Stochastic Modelling and Applied Probability

Sethi, Suresh P.; Zhang, Han-Qin; Zhang, Qing

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.

Details

Published by: Springer

Publication Date: 2005-03-29

Format: Hardcover

ISBN-13: 9780387219479

DOI: 10.1007/0-387-27615-7

Dimensions: 235cm x155cm

Pages: 324