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Efficient Methods for Manufacturing System Analysis and Design

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dc.contributor.author Gershwin, Stanley B.
dc.contributor.author Maggio, Nicola
dc.contributor.author Matta, Andrea
dc.contributor.author Tolio, Tullio
dc.contributor.author Werner, Loren M.
dc.date.accessioned 2003-12-23T15:08:49Z
dc.date.available 2003-12-23T15:08:49Z
dc.date.issued 2002-01
dc.identifier.uri http://hdl.handle.net/1721.1/4028
dc.description.abstract The goal of the research described here is to develop tools to assist the rapid analysis and design of manufacturing systems. The methods we describe are based on mathematical models of production systems. We combine earlier work on the decomposition method for factory performance prediction and design with the hedging point method for scheduling. We propose an approach that treats design and operation in a unified manner. The models we study take many of the most important features and phenomena in factories into account, including random failures and repairs of machines, finite buffers, random demand, production lines, assembly and disassembly, imperfect yield, and token-based control policies. en
dc.description.sponsorship Singapore-MIT Alliance (SMA) en
dc.format.extent 238840 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.relation.ispartofseries Innovation in Manufacturing Systems and Technology (IMST);
dc.subject manufacturing systems en
dc.subject performance analysis en
dc.subject system design en
dc.subject decomposition en
dc.subject optimization en
dc.title Efficient Methods for Manufacturing System Analysis and Design en
dc.type Article en


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