Optimization of Multi-Objective Unequal Area Facility Layout
The unequal area facility layout problem (UA-FLP) refers to the reasonable arrangement of a certain number of facilities in a given layout area. The facility layout should satisfy given layout constraints and optimize given optimization objectives as far as possible. In this paper, a method combinin...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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IEEE
2022-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/9745174/ |
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author | Hongtao Tang Senli Ren Weiguang Jiang Qingfeng Chen |
author_facet | Hongtao Tang Senli Ren Weiguang Jiang Qingfeng Chen |
author_sort | Hongtao Tang |
collection | DOAJ |
description | The unequal area facility layout problem (UA-FLP) refers to the reasonable arrangement of a certain number of facilities in a given layout area. The facility layout should satisfy given layout constraints and optimize given optimization objectives as far as possible. In this paper, a method combining improved lowest horizontal line method and particle swarm optimization algorithm is proposed to solve UA-FLP, which achieves multi-objective optimization of material handling cost, the adjacent value and the utilization rate of floor shop. On the one hand, the algorithm formulates facility packing rules through the improved lowest horizontal line method, which simplifies the legalization of facility layout. On the other hand, a modified particle swarm optimization (PSO) algorithm combining objective space division method (OSD) and niche technology is used for multi-objective optimization. The proposed algorithm overcomes the shortcomings of previous facility layout methods such as complex overlapping interference process, large amount of calculation and long time for multi-objective optimization. Compared with the comparison methods, the results show that material handling cost is reduced by 1%–6% and the utilization ratio of floor shop is increased by 2%–7%. |
first_indexed | 2024-12-10T11:12:11Z |
format | Article |
id | doaj.art-74ec0b36f7c6446d88203be02f13af36 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-10T11:12:11Z |
publishDate | 2022-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-74ec0b36f7c6446d88203be02f13af362022-12-22T01:51:23ZengIEEEIEEE Access2169-35362022-01-0110388703888410.1109/ACCESS.2022.31632879745174Optimization of Multi-Objective Unequal Area Facility LayoutHongtao Tang0https://orcid.org/0000-0001-8005-6458Senli Ren1Weiguang Jiang2https://orcid.org/0000-0003-4509-4410Qingfeng Chen3College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, ChinaCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, ChinaCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, ChinaCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, ChinaThe unequal area facility layout problem (UA-FLP) refers to the reasonable arrangement of a certain number of facilities in a given layout area. The facility layout should satisfy given layout constraints and optimize given optimization objectives as far as possible. In this paper, a method combining improved lowest horizontal line method and particle swarm optimization algorithm is proposed to solve UA-FLP, which achieves multi-objective optimization of material handling cost, the adjacent value and the utilization rate of floor shop. On the one hand, the algorithm formulates facility packing rules through the improved lowest horizontal line method, which simplifies the legalization of facility layout. On the other hand, a modified particle swarm optimization (PSO) algorithm combining objective space division method (OSD) and niche technology is used for multi-objective optimization. The proposed algorithm overcomes the shortcomings of previous facility layout methods such as complex overlapping interference process, large amount of calculation and long time for multi-objective optimization. Compared with the comparison methods, the results show that material handling cost is reduced by 1%–6% and the utilization ratio of floor shop is increased by 2%–7%.https://ieeexplore.ieee.org/document/9745174/Facility layoutlowest horizontal lineparticle swarm optimization algorithmniche technology |
spellingShingle | Hongtao Tang Senli Ren Weiguang Jiang Qingfeng Chen Optimization of Multi-Objective Unequal Area Facility Layout IEEE Access Facility layout lowest horizontal line particle swarm optimization algorithm niche technology |
title | Optimization of Multi-Objective Unequal Area Facility Layout |
title_full | Optimization of Multi-Objective Unequal Area Facility Layout |
title_fullStr | Optimization of Multi-Objective Unequal Area Facility Layout |
title_full_unstemmed | Optimization of Multi-Objective Unequal Area Facility Layout |
title_short | Optimization of Multi-Objective Unequal Area Facility Layout |
title_sort | optimization of multi objective unequal area facility layout |
topic | Facility layout lowest horizontal line particle swarm optimization algorithm niche technology |
url | https://ieeexplore.ieee.org/document/9745174/ |
work_keys_str_mv | AT hongtaotang optimizationofmultiobjectiveunequalareafacilitylayout AT senliren optimizationofmultiobjectiveunequalareafacilitylayout AT weiguangjiang optimizationofmultiobjectiveunequalareafacilitylayout AT qingfengchen optimizationofmultiobjectiveunequalareafacilitylayout |