Decomposition Methods for Complex Factory Scheduling Problems

Name: Decomposition Methods for Complex Factory Scheduling Problems
Brand: Springer-Verlag New York Inc.
SKU: 9781461379065
Price: 100.0 EUR
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Autor: Irfan M. Ovacik, Reha Uzsoy

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer-Verlag New York Inc.

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The factory scheduling problem, that of allocating machines to competing jobs in manufacturing facil...

Informácie o knihe

Autor

Irfan M. Ovacik, Reha Uzsoy

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2012

Stránok

215

EAN

9781461379065

ISBN

1461379067

Enbook ID

06797107

Vydavateľ

Springer-Verlag New York Inc.

Hmotnosť

355

Rozmery

155 x 235 x 13

Kompletný popis

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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Decomposition Methods for Complex Factory Scheduling Problems

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