          4X1 +     5X2 +     3X3 +   10X4          £   1,800           (Labor hours)

                          50X1 +   75X2 +   30X3 +   60X4           £ 25,000           (Expenses)

                            2X1 +     6X2 +       X3 +     4X4          £   1,200           (Water)

                        210X1                                                  ³ 30,000           (Min. Wheat)

                                     300X2                         ³ 30,000           (Min. Corn)

                                                     180X3                     £ 25,000           (Max Oats)

                              X1 +      X2 +       X3 +       X4          £      300           (Total acres)

                                               All X's ³ 0

 

 

b. Create a spreadsheet model and define Solver parameters on the Excel and Solver figures below

 

 

Wheat

Corn

Oats

Soybeans

 

 

 

Acres

142.8571

142.8571

0

14.28571

 

 

 

 

 

 

 

 

Total

 

 

Profit

622

690

231

684

197200

 

 

Labor

4

5

3

10

1428.571

<=

1800

Expenses

50

75

30

60

18714.29

<=

25000

Water

2

6

1

4

1200

<=

1200

Min Wheat

210

 

 

 

30000

>=

30000

Min Corn

 

300

 

 

42857.14

>=

30000

Max Oats

 

 

180

 

0

<=

25000

Acres

1

1

1

1

300

<=

300

 

 

 

 

c. Show the formulas in the cells, G6, G7, ...., G13.

 

G6: =SUMPRODUCT($C$4:$F$4;C6:F6)

Copy to G6:G13

 

 

d. Interpret the numbers shown bold on the sensitivity report.

 

690: Objective coefficient of oats

-444: For oats to have a positive value at the solution, objective coefficient of oats must be increased this amount.

28: Objective coefficient of soybeans can be decreased this amount wthout changing the solution.

371,429: Labor availability(1800) can be decreased this amount without being a binding constraint.

3: For every 1 additional unit of available water, objective value will increase this amount.

-0.2667: For every 1 additional unit of necessary wheat production, objective value will decrease this amount.

 

Adjustable Cells

 

 

 

 

 

 

 

 

Final

Reduced

Objective

Allowable

Allowable

 

Cell

Name

Value

Cost

Coefficient

Increase

Decrease

 

$C$4

Acres Wheat

142,857143

0

622

56

1E+30

 

$D$4

Acres Corn

142,857143

0

690

56

6

 

$E$4

Acres Oats

0

-444

231

444

1E+30

 

$F$4

Acres Soybeans

14,2857143

0

684

6

28

 

 

 

 

 

 

 

 

Constraints

 

 

 

 

 

 

 

 

Final

Shadow

Constraint

Allowable

Allowable

 

Cell

Name

Value

Price

R.H. Side

Increase

Decrease

 

$G$7

Labor Total

1428,57143

0

1800

1E+30

371,429

 

$G$8

Expenses Total

18714,2857

0

25000

1E+30

6285,71

 

$G$9

Water Total

1200

3

1200

28,5714

85,7143

 

$G$10

Min Wheat Total

30000

-0,26667

30000

1500

7090,91

 

$G$11

Min Corn Total

42857,1429

0

30000

12857,1

1E+30

 

$G$12

Max Oats Total

0

0

25000

1E+30

25000

 

$G$13

Acres Total

300

672

300

18,5714

4,7619