This volume provides an applications-oriented introduction to the role of management science in decision-making. The text blends problem formulation, managerial interpretation, and math techniques with an emphasis on problem solving. In addition, a problem-scenario approach introduces quantitative procedures through situations that include both problem formulation and technique application. A notes and comments section provide warnings, limitations, recommended applications, and other tips. Extensive linear programming coverage includes problem formulation, computer solution, and practical application. The text covers transportation, assignment, and the integer programming extension of linear programming, as well as advanced topics like waiting line problems, simulation, and decision analysis. It also includes a large selection of problems includes self-test problems with complete solutions and 20 case problems.
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).