Warehouse Storage Assignment by Genetic Algorithm with Multi-objectives

被引：1

作者：

Cheng, Chi-Bin ^{[1
]}

Weng, Yu-Chi ^{[1
]}

机构：

[1] Tamkang Univ, Dept Informat Management, New Taipei, Taiwan

来源：

INTELLIGENT HUMAN SYSTEMS INTEGRATION 2019 | 2019年 / 903卷

关键词：

Storage assignment problem; Distribution center; Genetic algorithm; Multi-objective decision making; Order picking;

D O I：

10.1007/978-3-030-11051-2_46

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The proper assignment of storages to stocks prior to their picking is critical to reduce order picking costs. Appropriate storage assignments can also shorten storing time, improve storage utilization, and facilitate inventory management. Three objectives are considered: minimizing the routing length of storing stocks, maximizing the future chance of adjacent stocks to be picked together, and minimizing the storage distance to the access point for popular stocks. This study devises a genetic algorithm to find feasible solutions and uses a method to determine the final storage assignment from a set of Pareto solutions.

引用

页码：300 / 305

页数：6

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