David R. Anderson is Professor of Quantitative Analysis in the College of Business Administration at the University of Cincinnati.
Preface
xiv
Chapter 1 Introduction
1
(29)
Chapter 2 An Introduction to Linear Programming
30
(58)
Chapter 3 Linear Programming: Sensitivity Analysis and Interpretation of Solution
88
(58)
Chapter 4 Linear Programming Applications
146
(71)
Chapter 5 Linear Programming: The Simplex Method
217
(46)
Chapter 6 Simplex-Based Sensitivity Analysis and Duality
263
(30)
Chapter 7 Transportation, Assignment, and Transshipment Problems
293
(73)
Chapter 8 Integer Linear Programming
366
(42)
Chapter 9 Network Models
408
(32)
Chapter 10 Project Scheduling: PERT/CPM
440
(40)
Chapter 11 Inventory Models
480
(62)
Chapter 12 Waiting Line Models
542
(45)
Chapter 13 Simulation
587
(56)
Chapter 14 Decision Analysis
643
(53)
Chapter 15 Muliticriteria Decision Problems
696
(44)
Chapter 16 Forecasting
740
(54)
Chapter 17 Markov Processes
794
(26)
Chapter 18 Dynamic Programming
820
Appendix A The Management Scientist Software
A-2
(3)
Appendix B Areas for the Standard Normal Distribution
A-5
(1)
Appendix C Values of e^(-Lambda)
A-6
(1)
Appendix D References and Bibliography
A-7
(2)
Appendix E Answers to Even-Numbered Problems
A-9
(12)
Appendix F Solutions to Self-Test Problems
A-21
(23)
Appendix G Linear Solving Problems with LINDO^(R)
A-44
Index
I1
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