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Optimization of Multi-Objective Unequal Area Facility Layout
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AI
DOI：10.1109/ACCESS.2022.3163287.png)
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摘要
En 中文
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%.
Keyword:
Layout
Optimization
Particle swarm optimization
Conferences
Costs
Materials handling
Interference
Facility layout
lowest horizontal line
particle swarm optimization algorithm
niche technology
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
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引用论文
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