A genetic algorithm for designing an integrated cellular manufacturing system considering a linear double-row layout. (18th November 2022)

• Record Type: Journal Article
• Authors: Sharifi, Hamed; Nagahisarchoghaei, Mohammad; Nagahi, Morteza; Jaradat, Raed; Mahdavi, Iraj; Rezaeian, Javad; Paydar, Mohammad Mahdi
• Is Part Of: International journal of manufacturing research. Volume 17:Number 4(2022)
• Page Start: 341
• Page End: 363
• Publication Date: 2022-11-18
• Subjects: cellular manufacturing -- cell formation -- linear double-row layout -- group scheduling -- genetic algorithm; Manufacturing processes -- Periodicals; Manufacturing processes -- Automation -- Periodicals; Production engineering -- Periodicals; Factory management -- Periodicals; 670.5
• Languages: English
• ISSNs: 1750-0591

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]