Most manufacturing systems are large, complex, and operate in an environment of uncertainty. It is common practice to manage such systems in a hierarchical fashion. This book articulates a new theory that shows that hierarchical decision making can in fact lead to a near optimization of system goals. The material in the book cuts across disciplines. It will appeal to graduate students and researchers in applied mathematics, operations management, operations research, and system and control theory.
| ISBN: | 9780387219479 |
| Publication date: | 29th March 2005 |
| Author: | Suresh P Sethi, Qing Zhang, Hanqin Zhang |
| Publisher: | Springer an imprint of Springer New York |
| Format: | Hardback |
| Pagination: | 324 pages |
| Series: | Stochastic Modelling and Applied Probability |
| Genres: |
Management of specific areas Cybernetics and systems theory Management decision making Stochastics Business strategy Operational research Probability and statistics Applied mathematics |