Efficient Methods for Manufacturing System Analysis and Design
Name
IMST007.pdf
Size
233.24 KB
Format
Adobe PDF
Checksum (MD5)
f8aeed98db423a29e50e9c27f0b839b8
Author(s)
Gershwin, Stanley B.
Maggio, Nicola
Matta, Andrea
Tolio, Tullio
Werner, Loren M.
Date Issued
January 2002
Series/Report no.
Innovation in Manufacturing Systems and Technology (IMST);
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.
Subjects
manufacturing systems
performance analysis
system design
decomposition
optimization
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