Factory layout optimization based on Systematic Layout Planning and genetic algorithm

Lingfei Zhu; Rui Wang; Zhengtian Zhao

doi:10.1117/12.2636407

6 May 2022 Factory layout optimization based on Systematic Layout Planning and genetic algorithm

Lingfei Zhu, Rui Wang, Zhengtian Zhao

Proceedings Volume 12176, International Conference on Algorithms, Microchips and Network Applications; 121760I (2022) https://doi.org/10.1117/12.2636407
Event: International Conference on Algorithms, Microchips, and Network Applications 2022, 2022, Zhuhai, China

Abstract

Since the equipment in the factory is hard to move and the layout is difficult to change, rational planning of the factory becomes the goal of the enterprise, so a factory layout planning method based on Systematic Layout Planning (SLP) and genetic algorithm is proposed. Combined with SLP qualitative and quantitative analysis methods, this paper considers the relationship between all work units in the factory, establishes plant planning constraints, and considers multiple objectives for processing costs, non-logistic relations and regional utilization. SLP scheme is used as the initial solution, and a genetic algorithm is used to solve a better planning scheme for the factory. Taking an engine manufacturing plant as an example, the method is applied to design a layout scheme for the factory. Compared with the method obtained by SLP, the result shows that the planning method is more feasible and can provide a new method for factory planning and design.

Citation Download Citation

Lingfei Zhu, Rui Wang, and Zhengtian Zhao "Factory layout optimization based on Systematic Layout Planning and genetic algorithm", Proc. SPIE 12176, International Conference on Algorithms, Microchips and Network Applications, 121760I (6 May 2022); https://doi.org/10.1117/12.2636407

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