Title: A genetic algorithm to solve process layout problem

Authors: Kaveh Khalili-Damghani; S.M. Ali Khatami-Firouzabadi; Mohammad Diba

Addresses: Department of Industrial Engineering, Islamic Azad University, South-Tehran Branch, Imam Hossein SQ., Mazandaran St., Entezari Ave., 11365-4435, Tehran, Iran ' Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba'i University, Nezami St., Haf-Peikar St., Tehran, Iran ' Department of Industrial Engineering, Islamic Azad University, Science and Research Branch, Hormozgan, 7955158455, Iran

Abstract: A model based on a quadratic assignment problem (QAP) is proposed to design a process layout. The objective function of proposed model has three main parts, as: a) maximising the profit of each product; b) minimising stored keeping materials; c) minimising total layout cost. The demand requirement and production capacity are also considered as set of constraints. Eventually, as the global optimum solution is hard to find for the proposed model, a genetic algorithm (GA) is proposed to solve the model. The performance of proposed GA was compared with other well-known algorithms, i.e., simulated annealing (SA) algorithm and tabu search (TS) on several benchmark instances of QAP as well as a series of simulated random large scale instances. The comparison reveals the promising results of GA over SA, and TS.

Keywords: process layout design; quadratic assignment problem; QAP; genetic algorithms; simulated annealing; tabu search.

DOI: 10.1504/IJMDM.2014.058472

International Journal of Management and Decision Making, 2014 Vol.13 No.1, pp.42 - 61

Received: 03 Sep 2013
Accepted: 28 Sep 2013
Published online: 30 May 2014 *

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