Decomposition Methods for Complex Factory Scheduling Problems - Tapa dura

Ovacik, Irfan M.; Uzsoy, Reha

 
9780792398356: Decomposition Methods for Complex Factory Scheduling Problems
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ISBN 10: 0792398351 ISBN 13: 9780792398356
Editorial: Springer, 1996

Sinopsis

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.

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Reseña del editor

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.

Reseña del editor

This book outlines the results of a systematic, long-term research effort aimed at developing effective scheduling algorithms for complex manufacturing facilities. The book focuses on a specific industrial context, that of semiconductor manufacturing. The authors combine knowledge of the specific physical production system with the methods and results of previous scheduling research to develop effective, approximate solution procedures for scheduling problems. The decomposition methods developed in this book constitute a broad family of heuristic approaches to large, NP-hard scheduling problems which can be applied to other manufacturing environments in addition to semiconductor production manufacturing facilities. The results reported in this book indicate that properly designed decomposition methods can obtain significantly better schedules than the dispatching rules that currently form the core of industrial scheduling practice.

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Editorial
Springer
Año de publicación
1996
Idioma
Inglés
ISBN 10 
0792398351
ISBN 13 
9780792398356
Encuadernación
Tapa dura
Número de páginas
236
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9781461379065: Decomposition Methods for Complex Factory Scheduling Problems

Edición Destacada

ISBN 10:  1461379067 ISBN 13:  9781461379065
Editorial: Springer, 2012
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