A genetic algorithm for designing an integrated cellular manufacturing system considering a linear double-row layout Online publication date: Tue, 22-Nov-2022
by Hamed Sharifi; Mohammad Nagahisarchoghaei; Morteza Nagahi; Raed Jaradat; Iraj Mahdavi; Javad Rezaeian; Mohammad Mahdi Paydar
International Journal of Manufacturing Research (IJMR), Vol. 17, No. 4, 2022
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]
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