This best-selling book flawlessly blends problem formulation, managerial interpretation, and math techniques with an emphasis on problem solving. Intended for business professionals, and managers who would like to have a better conceptual understanding of the role management science in the decision-making process. Blends problem formulation, managerial interpretation, and math techniques with an emphasis on problem solving.
"synopsis" may belong to another edition of this title.
"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."
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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