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A genetic algorithm for designing an integrated cellular manufacturing system considering a linear double-row layout

A genetic algorithm for designing an integrated cellular manufacturing system considering a... To design an integrated cellular manufacturing system, cell formation (CF), cellular layout (CL), and cellular scheduling (CS) need to be determined efficiently. In this study, we propose a theoretical model for designing a cellular manufacturing system that will optimise the total completion time by making these three interrelated decisions concurrently. In the theoretical model, linear single-row and double-row cellular layouts were applied, and a genetic algorithm (GA) to solve real-sized problems was developed and tested. The results of the study indicate that the proposed model with the linear double-row layout provides more reliable results than the single-row layout, and the GA achieves acceptable solutions in a more reasonable time period compared to the traditional solution method. [Submitted 30 December 2019; Accepted 28 July 2020] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Manufacturing Research Inderscience Publishers

A genetic algorithm for designing an integrated cellular manufacturing system considering a linear double-row layout

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1750-0591
eISSN
1750-0605
DOI
10.1504/ijmr.2022.127088
Publisher site
See Article on Publisher Site

Abstract

To design an integrated cellular manufacturing system, cell formation (CF), cellular layout (CL), and cellular scheduling (CS) need to be determined efficiently. In this study, we propose a theoretical model for designing a cellular manufacturing system that will optimise the total completion time by making these three interrelated decisions concurrently. In the theoretical model, linear single-row and double-row cellular layouts were applied, and a genetic algorithm (GA) to solve real-sized problems was developed and tested. The results of the study indicate that the proposed model with the linear double-row layout provides more reliable results than the single-row layout, and the GA achieves acceptable solutions in a more reasonable time period compared to the traditional solution method. [Submitted 30 December 2019; Accepted 28 July 2020]

Journal

International Journal of Manufacturing ResearchInderscience Publishers

Published: Jan 1, 2022

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