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A dynamic non-linear mixed integer-programming model for the CMS design with production planning

Authors: Aydin Aghajani; Saeid Ahmadi Didehbani; Mohammad Kazemi; Nikbakhsh Javadian;

A dynamic non-linear mixed integer-programming model for the CMS design with production planning

Abstract

This paper presents a developed dynamic mathematical model for designing of cellular manufacturing system in such a way dynamic cell configuration, alternative process routings, lot splitting, sequence of operations, multiple units of identical machines, machine capacity, operation cost, setup cost, cell size limits, production planning, outsourcing and back-order decisions are incorporated simultaneously. According to the presence of alternative process routings concept, system decides on the best routes for processing operations of parts instead of the user specifying pre-determined. This concept also increases the number of ways to form manufacturing cells. We compare our developed model with previous models by using a reversal example. Numerical example shows effectiveness of the developed mathematical model.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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