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The third edition of this highly-regarded text has been fully updated whilst maintaining the accessible and comprehensive style that makes this text so popular.

Packed with diverse realistic examples from Scotland to Saudi Arabia, this truly internationalized version of the landmark text from the Anderson, Sweeney and Williams team provides a complete introduction to the subjects of Management Science and Operations Research.

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1.Introduction2.An Introduction to Linear Programming
3.Linear Programming: Sensitivity Analysis and Interpretation of Solution
4.Linear Programming Applications
5.Linear Programming: The Simplex Method
6.Simplex-Based Sensitivity Analysis and Duality
7.Transportation, Assignment and Transshipment Problems
8.Network Models
9.Project Scheduling: PERT/CPM
10.Inventory Models
11.Queuing Models
12.Simulation
13.Decision Analysis
14.Multicriteria Decisions
Conclusion: Management Science in Practice
Appendix A Areas for the Standard Normal Distribution
Appendix B Values of e_l
Appendix C Bibliography and References
Appendix D Self-Test Solutions
Online chapters
15.Integer Linear Programming
16.Forecasting
17.Dynamic Programming
18.Markov Processes

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Anderson, David
David R. Anderson is Professor of Quantitative Analysis in the College of Business Administration at the University of Cincinnati. Born in Grand Forks, North Dakota, he earned his BS, MS and PhD degrees from Purdue University. Professor Anderson has served as Head of the Department of Quantitative Analysis and Operations Management and as Associate Dean of the College of Business Administration. In addition, he was the coordinator of the college´s first executive programme.

Sweeney, Dennis
Dennis J. Sweeney is Professor of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati. He has published more than 30 articles in the area of management science and statistics. The National Science Foundation, IBM, Procter & Gamble, Federated Department Stores, Kroger and Cincinnati Gas & Electric have funded his research, which has been published in Management Science, Operations Research, Mathematical Programming, Decision Sciences and other journals. Professor Sweeney has co-authored ten textbooks in the areas of statistics, management science, linear programming and production and operations management.

Williams, Thomas
Thomas A. Williams is Professor of Management Science in the College of Business at Rochester Institute of Technology (RIT). Professor Williams is the co-author of 11 textbooks in the areas of management science, statistics, production and operations management and mathematics. He has been a consultant for numerous Fortune 500 companies in areas ranging from the use of elementary data analysis to the development of large-scale regression models.

Wisniewski, Mik
Mik Wisniewski is Senior Research Fellow in the Management Science department at Strathclyde Business School, Glasgow, Scotland. He is author of over a dozen texts on management science, quantitative business analysis and optimisation, including the established Quantitative Methods for Decision Makers (Pearson), and has many published articles in these areas.
Mik also runs his own consulting company and clients including Shell, KPMG, PriceWaterhouseCoopers, numerous government agencies both in the UK and overseas, and a range of public sector organisations. He as worked extensively across Europe, the Middle East, Africa and Asia.

Pierron, Xavier
Xavier Pierron is a Senior Lecturer in Business Operations and Coventry University, UK. He has wide experience in both industry and academia and has taken part in European projects, consultancy projects and training of professionals. His research interests include merging operations management techniques with business sustainability issues.

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