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  • ISBN-10 ‏ : ‎ 0132751917
  • ISBN-13 ‏ : ‎ 978-0132751919
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“Introduction to Management Science” shows readers how to approach decision-making problems in a straightforward, logical way. Through the use of clear explanations and examples, this text helps readers learn how to solve problems and make decisions based on the results. The eleventh edition reflects the latest version of Excel, and provides many new problems for instructors to assign.

Table contents:

Chapter 1
Introduction 2
1.1	The Nature of Management Science 4
1.2	An Illustration of the Management Science Approach: Break-Even 
Analysis 7
1.3	The Impact of Management Science 13
1.4	Some Special Features of This Book 16
1.5	Summary 18
Glossary 18
Learning Aids for This Chapter in Your MS Courseware 19
Problems 19
Chapter 2
Linear Programming: Basic Concepts 22
2.1	Three Classic Applications of Linear Programming 23
2.2	A Case Study: The Wyndor Glass Co. Product-Mix Problem 26
2.3	Formulating the Wyndor Problem on a Spreadsheet 30
2.4	The Mathematical Model in the Spreadsheet 35
2.5	The Graphical Method for Solving Two-Variable Problems 37
2.6	Using Excel to Solve Linear Programming Problems 46
2.7	A Minimization Example?The Profit & Gambit Co. Advertising-Mix 
Problem 48
2.8	Linear Programming from a Managerial Perspective 55
2.9	Summary 56
Glossary 56
Learning Aids for This Chapter in Your MS Courseware 57
Problems 57
Case 2-1 Auto Assembly 70
Case 2-2 Cutting Cafeteria Costs 71
Case 2-3 Staffing a Call Center 72
Chapter 3
The Art of Modeling with Spreadsheets 76
3.1	A Case Study: The Everglade Golden Years Company Cash Flow 
Problem 78
3.2	Overview of the Process of Modeling with Spreadsheets 79
3.3	Some Guidelines for Building ?Good? Spreadsheet Models 89
3.4	Debugging a Spreadsheet Model 95
3.5	Summary 98
Glossary 99
Learning Aids for This Chapter in Your MS Courseware 99
Problems 99
Case 3-1 Prudent Provisions for Pensions 102
Chapter 4
Linear Programming: Formulation and Applications 104
4.1	A Case Study: The Super Grain Corp. Advertising-Mix Problem 106
4.2	Resource-Allocation Problems 113
4.3	Cost?Benefit?Trade-Off Problems 121
4.4	Distribution-Network Problems 128
4.5	Continuing the Super Grain Case Study 132
4.6	Mixed Problems 136
4.7	Model Formulation from a Managerial Perspective 143
4.8	Classic Applications of Linear Programming, Revisited 145
4.9	Summary 148
Glossary 148
Learning Aids for This Chapter in Your MS Courseware 148
Problems 149
Case 4-1 Fabrics and Fall Fashions 159
Case 4-2 New Frontiers 161
Case 4-3 Assigning Students to Schools 163
Case 4-4 Kuwait?s al-Manakh Stock Market 164
Chapter 5
What-If Analysis for Linear Programming 170
5.1	The Importance of What-If Analysis to Managers 171
5.2	Continuing the Wyndor Case Study 173
5.3	The Effect of Changes in One Objective Function Coefficient 176
5.4	The Effect of Simultaneous Changes in Objective Function Coefficients 182
5.5	The Effect of Single Changes in a Constraint 190
5.6	The Effect of Simultaneous Changes in the Constraints 196
5.7	Summary 201
Glossary 201
Learning Aids for This Chapter in Your MS Courseware 201
Problems 202
Case 5-1 Selling Soap 209
Case 5-2 Controlling Air Pollution 211
Case 5-3 Farm Management 213
Case 5-4 -Assigning Students to Schools (Revisited) 216
Chapter 6
Transportation and Assignment Problems 218
6.1	A Case Study: The P & T Company Distribution Problem 219
6.2	Characteristics of Transportation Problems 222
6.3	Modeling Variants of Transportation Problems 228
6.4	Some Other Applications of Variants of Transportation Problems 233
6.5	A Case Study: The Texago Corp. Site Selection Problem 241
6.6	Characteristics of Assignment Problems 250
6.7	Modeling Variants of Assignment Problems 254
6.8	Summary 261
Glossary 261
Learning Aids for This Chapter in Your MS Courseware 261
Problems 261
Case 6-1 Shipping Wood to Market 268
Case 6-2 -Continuation of the Texago Case Study 269
Case 6-3 Project Pickings 271
Chapter 7
Network Optimization Problems 274
7.1	Minimum-Cost Flow Problems 276
7.2	A Case Study: The BMZ Co. Maximum Flow Problem 283
7.3	Maximum Flow Problems 286
7.4	Shortest Path Problems 290
7.5	Minimum Spanning-Tree Problems 299
7.6	Summary 304
Glossary 305
Learning Aids for This Chapter in Your MS Courseware 306
Problems 306
Case 7-1 Aiding Allies 314
Case 7-2 Money in Motion 319
Chapter 8
PERT/CPM Models for Project Management 322
8.1	A Case Study: The Reliable Construction Co. Project 324
8.2	Using a Network to Visually Display a Project 325
8.3	Scheduling a Project with PERT/CPM 329
8.4	Dealing with Uncertain Activity Durations 339
8.5	Considering Time?Cost Trade-Offs 346
8.6	Scheduling and Controlling Project Costs 353
8.7	An Evaluation of PERT/CPM from a Managerial Perspective 359
8.8	Summary 363
Glossary 364
Learning Aids for This Chapter in Your MS Courseware 365
Problems 365
Case 8-1 Steps to Success 377
Case 8-2 ?School?s Out Forever . . .? 379
Chapter 9
Integer Programming 382
9.1	General Integer Programming 383
9.2	A Case Study: The California Manufacturing Co. Problem 390
9.3	Some Other Applications 396
9.4	Some Other Formulation Possibilities with Binary Variables 401
9.5	Some Formulation Examples 412
9.6	Summary 421
Glossary 422
Learning Aids for This Chapter in Your MS Courseware 422
Problems 423
Case 9-1 Capacity Concerns 429
Case 9-2 Assigning Art 431
Case 9-3 Stocking Sets 433
Case 9-4 -Assigning Students to Schools (Revisited) 437
Chapter 10
Nonlinear Programming 438
10.1	The Challenges of Nonlinear Programming 440
10.2	Nonlinear Programming with Decreasing Marginal Returns 448
10.3	Separable Programming 458
10.4	Difficult Nonlinear Programming Problems 468
10.5	Evolutionary Solver and Genetic Algorithms 470
10.6	Summary 475
Glossary 476
Learning Aids for This Chapter in Your MS Courseware 476
Problems 477
Case 10-1 -Continuation of the Super Grain Case Study 484
Case 10-2 Savvy Stock Selection 485
Case 10-3 International Investments 487
Chapter 11
Goal Programming 490
11.1	A Case Study: The Dewright Co. Goal-Programming Problem 491
11.2	Weighted Goal Programming 498
11.3	Preemptive Goal Programming 502
11.4	Summary 507
Glossary 507
Learning Aids for This Chapter in Your MS Courseware 508
Problems 508
Case 11-1 A Cure for Cuba 511
Case 11-2 Remembering September 11 513
Chapter 12
Decision Analysis 516
12.1	A Case Study: The Goferbroke Company Problem 518
12.2	Decision Criteria 520
12.3	Decision Trees 525
12.4	Sensitivity Analysis with Decision Trees 529
12.5	Checking Whether to Obtain More Information 534
12.6	Using New Information to Update the Probabilities 538
12.7	Using a Decision Tree to Analyze the Problem with a Sequence of 
Decisions 542
12.8	Performing Sensitivity Analysis on the Problem with a Sequence of 
Decisions 547
12.9	Using Utilities to Better Reflect the Values of Payoffs 554
12.10	The Practical Application of Decision Analysis 568
12.11	Summary 571
Glossary 571
Learning Aids for This Chapter in Your MS Courseware 572
Problems 573
Case 12-1 Brainy Business 587
Case 12-2 Smart Steering Support 589
Chapter 13
Forecasting 592
13.1	Some Applications of Forecasting 593
13.2	A Case Study: The Computer Club Warehouse (CCW) Problem 597
13.3	Applying Time-Series Forecasting Methods to the Case Study 601
13.4	Time-Series Forecasting with CB Predictor 620
13.5	The Time-Series Forecasting Methods in Perspective 623
13.6	Causal Forecasting with Linear Regression 627
13.7	Judgmental Forecasting Methods 633
13.8	Forecasting in Practice 634
13.9	Summary 635
Glossary 635
Summary of Key Formulas 636
Learning Aids for This Chapter in Your MS Courseware 637
Problems 637
Case 13-1 Finagling the Forecasts 648
Chapter 14
Queueing Models 652
14.1	Elements of a Queueing Model 653
14.2	Some Examples of Queueing Systems 661
14.3	Measures of Performance for Queueing Systems 663
14.4	A Case Study: The Dupit Corp. Problem 666
14.5	Some Single-Server Queueing Models 669
14.6	Some Multiple-Server Queueing Models 678
14.7	Priority Queueing Models 684
14.8	Some Insights about Designing Queueing Systems 690
14.9	Economic Analysis of the Number of Servers to Provide 694
14.10	Some Award-Winning Applications of Queueing Models 697
14.11	Summary 700
Glossary 700
Key Symbols 701
Learning Aids for This Chapter in Your MS Courseware 701
Problems 702
Case 14-1 Queueing Quandary 711
Case 14-2 Reducing In-Process Inventory 712
Case 14-3 KeyCorp 714
Chapter 15
Computer Simulation: Basic Concepts 720
15.1	The Essence of Computer Simulation 721
15.2	A Case Study: Herr Cutter?s Barber Shop (Revisited) 735
15.3	Analysis of the Case Study 744
15.4	Some Common Types of Applications 751
15.5	Outline of a Major Computer Simulation Study 755
15.6	Summary 759
Glossary 760
Learning Aids for This Chapter in Your MS Courseware 760
Problems 761
Case 15-1 Planning Planers 767
Case 15-2 -Reducing In-Process Inventory (Revisited) 768
Chapter 16
Computer Simulation with Crystal Ball 770
16.1	A Case Study: Freddie the Newsboy?s Problem 771
16.2	Bidding for a Construction Project: A Prelude to the Reliable Construction 
Co. 
Case Study 781
16.3	Project Management: Revisiting the Reliable Construction Co. Case Study 
785
16.4	Cash Flow Management: Revisiting the Everglade Golden Years Company Case 
Study 791
16.5	Financial Risk Analysis: Revisiting the Think-Big Development Co. Problem 
796
16.6	Revenue Management in the Travel Industry 800
16.7	Choosing the Right Distribution 805
16.8	Decision Making with Decision Tables 817
16.9	Optimizing with OptQuest 825
16.10	Summary 835
Glossary 836
Learning Aids for This Chapter in Your MS Courseware 836
Problems 836
Case 16-1 Action Adventures 842
Case 16-2 Pricing under Pressure 843
Appendix A
Table for the Normal Distribution 846
Appendix B
Partial Answers to Selected Problems 849
Index 858
Supplements on the CD-ROM
Supplement to Chapter 8: The Procedure for Constructing a Project Network
Supplement to Chapter 9: Some Perspectives on Solving Binary Integer Programming 
Problems
Supplement to Chapter 12: Decision Criteria
Supplement to Chapter 14: Finite Queue and Finite Calling Population Variations 
of the 
M/M/s Model
Chapters on the CD-ROM
Chapter 17
Solution Concepts for Linear Programming
17.1	Some Key Facts about Optimal Solutions
17.2	The Role of Corner Points in Searching for an Optimal Solution
17.3	Solution Concepts for the Simplex Method
17.4	Computer Implementation of the Simplex Method
17.5	The Interior-Point Approach to Solving Linear Programming Problems
17.6	Summary
Glossary
Learning Aids for This Chapter in Your MS Courseware
Problems
Supplement to Chapter 17: More About the Simplex Method
Chapter 18
Inventory Management with Known Demand
18.1	A Case Study: The Atlantic Coast Tire Corp. (ACT) Problem
18.2	Cost Components of Inventory Models
18.3	The Basic Economic Order Quantity (EOQ) Model
18.4	The Optimal Inventory Policy for the Basic EOQ Model
18.5	The EOQ Model with Planned Shortages
18.6	The EOQ Model with Quantity Discounts
18.7	The EOQ Model with Gradual Replenishment
18.8	Summary
Glossary
Learning Aids for This Chapter in Your MS Courseware
Problems
Case 18-1: Brushing Up on Inventory Control
Chapter 19
Inventory Management with Uncertain Demand
19.1	A Case Study for Perishable Products: Freddie the Newsboy?s 
Problem
19.2	An Inventory Model for Perishable Products
19.3	A Case Study for Stable Products: The Niko Camera Corp. Problem
19.4	The Management Science Team?s Analysis of the Case Study
19.5	A Continuous-Review Inventory Model for Stable Products
19.6	Larger Inventory Systems in Practice
19.7	Summary
Glossary
Learning Aids for This Chapter in Your MS Courseware
Problems
Case 19-1: TNT: Tackling Newsboy?s Teachings
Case 19-2: Jettisoning Surplus Stock
Introduction to Management Science
A Modeling and Case Studies Approach with Spreadsheets

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