Minimizing Stoppage Cost of an Assembly Line Using Genetic Algorithm

Content Provider	Semantic Scholar
Author	Tavakkoli-Moghaddam, Reza Rabbani, Maham Beheshti, And M. A.
Copyright Year	2008
Abstract	This paper presents a nonlinear mixed-integer programming model to minimize the stoppage cost of mixed-model assembly lines. Nowadays, most manufacturing firms employ this type of line due to the increasing varieties of products in their attempts to quickly respond to diversified customer demands. Advancement of new technologies, competitiveness, diversification of products, and large customer demand have encouraged practitioners to use different methods of improving production lines. Minimizing line stoppage is regarded as a main factor in determining the sequence of processing products. Line stoppage results * % /0' ** % 1 2 3 4
Starting Page	35
Ending Page	50
Page Count	16
File Format	PDF HTM / HTML
Volume Number	27
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Alternate Webpage(s)	http://jame.iut.ac.ir/article-1-440-fa.pdf
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Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article