Synopsis
The Canadian Edition of Introduction to Management Science with Spreadsheets by Stevenson/Ozgur/Nsakanda has been substantially revised, updated, and packed with new problem material. The authors have written this text for students who have limited mathematics training and only the most elementary experience with Excel. The Management Science course teaches students how to use data in problem-solving and decision making. The text focuses on incorporating Canadian and international content in examples, cases, problems, and review questions which will emphasize the relevance and importance of Management Science. The text uses a building block approach that facilitates student mastery from the simple to complex. A unique chapter on Project Scheduling has been added to the Canadian edition and students have access to Crystal Ball Software to solve the problems in the Simulation chapter.
About the Authors
Dr. Stevenson is an associate professor of Decision Sciences in the College of Business at Rochester Institute of Technology. He teaches graduate and undergraduate courses in operations management and management science.
Dr. Stevenson is the author of textbooks in management science, statistics, and operations management. His articles have appeared in Management Science, Decision Sciences, Quality Progress, and other journals.
He received a bachelor's degree in industrial engineering, an MBA, and a Ph.D. in production/operations management, from Syracuse University.
Ceyhun Ozgur, CPIM, is a professor of information and decision sciences in the College of Business Administration at Valparaiso University. He earned a BS in Industrial Management, a MS in Management from the University of Akron, and a PhD in business administration (Operations Management/Operations Research) from Kent State University. Among others, Dr. Ozgur has published in Decision Sciences Journal of Innovative Education, Interfaces, OMEGA, Quality Management Journal, Mid-American Journal of Business, Production Planning and Control, International Journal of Operations and Quantitative Management, International Journal of Quality and Reliability Management, International Journal of Business Disciplines, Industrial Mathematics and Teaching Statistics. He has written study guides, test banks and instructors' manuals for business statistics, operations management and management science textbooks. He is a member of the Decision Sciences Institute, INFORMS and APICS and serves as a member of the editorial review board for Decision Sciences Journal of Innovative Education and International Journal of Operations and Quantitative Management.
Aaron L. Nsakanda is Associate Professor of Management Science and Operations Management at the Sprott School of Business, Carleton University. He received a BS in Forest Engineering, an MBA in Operations Management, and a PhD in Management Science, all degrees from Laval University.
His research interests are in the areas of modelling and analysis of advanced manufacturing systems, operations management in the airline industry, modelling and analysis of loyalty/incentive programs, global supply chain management in the digital economy, and pricing and revenue management. Over the years, he has taught courses on topics such as business forecasting, management science, simulation, and supply chain management.
Before joining Carleton University, Dr. Nsakanda worked as a Senior Operations Research Consultant in the airline industry. He worked extensively in various projects involving the application of management science techniques to a wide range of practical problems, such as cargo operations, airport resources management, manpower planning and scheduling, and loyalty program management.
His papers have appeared in various journals, including the European Journal of Operational Research, the Journal of the Operational Research Society, and the International Journal of Production Research. Dr. Nsakanda's research has been funded by the Canadian National Science and Engineering Research Council (NSERC). He is a member of the following professional societies: the Institute for Operations Research and the Management Sciences (INFORMS) and the Canadian Operations Research Society (CORS).
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