A Genetic Algorithm for Designing an Integrated Cellular Manufacturing System Considering a Linear Double-Row Layout

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]