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

Authors: Hamed Sharifi; Mohammad Nagahisarchoghaei; Morteza Nagahi; Raed Jaradat; Iraj Mahdavi; Javad Rezaeian; Mohammad Mahdi Paydar

Addresses: Mazandaran University of Science and Technology, Babol, Iran ' Department of Computer Science, University of North Carolina at Charlotte, North Carolina, USA ' Department of Industrial and Systems Engineering, Mississippi State University, P.O. Box 9542, Mississippi State, USA ' Department of Industrial and Systems Engineering, Mississippi State University, P.O. Box 9542, Mississippi State, USA ' Department of Industrial Engineering and Management, Mazandaran University of Science and Technology, Babol, Iran ' Department of Industrial Engineering and Management, Mazandaran University of Science and Technology, Babol, Iran ' Department of Materials and Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran

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]

Keywords: cellular manufacturing; cell formation; linear double-row layout; group scheduling; genetic algorithm.

DOI: 10.1504/IJMR.2022.127088

International Journal of Manufacturing Research, 2022 Vol.17 No.4, pp.341 - 363

Received: 30 Dec 2019
Accepted: 28 Jul 2020

Published online: 22 Nov 2022 *

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