Introduction to Management Science with Spreadsheets and Student CD

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.

Introduction to Management Science with SpreadsheetsPart 1 Introduction and Forecasting1-Introduction to Management Science, Modeling, and Excel Spreadsheets 2- Forecasting Part 2 Deterministic Decision Models3-Linear Programming: Basic Concepts and Graphical Solutions 4-Linear Programming: Applications and Solutions 5- Linear Programming: Sensitivity Analysis, Duality, and Specialized Models. 6- Transportation, Assignment, and Transshipment Problems 7- Integer Programming 8- Network Optimization Models 9- Nonlinear Optimization Models 10- Multi-Criteria Models Part 3 Probabilistic Decision Models 11- Decision Theory 12- Markov Analysis 13- Waiting Line Models 14- Simulation CDRom Modules Chapter 4S Simplex Algorithm Chapter 6S Transportation and Assignment Solution Procedures Chapter 7S Branch and Bound Method for Integer Programming Problems Chapter 9S Mini –Review: Differential Arithmetic