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David R. Anderson,
Dennis J. Sweeney,
Thomas A. Williams,
Jeffrey D. Camm,
James J. Cochran,
Michael J. Fry, Jeffrey
W. Ohlmann
Brief Contents
Chapter 1 Introduction 1
Chapter 2 Introduction to Probability 24
Chapter 3 Probability Distributions 61
Chapter 4 Decision Analysis 103
Chapter 5 Utility and Game Theory 164
Chapter 6 Time Series Analysis and Forecasting 195
Chapter 7 Introduction to Linear Programming 249
Chapter 8 Linear Programming: Sensitivity Analysis and Interpretation of Solution 308
Chapter 9 Linear Programming Applications in Marketing,
Finance, and Operations Management 362
Chapter 10 Distribution and Network Models 424
Chapter 11 Integer Linear Programming 487
Chapter 12 Advanced Optimization Applications 537
Chapter 13 Project Scheduling: PERT/CPM 592
Chapter 14 Inventory Models 631
Chapter 15 Waiting Line Models 680
Chapter 16 Simulation 719
Chapter 17 Markov Processes 770
Appendix A Building Spreadsheet Models 796
Appendix B Binomial Probabilities 828
Appendix C Poisson Probabilities 835
Appendix D Areas for the Standard Normal Distribution 841
Appendix E Values of e2λ 843
Appendix F References and Bibliography 844
Appendix G Self-Test Solutions and Answers to Even-Numbered Problems 846
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