Title: A multi-objective model to allocate multiple facilities at proposed locations in the multi-floor organisation, using an improved genetic algorithm. Case study: Isfahan Governorate

Authors: Mehdi Safaei; Meisam Nasrollahi

Addresses: Department of Industrial Engineering, Faculty of Engineering and Architecture (FEA), Istanbul Gelisim University, 34215, Avcilar, Istanbul, Turkey ' Department of Industrial Engineering, University of Tehran, Iran

Abstract: The impressive role in the proper design of facility layout on productivity cannot be simply overlooked. So far, many models of the genetic algorithm have been introduced to solve such problems. The common approach of all these methods is to eliminate unacceptable answers. But given that unacceptable responses also have positive characteristics that can have a positive effect on next-generation fitness, this positive character can be exploited. In the multi-objective and multi-scale model presented, graded punishment is intended for such solutions, but will benefit from their positive features. Finally, the effectiveness of this method was evaluated by studying a case study. The results confirm the model's ability to improve the existing conditions. The main application of this model, in multi-layered organizations, is the allocation of several facilities to one location, depending on its capacity. It is also used to design workshop facility layouts.

Keywords: genetic algorithm; basic layout model; fitness function; objective function; mutation; crossover.

DOI: 10.1504/IJMOR.2021.112269

International Journal of Mathematics in Operational Research, 2021 Vol.18 No.1, pp.126 - 144

Received: 01 Sep 2019
Accepted: 17 Sep 2019
Published online: 06 Jan 2021 *

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