An Introduction to Management Science,
3rd Edition

David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Mik Wisniewski, Xavier Pierron

ISBN-13: 9781473729322
Copyright 2017 | Published
672 pages | List Price: USD $77.50

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1. Introduction
2. 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

  • David R. Anderson

    David R. Anderson is Professor Emeritus 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. At the University of Cincinnati, Dr Anderson has taught graduate-level courses in regression analysis, multivariate analysis and management science. He also has taught statistical courses at the Department of Labor in Washington, DC. Professor Anderson has been honoured with nominations and awards for excellence in teaching and excellence in service to student organizations. He has co-authored ten textbooks in the areas of statistics, management science, linear programming, and production and operations management. He is an active consultant in the field of sampling and statistical methods

  • Dennis J. Sweeney

    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.

  • Thomas A. Williams

    Thomas A. Williams is Professor Emeritus of Management Science in the College of Business at Rochester Institute of Technology (RIT). Born in Elmira, New York, he earned his BS degree at Clarkson University. He did his graduate work at Rensselaer Polytechnic Institute, where he received his MS and PhD degrees. Before joining the College of Business at RIT, Professor Williams served for seven years as a faculty member in the College of Business Administration at the University of Cincinnati, where he developed the first undergraduate programme in Information Systems. At RIT he was the first chair of the Decision Sciences Department. He teaches courses in management science and statistics, as well as graduate courses in regression and decision analysis. 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 and has worked on projects ranging from the use of elementary data analysis to the development of large-scale regression models.

  • Mik Wisniewski

    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.

  • Xavier Pierron

    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.

  • New Management Science in Action cases have been written giving an up to date perspective of management science in the business world.

  • Focus on Excel, with worked examples of how it can be used as an input and output device.

  • Updated digital resources including Cognero test bank questions and additional chapters only available online.

  • Worked examples lead students through complex problems step-by-step.

  • Global examples demonstrating the application of Management Science concepts in the world of business.

  • Content on the historical development of Management Science and its practical application.

  • Significantly updated case material, encapsulating a wide range of locations and situations, as well as the latest developments in the field.

Cengage provides a range of supplements that are updated in coordination with the main title selection. For more information about these supplements, contact your Learning Consultant.

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