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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 789-790Genetic Modelling for Selecting Optimal Machine...

Genetic Modelling for Selecting Optimal Machine Configurations in Reconfigurable Manufacturing System

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Abstract:

Selecting the optimum machine configurations for any product flow line has direct implications on the system performance. In the present paper, an evolutionary algorithm based methodology has been proposed for optimal machine assignment based on a weighted objective function. The objective function includes reliability, cost, production time and operational capability as performance indicators. The methodology demonstrates how several performance parameters can be dealt with, in order to select optimal machine configurations for distinct stages across any serial product flow line. The proposed approach can possibly be employed in handling the RMS performance issues and optimal trade-offs among the various performance parameters.

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Manufacturing Science and Technology VI

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Periodical:

Applied Mechanics and Materials (Volumes 789-790)

Pages:

1229-1239

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.789-790.1229

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Cite this paper

Online since:

September 2015

Authors:

Faisal Hasan*, P.K. Jain

Keywords:

Evolutionary Algorithm, Optimal Configuration, RMS Performance

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* - Corresponding Author

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