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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.
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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