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Titlebook: Flow Shop Lot Streaming; Subhash C. Sarin,Puneet Jaiprakash Book 2007 Springer-Verlag US 2007 Manufacturing.Manufacturing System.algorithm

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书目名称Flow Shop Lot Streaming
编辑Subhash C. Sarin,Puneet Jaiprakash
视频video
概述Discusses the process of "Lot Streaming" and how it can significantly improve the overall performance of a production process, and thereby, make the operation of a manufacturing system lean.Provides a
图书封面Titlebook: Flow Shop Lot Streaming;  Subhash C. Sarin,Puneet Jaiprakash Book 2007 Springer-Verlag US 2007 Manufacturing.Manufacturing System.algorithm
描述.Lot streaming is a process of breaking a batch of jobs into smaller lots, and then processing these in an overlapping fashion on the machines. This important concept can significantly improve the overall performance of a production process, and thereby make the operation of a manufacturing system lean. .Flow Shop Lot Streaming. introduces the reader to this significant production process, presents various analysis techniques, and allows the reader to quickly become conversant with the state-of-the-art techniques necessary to embark on new research directions. This text begins with an introduction to and a brief historical perspective of the lot streaming problem, and continues with generic mathematical models for this problem. .Flow Shop Lot Streaming. presents systematic analysis, algorithms, key ideas and illustrative examples using 2-machine, 3-machine, and the general m-machine flow shop lot streaming problems... ..Flow Shop Lot Streaming. will appeal to production and operations management engineers, researchers, and academics interested in implementing the latest models, analysis, and algorithms in the study of manufacturing systems..
出版日期Book 2007
关键词Manufacturing; Manufacturing System; algorithms; operations management; production; Engineering Economics
版次1
doihttps://doi.org/10.1007/978-0-387-47688-9
isbn_softcover978-1-4419-4298-2
isbn_ebook978-0-387-47688-9
copyrightSpringer-Verlag US 2007
The information of publication is updating

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