TY - BOOK ID - 57318 TI - Decomposition methods for complex factory scheduling problems AU - Ovacik, Irfan M. AU - Uzsoy, Reha PY - 1997 SN - 0792398351 1461379067 1461563291 9780792398356 PB - Dordrecht Kluwer DB - UniCat KW - Production management KW - Operational research. Game theory KW - Decomposition method. KW - 658.513 KW - Decomposition method KW - Production scheduling KW - Job scheduling (Production control) KW - Job-shop scheduling KW - Project scheduling (Production control) KW - Scheduling (Management) KW - Production control KW - Scheduling KW - Method, Decomposition KW - Operations research KW - Programming (Mathematics) KW - System analysis KW - Supervision of production work. Follow-up, progressing, expediting. Scheduling KW - 658.513 Supervision of production work. Follow-up, progressing, expediting. Scheduling KW - Production management. KW - Operations research. KW - Decision making. KW - Mathematical models. KW - Operations Management. KW - Operations Research/Decision Theory. KW - Mathematical Modeling and Industrial Mathematics. KW - Models, Mathematical KW - Simulation methods KW - Deciding KW - Decision (Psychology) KW - Decision analysis KW - Decision processes KW - Making decisions KW - Management KW - Management decisions KW - Choice (Psychology) KW - Problem solving KW - Operational analysis KW - Operational research KW - Industrial engineering KW - Management science KW - Research KW - System theory KW - Manufacturing management KW - Industrial management KW - Decision making KW - Production scheduling. UR - https://www.unicat.be/uniCat?func=search&query=sysid:57318 AB - The factory scheduling problem, that of allocating machines to competing jobs in manufacturing facilities to optimize or at least improve system performance, is encountered in many different manufacturing environments. Given the competitive pressures faced by many companies in today's rapidly changing global markets, improved factory scheduling should contribute to a flrm's success. However, even though an extensive body of research on scheduling models has been in existence for at least the last three decades, most of the techniques currently in use in industry are relatively simplistic, and have not made use of this body of knowledge. In this book we describe a systematic, long-term research effort aimed at developing effective scheduling algorithms for complex manufacturing facilities. We focus on a speciflc industrial context, that of semiconductor manufacturing, and try to combine knowledge of the physical production system with the methods and results of scheduling research to develop effective approximate solution procedures for these problems. The class of methods we suggest, decomposition methods, constitute a broad family of heuristic approaches to large, NP-hard scheduling problems which can be applied in other environments in addition to those studied in this book. ER -