An Introduction to Management Science: Quantitative Approaches to Decision Making

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9780324649949: An Introduction to Management Science: Quantitative Approaches to Decision Making

Learn today's management science concepts and techniques - and how they will benefit you in the classroom and business world beyond - with the definitive leader in management science, "Introduction To Management Science: A Quantitative Approach To Decision Making, 12e". The latest edition of this leading text blends a readable style with a wealth of examples that demonstrate how businesses throughout the world use management science techniques to further their success.Proven, realistic problems help strengthen critical problem-solving skills, while numerous self-test exercises with complete solutions allow you to immediately check your personal understanding of the material. Every new edition now includes the highly respected LINGO 10 software that is integrated with text problems to help you develop the skills to use this, Excel, and many other valuable software packages to resolve management science problems. This edition now places greater emphasis on the applications of management science and use of computer software with less focus on algorithms.Much of the algorithm coverage as well as Excel templates and add-in software, and the user-friendly Management Scientist software are available on the text's accompanying Student CD. Trust "Introduction to Management Science, 12E" to introduce the management science skills you need now and into the future with clarity you can understand and practicality you can immediately apply.

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Review:

"Based on my teaching experience, this textbook is excellent. The authors have done a marvellous job addressing all key topics in a very clear and coherent manner. The internationally diverse examples are a welcome addition, making it more friendly for my students; they no longer have to think about Management Science from a purely US perspective."

About the Author:

ADAPTING AUTHOR BIOGRAPHY:
Mik Wisniewski is Senior Research Fellow in the Management Science Department at Strathclyde Business School, Glasgow, Scotland. He is the 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 include Shell, KPMG, PriceWaterhouseCoopers, numerous government agencies both in the UK and overseas, and a range of public sector organisations. He has worked extensively across
Europe, the Middle East, Africa and Asia.

David R. Anderson is Professor of Quantitative Analysis in the College of Business Administration at the University of Cincinnati.

Dennis J. Sweeney is Professor of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati.

Thomas A. Williams is Professor of Management Science in the College of Business at Rochester Institute of Technology (RIT).

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