Introduction to Management Science

Benefits

• The Problem-Scenario Approach: A hallmark feature of this text, the Problem-Scenario Approach motivates and helps students understand and apply mathematical concepts and techniques. The authors describe a problem in conjunction with the management science technique being introduced. Students must apply the technique to the problem to generate a solution or recommendation.
• NEW! New CD-ROM: Each new edition now contains a CD-ROM that provides: The Management Scientist 5.0 software and manual written by Anderson, Sweeney and Williams; Microsoft® Excel solutions for most text examples, and templates for inventory and waiting line models; a trial version of Crystal Ball Pro; and an educational version of Premium Solver add-in.
• NEW! Revenue Management Systems: Management science has an important role in the development of revenue management systems. One example is illustrated in Chapter 4, where linear programming is used to determine the optimal allocation of discount and full-fare seats on airline flights. Another example is provided in chapter 11, where a new subsection on Inventory models shows how to determine the number of cars to make available at a car rental location.
• NEW! Conjoint Analysis: The use of conjoint analysis in the marketing field is illustrated in Chapter 8. A new subsection describes of how conjoint analysis can be used in an integer programming model to choose the product design that will maximize market share.
• NEW! Chapter Revisions: The section on maximal flow algorithm in Chapter 9 has been thoroughly revised, and now shows how the maximal flow problem can be formulated and solved using the trans-shipment model introduced in Chapter 7.
• Management Science in Action: These vignettes highlight real-life situations that demonstrate the role of management science within a real company; and, how the techniques are successfully applied in the real business world. Nine new vignettes are presented.
• "Notes and Comments": These provide extra tips about the material being covered, including warnings and limitations, recommended applications, and other technical considerations.
• Excel Spreadsheet Appendixes: Spreadsheet appendixes that show how Excel can be used to implement some of the methods explained in the text have been updated.
• New Problems and Case Problems: Over 25 new problems have been added. Four new case problems in the chapters on linear programming, simulation and decision analysis have been added.

• Chapter 1. Introduction.
• Chapter 2. An Introduction To Linear Programming.
• Chapter 3. Linear Programming: Sensitivity Analysis and Interpretation of Solution.
• Chapter 4. Linear Programming Applications.
• Chapter 5. Linear Programming: The Simplex Method.
• Chapter 6. Simplex-Based Sensitivity Analysis and Duality.
• Chapter 7. Transportation, Assignment, and Transhipment Problems.
• Chapter 8. Integer Linear Programming.
• Chapter 9. Network Models.
• Chapter 10. Project Scheduling: PERT/CPM.
• Chapter 11. Inventory Models.
• Chapter 12. Waiting Line Models.
• Chapter 13. Simulation.
• Chapter 14. Decision Analysis.
• Chapter 15. Multicriteria Decision Problems.
• Chapter 16. Forecasting.
• Chapter 17. Markov Processes.
• Chapter 18. Dynamic Programming.
• Appendix A. Areas For The Standard Normal Distribution.
• Appendix B. Values Of E-l.
• Appendix C. References And Bibliography.
• Appendix D. Answers To Even-Numbered Problems.
• Appendix E. Solutions To Self-Test Problems.