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

Authors: Saeid Jafarzadeh Ghoushchi; Ali Abbasi

Addresses: Faculty of Industrial Engineering, Urmia University of Technology (UUT), Urmia West Azarbaijan, Iran ' Faculty of Industrial Engineering, Urmia University of Technology (UUT), Urmia West Azarbaijan, Iran

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.

DOI: 10.1504/IJSOM.2021.117644

International Journal of Services and Operations Management, 2021 Vol.40 No.1, pp.47 - 67

Received: 27 Jun 2018
Accepted: 05 Jul 2019

Published online: 17 Sep 2021 *

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