Introduction to Operations Research

Offers comprehensive coverage of fundamentals, an extensive set of interesting problems and cases, and practice operations research software used in conjunction with examples from the text.

Autorentext

Professor emeritus of operations research at Stanford University. Dr. Hillier is especially known for his classic, award-winning text, Introduction to Operations Research, co-authored with the late Gerald J. Lieberman, which has been translated into well over a dozen languages and is currently in its 8th edition. The 6th edition won honorable mention for the 1995 Lanchester Prize (best English-language publication of any kind in the field) and Dr. Hillier also was awarded the 2004 INFORMS Expository Writing Award for the 8th edition. His other books include The Evaluation of Risky Interrelated Investments, Queueing Tables and Graphs, Introduction to Stochastic Models in Operations Research, and Introduction to Mathematical Programming. He received his BS in industrial engineering and doctorate specializing in operations research and management science from Stanford University. The winner of many awards in high school and college for writing, mathematics, debate, and music, he ranked first in his undergraduate engineering class and was awarded three national fellowships (National Science Foundation, Tau Beta Pi, and Danforth) for graduate study. Dr. Hilliers research has extended into a variety of areas, including integer programming, queueing theory and its application, statistical quality control, and production and operations management. He also has won a major prize for research in capital budgeting.

Klappentext

For over four decades, Introduction to Operations Research has been the classic text on operations research. While building on the classic strengths of the text, the author continues to find new ways to make the text current and relevant to students. One way is by incorporating a wealth of state-of-the-art, user-friendly software and more coverage of business applications than ever before. The hallmark features of this edition include new sections and chapters, updated problems, clear and comprehensive coverage of fundamentals, an extensive set of interesting problems and cases, and state-of-the-practice operations research software used in conjunction with examples from the text.

McGraw-Hill Education's Connect, is also available as an optional, add on item. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, how they need it, so that class time is more effective. Connect allows the professor to assign homework, quizzes, and tests easily and automatically grades and records the scores of the student's work. Problems are randomized to prevent sharing of answers an may also have a "multi-step solution" which helps move the students' learning along if they experience difficulty.

Inhalt

1) Introduction

2) Overview of the Operations Research Modeling Approach

3) Introduction to Linear Programming

4) Solving Linear Programming Problems: The Simplex Method

5) The Theory of the Simplex Method

6) Duality Theory

7) Linear Programming under Uncertainty

8) Other Algorithms for Linear Programming

9) The Transportation and Assignment Problems

10) Network Optimization Models

11) Dynamic Programming

12) Integer Programming

13) Nonlinear Programming

14) Metaheuristics

15) Game Theory

16) Decision Analysis

17) Queueing Theory

18) Inventory Theory

19) Markov Decision Processes

20) Simulation

Appendix 1 - Documentation for the OR Courseware

Appendix 2 - Convexity

Appendix 3 - Classical Optimization Methods

Appendix 4 - Matrices and Matrix Operations

Appendix 5 - Table for a Normal Distribution