An optimisation approach for simulation operator allocation and job dispatching rule in a cellular manufacturing system

Saeid Jafarzadeh Ghoushchi and Ali Abbasi

International Journal of Services and Operations Management, 2021, vol. 40, issue 1, 47-67

Abstract: The purpose of this article is to present an approach based on simulation optimisation for improving the performance of cellular manufacturing systems through optimising operator allocation and job dispatching rules in each cell. In this study, we have considered stochastic parameters, machines' breakdown and multiple products in order to consider the problem as close as possible to real world situation. The presented approach is composed of Taguchi design of experiments, discrete event simulation, artificial neural networks, and data envelopment analysis. After determining the optimum scenario, it is compared to the present condition of the case and the improvements are determined. In order to evaluate the performance of the presented approach, lathing factory which uses cellular manufacturing system is considered as the case study.

Keywords: simulation optimisation; cellular manufacturing system; CMS; artificial neural network; ANN; data envelopment analysis; DEA. (search for similar items in EconPapers)
Date: 2021
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