Optimization of Warehouse Layout Based on Genetic Algorithm and Simulation Technique

被引：0

作者：

Pan, Changhong ^{[1
]}

Yu, Shaozheng ^{[1
]}

Du, Xiaojing ^{[1
]}

机构：

[1] Dalian Neusoft Univ Informat, Dalian 116023, Peoples R China

来源：

PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC) | 2018年

关键词：

warehouse; layout planning; genetic algorithm; simulation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to improve the layout planning in warehouse, mathematical model and simulation model are built on the basis of traditional system layout planning (SLP) method. Because of the low efficiency of simulation calculation, this paper proposes a two-stage optimization method based on genetic algorithm and simulation method. Finally, this paper proposes reasonable layout planning of warehouse in the case study. According to the results, the two-stage optimization method avoids the interference of human factors that exists in the traditional SLP method, and with the advantages of mathematical model and simulation model, it can get more integrated and more logical layout planning. The satisfactory solution which is got in a certain time guarantees the efficiency of calculation.

引用

页码：3632 / 3635

页数：4

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