Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/4028
Title: Efficient Methods for Manufacturing System Analysis and Design
Keywords: manufacturing systems
performance analysis
system design
decomposition
optimization
Issue Date: 9-Oct-2013
Description: 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.
Singapore-MIT Alliance (SMA)
URI: http://koha.mediu.edu.my:8181/xmlui/handle/1721
Other Identifiers: http://hdl.handle.net/1721.1/4028
Appears in Collections:MIT Items

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