Multi-objective genetic algorithm to design minicells for mass customization manufacturing

F. Fazleena Badurdeen; Smitha Thuramalla; Dale T. Masel

Multi-objective genetic algorithm to design minicells for mass customization manufacturing

F. Fazleena Badurdeen, Smitha Thuramalla, Dale T. Masel

Mechanical and Aerospace Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

Mass customization involves the production of individually customized products at near mass production efficiency. The flexibility and responsiveness required in a manufacturing system for successful mass customization can be achieved by designing a modular manufacturing system. This can be done by forming minicells that are dedicated to producing families of options of the customized products. With minicells the production operations are divided into multiple stages, with one or more minicells in each stage. In this paper, a multi-objective genetic algorithm is presented to design such a minicell configuration. The application of the genetic algorithm is illustrated using an example.

Original language	English
State	Published - 2006
Event	2006 IIE Annual Conference and Exposition - Orlando, FL, United States Duration: May 20 2006 → May 24 2006

Conference

Conference	2006 IIE Annual Conference and Exposition
Country/Territory	United States
City	Orlando, FL
Period	5/20/06 → 5/24/06

Keywords

Genetic algorithms
Mass customization
Minicells

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

Cite this

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AU - Thuramalla, Smitha

AU - Masel, Dale T.

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N2 - Mass customization involves the production of individually customized products at near mass production efficiency. The flexibility and responsiveness required in a manufacturing system for successful mass customization can be achieved by designing a modular manufacturing system. This can be done by forming minicells that are dedicated to producing families of options of the customized products. With minicells the production operations are divided into multiple stages, with one or more minicells in each stage. In this paper, a multi-objective genetic algorithm is presented to design such a minicell configuration. The application of the genetic algorithm is illustrated using an example.

AB - Mass customization involves the production of individually customized products at near mass production efficiency. The flexibility and responsiveness required in a manufacturing system for successful mass customization can be achieved by designing a modular manufacturing system. This can be done by forming minicells that are dedicated to producing families of options of the customized products. With minicells the production operations are divided into multiple stages, with one or more minicells in each stage. In this paper, a multi-objective genetic algorithm is presented to design such a minicell configuration. The application of the genetic algorithm is illustrated using an example.

KW - Genetic algorithms

KW - Mass customization

KW - Minicells

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M3 - Paper

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T2 - 2006 IIE Annual Conference and Exposition

Y2 - 20 May 2006 through 24 May 2006

ER -

Multi-objective genetic algorithm to design minicells for mass customization manufacturing

Abstract

Conference

Keywords

ASJC Scopus subject areas

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