Solving unequal-area static and dynamic facility layout problems using modified particle swarm optimization

Ali Derakhshan Asl () and Kuan Yew Wong
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Ali Derakhshan Asl: Universiti Teknologi Malaysia
Kuan Yew Wong: Universiti Teknologi Malaysia

Journal of Intelligent Manufacturing, 2017, vol. 28, issue 6, No 6, 1317-1336

Abstract: Abstract Facility layout problems deal with layout of facilities or departments in a shop floor. This article studies unequal-area static facility layout problems in order to minimize the sum of the material handling costs and unequal-area dynamic facility layout problems so as to minimize the sum of the material handling costs and rearrangement costs. Unequal-area static and dynamic facility layout problems are NP-hard. Therefore, a modified particle swarm optimization was suggested to solve them where the departments have fixed shapes and areas throughout the time horizon. The modified particle swarm optimization was tested using the available problem instances chosen from the literature. The proposed algorithm applied two local search methods and the department swapping method to improve the quality of solutions and to prevent local optima for dynamic and static problems. It also utilized the period swapping method to improve the solutions for dynamic problems. The results showed that the proposed algorithm has created encouraging layouts in comparison with other approaches.

Keywords: Unequal-area facility layout problems; Static facility layout problems; Dynamic facility layout problems; Particle swarm optimization (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10845-015-1053-5

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