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To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision Making Decision Making Supplement A Supplement A

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

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Page 1: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Decision MakingDecision Making

Supplement ASupplement A

Page 2: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Break-Even AnalysisBreak-Even Analysis

Page 3: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Break-Even AnalysisBreak-Even Analysis

Patients (Patients (QQ))

Do

llars

(in

th

ou

san

ds)

Do

llars

(in

th

ou

san

ds)

400 –400 –

300 –300 –

200 –200 –

100 –100 –

0 –0 –|| || || ||

500500 10001000 15001500 20002000Example A.1Example A.1

Page 4: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Break-Even AnalysisBreak-Even Analysis

400 –400 –

300 –300 –

200 –200 –

100 –100 –

0 –0 –

Patients (Patients (QQ))

Do

llars

(in

th

ou

san

ds)

Do

llars

(in

th

ou

san

ds)

|| || || ||

500500 10001000 15001500 20002000Example A.1Example A.1

Quantity Total Annual Total Annual(patients) Cost ($) Revenue ($)

(Q) (100,000 + 100Q) (200Q)

0 100,000 02000 300,000 400,000

Page 5: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Break-Even AnalysisBreak-Even Analysis

400 –400 –

300 –300 –

200 –200 –

100 –100 –

0 –0 –

Total annual revenuesTotal annual revenues

Patients (Patients (QQ))

Do

llars

(in

th

ou

san

ds)

Do

llars

(in

th

ou

san

ds)

|| || || ||

500500 10001000 15001500 20002000

(2000, 400)(2000, 400)

Example A.1Example A.1

Quantity Total Annual Total Annual(patients) Cost ($) Revenue ($)

(Q) (100,000 + 100Q) (200Q)

0 100,000 02000 300,000 400,000

Page 6: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Break-Even AnalysisBreak-Even Analysis

Total annual revenuesTotal annual revenues

Total annual costsTotal annual costs

Patients (Patients (QQ))

Do

llars

(in

th

ou

san

ds)

Do

llars

(in

th

ou

san

ds)

400 –400 –

300 –300 –

200 –200 –

100 –100 –

0 –0 –|| || || ||

500500 10001000 15001500 20002000

Fixed costsFixed costs

(2000, 400)(2000, 400)

(2000, 300)(2000, 300)

Example A.1Example A.1

Quantity Total Annual Total Annual(patients) Cost ($) Revenue ($)

(Q) (100,000 + 100Q) (200Q)

0 100,000 02000 300,000 400,000

Page 7: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Break-Even AnalysisBreak-Even Analysis

Total annual revenuesTotal annual revenues

Total annual costsTotal annual costs

Patients (Patients (QQ))

Do

llars

(in

th

ou

san

ds)

Do

llars

(in

th

ou

san

ds)

400 –400 –

300 –300 –

200 –200 –

100 –100 –

0 –0 –|| || || ||

500500 10001000 15001500 20002000

Fixed costsFixed costs

Break-even quantityBreak-even quantity

(2000, 400)(2000, 400)

(2000, 300)(2000, 300)

ProfitsProfits

LossLoss

Example A.1Example A.1

Quantity Total Annual Total Annual(patients) Cost ($) Revenue ($)

(Q) (100,000 + 100Q) (200Q)

0 100,000 02000 300,000 400,000

Page 8: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Break-Even AnalysisBreak-Even Analysis

400 –400 –

300 –300 –

200 –200 –

100 –100 –

0 –0 –

Figure A.1Figure A.1

Total annual revenuesTotal annual revenues

Total annual costsTotal annual costs

Patients (Patients (QQ))

Do

llars

(in

th

ou

san

ds)

Do

llars

(in

th

ou

san

ds)

|| || || ||

500500 10001000 15001500 20002000

Fixed costsFixed costs

Break-even quantityBreak-even quantity

(2000, 400)(2000, 400)

(2000, 300)(2000, 300)

ProfitsProfits

LossLoss

Page 9: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Sensitivity AnalysisSensitivity Analysis

400 –400 –

300 –300 –

200 –200 –

100 –100 –

0 –0 –

Total annual revenuesTotal annual revenues

Total annual costsTotal annual costs

Patients (Patients (QQ))

Do

llars

(in

th

ou

san

ds)

Do

llars

(in

th

ou

san

ds)

|| || || ||

500500 10001000 15001500 20002000

Fixed costsFixed costs

ProfitsProfits

LossLoss

Example A.2Example A.2

Page 10: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Sensitivity AnalysisSensitivity Analysis

400 –400 –

300 –300 –

200 –200 –

100 –100 –

0 –0 –

Example A.2Example A.2

Total annual revenuesTotal annual revenues

Total annual costsTotal annual costs

Patients (Patients (QQ))

Do

llars

(in

th

ou

san

ds)

Do

llars

(in

th

ou

san

ds)

|| || || ||

500500 10001000 15001500 20002000

Fixed costsFixed costs

ProfitsProfits

LossLoss

Forecast = 1,500Forecast = 1,500

Page 11: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Sensitivity AnalysisSensitivity Analysis

400 –400 –

300 –300 –

200 –200 –

100 –100 –

0 –0 –

Total annual revenuesTotal annual revenues

Total annual costsTotal annual costs

Patients (Patients (QQ))

Do

llars

(in

th

ou

san

ds)

Do

llars

(in

th

ou

san

ds)

|| || || ||

500500 10001000 15001500 20002000

Fixed costsFixed costs

ProfitsProfits

LossLoss

Example A.2Example A.2

Forecast = 1,500Forecast = 1,500

pQ – (F + cQ)

Page 12: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Sensitivity AnalysisSensitivity Analysis

400 –400 –

300 –300 –

200 –200 –

100 –100 –

0 –0 –

Total annual revenuesTotal annual revenues

Total annual costsTotal annual costs

Patients (Patients (QQ))

Do

llars

(in

th

ou

san

ds)

Do

llars

(in

th

ou

san

ds)

|| || || ||

500500 10001000 15001500 20002000

Fixed costsFixed costs

ProfitsProfits

LossLoss

Example A.2Example A.2

Forecast = 1,500Forecast = 1,500

pQ – (F + cQ)

200(1500) – [100,000 + 100(1500)]

$50,000

Page 13: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Make-or-Buy DecisionsMake-or-Buy Decisions

Page 14: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Make-or-Buy DecisionsMake-or-Buy Decisions

Figure A.2Figure A.2

Page 15: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Make-or-Buy DecisionsMake-or-Buy Decisions

Q =Fm – Fb

cb – cm

Q =12,000 – 2,400

2.0 – 1.5

Example A.3Example A.3

Page 16: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Make-or-Buy DecisionsMake-or-Buy Decisions

Example A.3Example A.3

Q =Fm – Fb

cb – cm

Q = 19,200 salads

Page 17: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Preference MatrixPreference Matrix

Page 18: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Preference MatrixPreference Matrix

PerformancePerformance WeightWeight ScoreScore Weighted ScoreWeighted ScoreCriterionCriterion ((AA)) ((BB)) ((AA x x BB))

Market potentialMarket potentialUnit profit marginUnit profit marginOperations compatibilityOperations compatibilityCompetitive advantageCompetitive advantageInvestment requirementInvestment requirementProject riskProject risk

Threshold score Threshold score = 800= 800

Example A.4Example A.4

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To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Preference MatrixPreference Matrix

PerformancePerformance WeightWeight ScoreScore Weighted ScoreWeighted ScoreCriterionCriterion ((AA)) ((BB)) ((AA x x BB))

Market potentialMarket potential 3030Unit profit marginUnit profit margin 2020Operations compatibilityOperations compatibility 2020Competitive advantageCompetitive advantage 1515Investment requirementInvestment requirement 1010Project riskProject risk 55

Threshold score Threshold score = 800= 800

Example A.4Example A.4

Page 20: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Preference MatrixPreference Matrix

PerformancePerformance WeightWeight ScoreScore Weighted ScoreWeighted ScoreCriterionCriterion ((AA)) ((BB)) ((AA x x BB))

Market potentialMarket potential 3030 88Unit profit marginUnit profit margin 2020 1010Operations compatibilityOperations compatibility 2020 66Competitive advantageCompetitive advantage 1515 1010Investment requirementInvestment requirement 1010 22Project riskProject risk 55 44

Threshold score Threshold score = 800= 800

Example A.4Example A.4

Page 21: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Preference MatrixPreference Matrix

PerformancePerformance WeightWeight ScoreScore Weighted ScoreWeighted ScoreCriterionCriterion ((AA)) ((BB)) ((AA x x BB))

Market potentialMarket potential 3030 88 240240Unit profit marginUnit profit margin 2020 1010 200200Operations compatibilityOperations compatibility 2020 66 120120Competitive advantageCompetitive advantage 1515 1010 150150Investment requirementInvestment requirement 1010 22 2020Project riskProject risk 55 44 2020

Threshold score Threshold score = 800= 800

Example A.4Example A.4

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To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Preference MatrixPreference Matrix

PerformancePerformance WeightWeight ScoreScore Weighted ScoreWeighted ScoreCriterionCriterion ((AA)) ((BB)) ((AA x x BB))

Market potentialMarket potential 3030 88 240240Unit profit marginUnit profit margin 2020 1010 200200Operations compatibilityOperations compatibility 2020 66 120120Competitive advantageCompetitive advantage 1515 1010 150150Investment requirementInvestment requirement 1010 22 2020Project riskProject risk 55 44 2020

Weighted score =Weighted score = 750750

Threshold score Threshold score = 800= 800

Example A.4Example A.4

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To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Preference MatrixPreference Matrix

PerformancePerformance WeightWeight ScoreScore Weighted ScoreWeighted ScoreCriterionCriterion ((AA)) ((BB)) ((AA x x BB))

Market potentialMarket potential 3030 88 240240Unit profit marginUnit profit margin 2020 1010 200200Operations compatibilityOperations compatibility 2020 66 120120Competitive advantageCompetitive advantage 1515 1010 150150Investment requirementInvestment requirement 1010 22 2020Project riskProject risk 55 44 2020

Weighted score =Weighted score = 750750

Threshold score Threshold score = 800= 800

Example A.4Example A.4

< 800< 800

Page 24: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Preference MatrixPreference Matrix

PerformancePerformance WeightWeight ScoreScore Weighted ScoreWeighted ScoreCriterionCriterion ((AA)) ((BB)) ((AA x x BB))

Market potentialMarket potential 3030 88 240240Unit profit marginUnit profit margin 2020 1010 200200Operations compatibilityOperations compatibility 2020 66 120120Competitive advantageCompetitive advantage 1515 1010 150150Investment requirementInvestment requirement 1010 22 2020Project riskProject risk 55 44 2020

Weighted score =Weighted score = 750750

Threshold score Threshold score = 800= 800

Example A.4Example A.4

Not At This Time

Not At This Time

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To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Preference MatrixPreference Matrix

Figure A.3

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To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Under CertaintyUnder Certainty

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To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Under CertaintyUnder Certainty

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

Example A.5Example A.5

Page 28: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Under CertaintyUnder Certainty

Example A.5Example A.5

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

If future demand will be low If future demand will be low ––

Page 29: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Under CertaintyUnder Certainty

Example A.5Example A.5

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

If future demand will be low If future demand will be low – – Choose the small facility.Choose the small facility.

Page 30: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Under CertaintyUnder Certainty

Example A.5Example A.5

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

If future demand will be low If future demand will be low – – Choose the small facility.Choose the small facility.

Page 31: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Under UncertaintyUnder Uncertainty

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

Example A.6Example A.6

Page 32: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Under UncertaintyUnder Uncertainty

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

Maximin Maximin ––

Example A.6Example A.6

Page 33: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Under UncertaintyUnder Uncertainty

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

Maximin Maximin ––

Best of the worstBest of the worst

Example A.6Example A.6

Page 34: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Under UncertaintyUnder Uncertainty

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

Maximin Maximin –– Small Small

Best of the worstBest of the worst

Example A.6Example A.6

Page 35: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Under UncertaintyUnder Uncertainty

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

Maximin Maximin – – SmallSmallMaximax Maximax ––

Example A.6Example A.6

Page 36: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Under UncertaintyUnder Uncertainty

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

Maximin Maximin –– Small SmallMaximax Maximax ––

Best of the bestBest of the best

Example A.6Example A.6

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To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Under UncertaintyUnder Uncertainty

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

Maximin Maximin –– Small SmallMaximax Maximax –– Large Large

Best of the bestBest of the best

Example A.6Example A.6

Page 38: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Under UncertaintyUnder Uncertainty

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

Maximin Maximin –– Small SmallMaximax Maximax –– Large LargeLaplace Laplace ––

Example A.6Example A.6

Page 39: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Under UncertaintyUnder Uncertainty

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

Maximin Maximin –– Small SmallMaximax Maximax –– Large LargeLaplace Laplace ––

Best Best weighted weighted payoffpayoff

Small facilitySmall facility 0.5(200) + 0.5(270) = 2350.5(200) + 0.5(270) = 235

Example A.6Example A.6

Page 40: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Under UncertaintyUnder Uncertainty

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

Maximin Maximin –– Small SmallMaximax Maximax –– Large LargeLaplace Laplace ––

Best Best weighted weighted payoffpayoff

Small facilitySmall facility 0.5(200) + 0.5(270) = 2350.5(200) + 0.5(270) = 235Large facilityLarge facility 0.5(160) + 0.5(800) = 4800.5(160) + 0.5(800) = 480

Example A.6Example A.6

Page 41: To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved. Decision

To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Under UncertaintyUnder Uncertainty

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

Maximin Maximin –– Small SmallMaximax Maximax –– Large LargeLaplace Laplace –– Large Large

Best Best weighted weighted payoffpayoff

Small facilitySmall facility 0.5(200) + 0.5(270) = 2350.5(200) + 0.5(270) = 235Large facilityLarge facility 0.5(160) + 0.5(800) = 4800.5(160) + 0.5(800) = 480

Example A.6Example A.6

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To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Under UncertaintyUnder Uncertainty

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

Maximin Maximin –– Small SmallMaximax Maximax –– Large LargeLaplace Laplace –– Large LargeMinimax Regret Minimax Regret ––

Example A.6Example A.6

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To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Under UncertaintyUnder Uncertainty

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

Example A.6Example A.6

Maximin Maximin –– Small SmallMaximax Maximax –– Large LargeLaplace Laplace –– Large LargeMinimax Regret Minimax Regret ––

Best Best worst worst regretregret

RegretRegretLow DemandLow Demand High DemandHigh Demand

Small facilitySmall facility 200 – 200 = 0200 – 200 = 0 800 – 270 = 530800 – 270 = 530

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To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Under UncertaintyUnder Uncertainty

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

Example A.6Example A.6

Maximin Maximin –– Small SmallMaximax Maximax –– Large LargeLaplace Laplace –– Large LargeMinimax Regret Minimax Regret ––

Best Best worst worst regretregret

RegretRegretLow DemandLow Demand High DemandHigh Demand

Small facilitySmall facility 200 – 200 = 0200 – 200 = 0 800 – 270 = 530800 – 270 = 530Large facilityLarge facility 200 – 160 = 40200 – 160 = 40 800 – 800 = 0800 – 800 = 0

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Under UncertaintyUnder Uncertainty

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

Example A.6Example A.6

Maximin Maximin –– Small SmallMaximax Maximax –– Large LargeLaplace Laplace –– Large LargeMinimax Regret Minimax Regret –– Large Large

Best Best worst worst regretregret

RegretRegretLow DemandLow Demand High DemandHigh Demand

Small facilitySmall facility 200 – 200 = 0200 – 200 = 0 800 – 270 = 530800 – 270 = 530Large facilityLarge facility 200 – 160 = 40200 – 160 = 40 800 – 800 = 0800 – 800 = 0

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Under UncertaintyUnder Uncertainty

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

Maximin Maximin –– Small SmallMaximax Maximax –– Large LargeLaplace Laplace –– Large LargeMinimax Regret Minimax Regret –– Large Large

Example A.6Example A.6

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Under RiskUnder Risk

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

PPsmallsmall = 0.4 = 0.4

PPlargelarge = 0.6 = 0.6

Example A.7Example A.7

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Under RiskUnder Risk

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

PPsmallsmall = 0.4 = 0.4

PPlargelarge = 0.6 = 0.6

Example A.7Example A.7

AlternativeAlternative Expected ValueExpected Value

Small facilitySmall facility 0.4(200) + 0.6(270) = 2420.4(200) + 0.6(270) = 242

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Under RiskUnder Risk

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

PPsmallsmall = 0.4 = 0.4

PPlargelarge = 0.6 = 0.6

Example A.7Example A.7

AlternativeAlternative Expected ValueExpected Value

Small facilitySmall facility 0.4(200) + 0.6(270) = 2420.4(200) + 0.6(270) = 242Large facilityLarge facility 0.4(160) + 0.6(800) = 5440.4(160) + 0.6(800) = 544

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Under RiskUnder Risk

Highest Highest Expected Expected ValueValue

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

PPsmallsmall = 0.4 = 0.4

PPlargelarge = 0.6 = 0.6

Example A.7Example A.7

AlternativeAlternative Expected ValueExpected Value

Small facilitySmall facility 0.4(200) + 0.6(270) = 2420.4(200) + 0.6(270) = 242Large facilityLarge facility 0.4(160) + 0.6(800) = 5440.4(160) + 0.6(800) = 544

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Under RiskUnder RiskFigure A.4

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Perfect InformationPerfect Information

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

PPsmallsmall = 0.4 = 0.4

PPlargelarge = 0.6 = 0.6

Example A.8Example A.8

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Perfect InformationPerfect Information

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

PPsmallsmall = 0.4 = 0.4

PPlargelarge = 0.6 = 0.6

Example A.8Example A.8

EventEvent Best PayoffBest Payoff

Low demandLow demand 200200High demandHigh demand 800800

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Perfect InformationPerfect Information

EventEvent Best PayoffBest Payoff

Low demandLow demand 200200 EVEVperfectperfect = 200(0.4) + 800(0.6) = 560 = 200(0.4) + 800(0.6) = 560

High demandHigh demand 800800

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

PPsmallsmall = 0.4 = 0.4

PPlargelarge = 0.6 = 0.6

Example A.8Example A.8

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Perfect InformationPerfect Information

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

PPsmallsmall = 0.4 = 0.4

PPlargelarge = 0.6 = 0.6

Example A.8Example A.8

EventEvent Best PayoffBest Payoff

Low demandLow demand 200200 EVEVperfectperfect = 200(0.4) + 800(0.6) = 560 = 200(0.4) + 800(0.6) = 560

High demandHigh demand 800800 EVEVimperfectimperfect = 160(0.4) + 800(0.6) = 544 = 160(0.4) + 800(0.6) = 544

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Perfect InformationPerfect Information

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

PPsmallsmall = 0.4 = 0.4

PPlargelarge = 0.6 = 0.6

Example A.8Example A.8

EventEvent Best PayoffBest Payoff

Low demandLow demand 200200 EVEVperfectperfect = 200(0.4) + 800(0.6) = 560 = 200(0.4) + 800(0.6) = 560

High demandHigh demand 800800 EVEVimperfectimperfect = 160(0.4) + 800(0.6) = 544 = 160(0.4) + 800(0.6) = 544

Value of perfect information = $560,000 - $544,000Value of perfect information = $560,000 - $544,000

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To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Perfect InformationPerfect Information

AlternativeAlternative LowLow HighHigh

Small facilitySmall facility 200200 270270Large facilityLarge facility 160160 800800Do nothingDo nothing 00 00

PossiblePossibleFuture DemandFuture Demand

PPsmallsmall = 0.4 = 0.4

PPlargelarge = 0.6 = 0.6

Example A.8Example A.8

EventEvent Best PayoffBest Payoff

Low demandLow demand 200200 EVEVperfectperfect = 200(0.4) + 800(0.6) = 560 = 200(0.4) + 800(0.6) = 560

High demandHigh demand 800800 EVEVimperfectimperfect = 160(0.4) + 800(0.6) = 544 = 160(0.4) + 800(0.6) = 544

Value of perfect information = $16,000Value of perfect information = $16,000

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Decision TreesDecision Trees

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Decision TreesDecision Trees

= Event node= Event node

= Decision node= Decision node

EEii = Event = Event ii

PP((EEii) = Probability of event ) = Probability of event ii

1st1stdecisiondecision

PossiblePossible2nd decision2nd decision

Payoff 1Payoff 1

Payoff 2Payoff 2

Payoff 3Payoff 3

Alternative 3Alternative 3

Alternative 4Alternative 4

Alternative 5Alternative 5

Payoff 1Payoff 1

Payoff 2Payoff 2

Payoff 3Payoff 3

EE11 [ [PP((EE11)])]

EE22 [ [PP((EE22)])]

EE33 [ [PP((EE33)])]

EE22 [ [PP((EE22)])]

EE33 [ [PP((EE33)])]

EE 11 [ [PP

((EE 11)])]

Altern

ativ

e 1

Altern

ativ

e 1

Alternative 2

Alternative 2

Payoff 1Payoff 1

Payoff 2Payoff 2

1 2

Figure A.5Figure A.5

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Decision TreesDecision Trees

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Decision TreesDecision Trees

Smal

l fac

ility

Smal

l fac

ility

Large facility

Large facility

1

Example A.9Example A.9

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Decision TreesDecision Trees

Smal

l fac

ility

Smal

l fac

ility

Large facility

Large facility

Low demand [0.4]Low demand [0.4]

Don’t expandDon’t expand

ExpandExpand

$200$200

$223$223

$270$270

High demand

High demand

[0.6][0.6]

1

2

Example A.9Example A.9

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To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Decision TreesDecision Trees

Low dem

and

Low dem

and

[0.4]

[0.4]

Smal

l fac

ility

Smal

l fac

ility

Large facility

Large facility

Low demand [0.4]Low demand [0.4]

Don’t expandDon’t expand

ExpandExpand

Do nothingDo nothing

AdvertiseAdvertise

$200$200

$223$223

$270$270

$40$40

$800$800

Modest response [0.3]Modest response [0.3]

Sizable response [0.7]Sizable response [0.7]

$20$20

$220$220

High demand

High demand

[0.6][0.6]

High demand [0.6]High demand [0.6]

1

2

3

Example A.9Example A.9

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Decision TreesDecision Trees

Low dem

and

Low dem

and

[0.4]

[0.4]

Smal

l fac

ility

Smal

l fac

ility

Large facility

Large facility

Low demand [0.4]Low demand [0.4]

Don’t expandDon’t expand

ExpandExpand

Do nothingDo nothing

AdvertiseAdvertise

$200$200

$223$223

$270$270

$40$40

$800$800

Modest response [0.3]Modest response [0.3]

Sizable response [0.7]Sizable response [0.7]

$20$20

$220$220

High demand

High demand

[0.6][0.6]

High demand [0.6]High demand [0.6]

1

2

3

Example A.9Example A.9

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Decision TreesDecision Trees

Low dem

and

Low dem

and

[0.4]

[0.4]

Smal

l fac

ility

Smal

l fac

ility

Large facility

Large facility

Low demand [0.4]Low demand [0.4]

Don’t expandDon’t expand

ExpandExpand

Do nothingDo nothing

AdvertiseAdvertise

$200$200

$223$223

$270$270

$40$40

$800$800

Modest response [0.3]Modest response [0.3]

Sizable response [0.7]Sizable response [0.7]

$20$20

$220$220

High demand

High demand

[0.6][0.6]

High demand [0.6]High demand [0.6]

1

2

3

0.3(20) + 0.7(220))

Example A.9Example A.9

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Decision TreesDecision Trees

$160$160Low d

emand

Low dem

and

[0.4]

[0.4]

Smal

l fac

ility

Smal

l fac

ility

Large facility

Large facility

Low demand [0.4]Low demand [0.4]

Don’t expandDon’t expand

ExpandExpand

Do nothingDo nothing

AdvertiseAdvertise

$200$200

$223$223

$270$270

$40$40

$800$800

Modest response [0.3]Modest response [0.3]

Sizable response [0.7]Sizable response [0.7]

$20$20

$220$220

High demand

High demand

[0.6][0.6]

High demand [0.6]High demand [0.6]

1

2

3

0.3(20) + 0.7(220)

Example A.9Example A.9

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Decision TreesDecision Trees

$160$160Low d

emand

Low dem

and

[0.4]

[0.4]

$160$160

Smal

l fac

ility

Smal

l fac

ility

Large facility

Large facility

Low demand [0.4]Low demand [0.4]

Don’t expandDon’t expand

ExpandExpand

Do nothingDo nothing

AdvertiseAdvertise

$200$200

$223$223

$270$270

$40$40

$800$800

Modest response [0.3]Modest response [0.3]

Sizable response [0.7]Sizable response [0.7]

$20$20

$220$220

High demand

High demand

[0.6][0.6]

High demand [0.6]High demand [0.6]

1

2

3

$270$270

Example A.9Example A.9

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Decision TreesDecision Trees

($160)($160)Low d

emand

Low dem

and

[0.4]

[0.4]

$270$270

$160$160

Smal

l fac

ility

Smal

l fac

ility

Large facility

Large facility

Low demand [0.4]Low demand [0.4]

Don’t expandDon’t expand

ExpandExpand

Do nothingDo nothing

AdvertiseAdvertise

$200$200

$223$223

$270$270

$40$40

$800$800

Modest response [0.3]Modest response [0.3]

Sizable response [0.7]Sizable response [0.7]

$20$20

$220$220

High demand

High demand

[0.6][0.6]

High demand [0.6]High demand [0.6]

1

2

3

Example A.9Example A.9

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Decision TreesDecision Trees

($160)($160)Low d

emand

Low dem

and

[0.4]

[0.4]

$270$270

$160$160

Smal

l fac

ility

Smal

l fac

ility

Large facility

Large facility

Low demand [0.4]Low demand [0.4]

Don’t expandDon’t expand

ExpandExpand

Do nothingDo nothing

AdvertiseAdvertise

$200$200

$223$223

$270$270

$40$40

$800$800

Modest response [0.3]Modest response [0.3]

Sizable response [0.7]Sizable response [0.7]

$20$20

$220$220

High demand

High demand

[0.6][0.6]

High demand [0.6]High demand [0.6]

1

2

3

0.4(200) + 0.6(270)

0.4(160) + 0.6(800)

Example A.9Example A.9

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Decision TreesDecision Trees

($160)($160)Low d

emand

Low dem

and

[0.4]

[0.4]

$270$270

$160$160

Smal

l fac

ility

Smal

l fac

ility

Large facility

Large facility

$242$242

$544$544

Low demand [0.4]Low demand [0.4]

Don’t expandDon’t expand

ExpandExpand

Do nothingDo nothing

AdvertiseAdvertise

$200$200

$223$223

$270$270

$40$40

$800$800

Modest response [0.3]Modest response [0.3]

Sizable response [0.7]Sizable response [0.7]

$20$20

$220$220

High demand

High demand

[0.6][0.6]

High demand [0.6]High demand [0.6]

1

2

3

Example A.9Example A.9

0.4(200) + 0.6(270)

0.4(160) + 0.6(800)

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Decision TreesDecision Trees

$160$160Low d

emand

Low dem

and

[0.4]

[0.4]

$270$270

$160$160

Smal

l fac

ility

Smal

l fac

ility

Large facility

Large facility

$544$544

$242$242

$544$544

Low demand [0.4]Low demand [0.4]

Don’t expandDon’t expand

ExpandExpand

Do nothingDo nothing

AdvertiseAdvertise

$200$200

$223$223

$270$270

$40$40

$800$800

Modest response [0.3]Modest response [0.3]

Sizable response [0.7]Sizable response [0.7]

$20$20

$220$220

High demand

High demand

[0.6][0.6]

High demand [0.6]High demand [0.6]

1

2

3

Example A.9Example A.9

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Decision TreesDecision Trees

$160$160Low d

emand

Low dem

and

[0.4]

[0.4]

$270$270

$160$160

Smal

l fac

ility

Smal

l fac

ility

Large facility

Large facility

$544$544

$242$242

$544$544

Low demand [0.4]Low demand [0.4]

Don’t expandDon’t expand

ExpandExpand

Do nothingDo nothing

AdvertiseAdvertise

$200$200

$223$223

$270$270

$40$40

$800$800

Modest response [0.3]Modest response [0.3]

Sizable response [0.7]Sizable response [0.7]

$20$20

$220$220

High demand

High demand

[0.6][0.6]

High demand [0.6]High demand [0.6]

1

2

3

Figure A.6Figure A.6

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To Accompany Krajewski & Ritzman Operations Management: Strategy and Analysis, Seventh Edition © 2004 Prentice Hall, Inc. All rights reserved.

Solved Problem 1Solved Problem 1

250 –250 –

200 –200 –

150 –150 –

100 –100 –

50 –50 –

0 –0 –

Figure A.7Figure A.7

Total revenuesTotal revenues

Total costsTotal costs

Units (in thousands)Units (in thousands)

Do

llars

(in

th

ou

san

ds)

Do

llars

(in

th

ou

san

ds)

|| || || || || || || ||

11 22 33 44 55 66 77 88

Break-evenBreak-evenquantityquantity

3.13.1

$77.7$77.7

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Solved Problem 4Solved Problem 4

Figure A.8Figure A.8

Bad times [0.3]Bad times [0.3]

Normal times [0.5]Normal times [0.5]

Good times [0.2]Good times [0.2]

One liftOne lift

Two liftsTwo lifts

Bad times [0.3]Bad times [0.3]

Normal times [0.5]Normal times [0.5]

Good times [0.2]Good times [0.2]

$256.0$256.0

$225.3$225.3

$256.0$256.0

$191$191

$240$240

$240$240

$151$151

$245$245

$441$441