An introduction to management science Quantitative approaches to decision making 6th ed.
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作 者：David R.Anderson, Dennis J.Sweeney, Thomas A.Williams
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ISBN：9780314793218
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简介
AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING has been a leader in the field for over 20 years. The key purpose of this book is to provide undergraduate and graduate students with a sound conceptual understanding of the role that management science plays in the decision-making process. AN INTRODUCTION TO MANAGEMENT SCIENCE is applications-oriented and continues to use the problem-scenario approach that is a hallmark of every edition of the text, in which a problem is described in conjunction with the management science model that's introduced. The model is then solved to generate a solution and recommendation to management.Kindle textbooks are functionally equivalent to the print textbook. In some cases, individual items such as ancillary images or multimedia have been removed for digital delivery due to rights restrictions.
目录
Preface
Introduction p. 1
An Introduction to Linear Programming p. 30
Linear Programming: Sensitivity Analysis and Interpretation of Solution p. 88
Linear Programming Applications p. 146
Linear Programming: The Simplex Method p. 217
Simplex-Based Sensitivity Analysis and Duality p. 263
Transportation, Assignment, and Transshipment Problems p. 293
Integer Linear Programming p. 366
Network Models p. 408
Project Scheduling: PERT/CPM p. 440
Inventory Models p. 480
Waiting Line Models p. 542
Simulation p. 587
Decision Analysis p. 643
Multicriteria Decision Problems p. 696
Forecasting p. 740
Markov Processes p. 794
Dynamic Programming p. 820
The Management Scientist Software p. A-2
Areas for the Standard Normal Distribution p. A-5
Values of e[superscript -[lambda]] p. A-6
References and Bibliography p. A-7
Answers to Even-Numbered Problems p. A-9
Solutions to Self-Test Problems p. A-21
Linear Solving Problems with LINDO p. A-44
Index p. I1
Introduction p. 1
An Introduction to Linear Programming p. 30
Linear Programming: Sensitivity Analysis and Interpretation of Solution p. 88
Linear Programming Applications p. 146
Linear Programming: The Simplex Method p. 217
Simplex-Based Sensitivity Analysis and Duality p. 263
Transportation, Assignment, and Transshipment Problems p. 293
Integer Linear Programming p. 366
Network Models p. 408
Project Scheduling: PERT/CPM p. 440
Inventory Models p. 480
Waiting Line Models p. 542
Simulation p. 587
Decision Analysis p. 643
Multicriteria Decision Problems p. 696
Forecasting p. 740
Markov Processes p. 794
Dynamic Programming p. 820
The Management Scientist Software p. A-2
Areas for the Standard Normal Distribution p. A-5
Values of e[superscript -[lambda]] p. A-6
References and Bibliography p. A-7
Answers to Even-Numbered Problems p. A-9
Solutions to Self-Test Problems p. A-21
Linear Solving Problems with LINDO p. A-44
Index p. I1
An introduction to management science Quantitative approaches to decision making 6th ed.
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