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.

Covers the standard operations research techniques Focuses on modeling and makes extensive use of sensitivity analyses Includes numerous examples for practice and self-study

Autorentext

H. A. Eiselt is a Professor in the Faculty of, University of New Brunswick, Canada. He joined the then Faculty of Business Administration in 1986 and is a member of the Quantitative Methods Area. He teaches Quantitative Analysis and Location Theory in the BBA program. Dr. Eiselt received the UNB Merit Award in 1991. He received the Faculty of Business Administration's Excellence in Research Award in 1998, 2003 and 2014 for outstanding performance across his career. He is Associate Editor of INFOR. He is also a member of the Advisory or Editorial Boards of Computers & Operations Research, International Journal of Operations, Quantitative Management. He has (co-)authored 121 scientific papers and has authored or edited 14 books, 11 with Springer. Vladimir Marianov is an Emeritus Professor of Electrical Engineering at the Pontificia Universidad Católica de Chile in Santiago, Chile, where he teaches and performs research on Facility Location and Network Design. He has publishedover 90 refereed papers in international journals and presented a large number of papers at conferences and lectures, which has earned him international recognition. His research interests include the design and optimization of communication networks. He earned a degree in Telecommunications Engineering at the Universidad de Chile and his Master of Engineering and Doctor of Philosophy at the Johns Hopkins University, Baltimore, MD, USA. Joyendu "Joy" Bhadury is Professor and Dean at the Davis College of Business and Economics at Radford University, Virginia, USA. Prior to his current appointment, he was Professor and Dean at the School of Business and Management at SUNY-Brockport and Associate Dean of Research and Graduate Programs for the Bryan School of Business and Economics at The University of North Carolina at Greensboro. After completing his PhD in Management Science from the University of Texas at Dallas in 1991, he has also worked at the following institutions: University of New Brunswick, Canada, SUNY-Buffalo and California State University - East Bay. His professional specialization is in Management Science and Operations, Logistics and Supply Chain Management and his work has been published in numerous national and international academic journals and supported by funding from various agencies in USA and Canada.

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.