Multi-objective optimization of electronic product goods location assignment in stereoscopic warehouse based on adaptive genetic algorithm

Bo Yan (), Chang Yan, Feng Long and Xing-Chao Tan
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Bo Yan: South China University of Technology
Chang Yan: South China University of Technology
Feng Long: South China University of Technology
Xing-Chao Tan: South China University of Technology

Journal of Intelligent Manufacturing, 2018, vol. 29, issue 6, No 7, 1273-1285

Abstract: Abstract Storage is an important part of commodity circulation. A certain amount of material must be stored to meet the needs of social production and consumption within a certain time to maintain the smooth process of social reproduction. This study focuses on warehousing optimization and goods location assignment when electronic products are stored in a stereoscopic storehouse. Moreover, this study is based on a theoretical study on genetic algorithm. On the basis of the background of the current warehouse management and cargo distribution of LCM module products warehouse belonging to W company, this study uses the dynamic goods location assignment strategy of stochastic inventory, and builds a multi-objective goods location assignment model of a stereoscopic warehouse. To simplify the calculations and improve the efficiency, we conduct a Matlab simulation on the basis of practical data by adopting a modified genetic operator and converting multi-objective optimization by the changing weight coefficient. The adaptive genetic algorithm can be used to make a multi-objective goods location assignment model that efficiently converges to the optimal solution.

Keywords: Stereoscopic warehouse; Warehousing goods location assignment; Goods location optimization; Adaptive genetic algorithm (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s10845-015-1177-7

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