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A guide to operations research/management science useful to engineers and managers. Using 51 case studies, the text presents a broad range of problems that illustrate how specific methods and strategies can be used to reduce uncertainty in decision making. Methods include various forecasting methods, linear programming, and game theory. Annotation copyright Book News, Inc. Portland, Or.

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CONTENTS
Series Introduction = ⅶ
Preface = ⅸ
Part 1 Chapter Prologue to Five Parts = 1
 Chapter 1. Operations Research / Management Science : From Military Missions to Corporate Markets = 3
 Chapter 2. Learning Strategy for Interactive Variables : Forward Application of Experiential Knowledge in Complex, Dynamic Problems = 15
 Chapter 3. Resource Allocation Strategy Using Ignored Interactions : Single and Multiple Technical Coefficients in Large, Static Problems = 27
 Chapter 4. Bargaining Strategy for Interactive Participants : Concomitant Coalitions in Complex, Interactive Problems = 35
 Chapter 5. Experimental Strategy for Interactive Variables : Composites out of Components in Complex, Dynamic Problems = 49
 Chapter 6. Adaptive Strategy for Reliable Forecasts : MESGRO Methodology for Dynamic Problems = 59
Part 2 Resource Allocation Strategy Using Ignored Interactions = 69
 Chapter 7. Linear Programming Concepts and Computations : LASZER Algorithm = 71
 Chapter 8. Linear Programming Concepts and Computations : NOSZER Algorithm = 89
 Chapter 9. Linear Programming Concepts and Computations : Minimization, Duality, Postoptimality, and Product Promotion ; Karmarkar's Interior Point Method = 101
 Chapter 10. Transportation Concepts and Computations : ADTEMP Algorithm = 125
 Chapter 11. OR／MS Protocol (OR／MSP) Analysis to Structure Uncertainty with Linear Programming : Airline Crew Pairing, Petroleum Refinery Production, and Steel Ingot Mold Sizes = 137
Part 3 Adaptive Strategy for Reliable Forecasts = 159
 Chapter 12. Forecasting of Technology and Territory : MESGRO Algorithm = 161
 Chapter 13. Forecasting Sales, Prices, Interest, and Expected Cost Excess : MESGRO Algorithm = 175
Part 4 Experimental Strategy for Interactive Variables = 197
 Chapter 14. Inventory Decisions in Missions and Markets = 199
 Chapter 15. Personnel and Facility Decisions in Missions and Markets = 219
 Chapter 16. OR／MS Protocol (OR／MSP) Analysis to Structure Uncertainty with Simulation : Sporting Wear Manufacture, Electric Energy Production, Metals Freight Operations, and Computer Parts Inventory = 243
Part 5 Bargaining Strategy for Interactive Participants = 259
 Chapter 17. MinMax Mixed Strategy in Zero - Sum Games = 261
 Chapter 18. CONCOLs (Concomitant Coalitions) in Missions and Markets = 273
Part 6 Learning Strategy for Interactive Variables = 289
 Chapter 19. Dynamic Programming Concepts and Computations : LARRI COREIJ Algorithm = 291
Further Reading : Mathematical Programming, Simulation, Game Theory, Dynamic Programming, Production, Inventory, and Queuing = 311
Answers : Development and Discussion of Process and Products = 321
Bibliography = 379
Appendix. Random Number Table = 385
Index = 387