This is the third edition of a textbook that has been used in a number of undergraduate courses and covers the standard models and techniques used in decision-making in organizations. The main emphasis of the book is on modelling business-related scenarios and the generation of decision alternatives. Fully solved examples from many areas are used to illustrate the main concepts without getting bogged down in technical details. The book presents an approach to operations research that is heavily based on modelling and makes extensive use of sensitivity analyses. It is the result of the authors' many years of combined teaching experience.The third edition includes new topics such as nonlinear programming and reliability theory, as well as additional material on multi-attribute decision-making. Each chapter includes a number of fully solved problems that allow students to practice or self-study. Additional problems are available on the book's accompanying website.

Autorentext

Dr. H.A. Eiselt is a Professor of Business Administration at the University of New Brunswick (Canada) and an Adjunct Professor with the Department of Industrial Engineering at Dalhousie University (Canada). He is an Associate Editor and Book Review Editor of INFOR. Dr. Eiselt is also a member of the Advisory or Editorial Boards of Computers & Operations Research, and the International Journal of Operations and Quantitative Management. His main research interests are in various aspects of location analysis and decision theory. He has (co-) authored over 120 research articles and written and edited twelve books. Dr. C-L. Sandblom is an Adjunct and Emeritus Professor of Industrial Engineering at Dalhousie University (Canada). He holds a Ph.D. from the University of Birmingham (UK). Prior to joining Dalhousie, he taught at the Universities of Lund (Sweden), Birmingham (UK) and Concordia University (Canada). Dr. Sandblom has published over 50 research papers and eight books

Inhalt

1. Introduction.- 2. Linear Programming.- 3. Multiobjective Programming.- 4. Nonlinear Programming.- 5. Integer Linear Programming.- 6. Network Models.- 7. Location Models.- 8. Project Networks.- 9. Machine Scheduling.- 10. Decision Analysis.- 11. Multiattribute Decision Making.- 12. Inventory Models.- 13. Stochastic Processes and Markov Chains.- 14. Reliability Theory.- 15. Waiting Line Models.- 16. Simulation.- 17. Heuristic Methods.