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遗传算法在WMS货位优化分配中的应用
引用本文:杨平,董小刚,王新民. 遗传算法在WMS货位优化分配中的应用[J]. 吉林工程技术师范学院学报, 2012, 28(7): 68-70
作者姓名:杨平  董小刚  王新民
作者单位:1. 长春工业大学应用数学所,吉林长春,130012
2. 长春工业大学基础科学学院,吉林长春,130012
摘    要:从一汽轿车股份有限公司仓储中心WMS的实际业务出发,考虑物料的进出库频率和货架的受力情况,为货位分配问题建立多目标优化模型.利用遗传算法中的并列选择法,设计遗传算子并进行求解.优化后结果表明:可以减少堆垛机的运行距离,合理安排货物的分配,减少人工作业,提高仓储的利用效率,降低企业成本.

关 键 词:WMS(仓储管理系统)  多目标优化模型  遗传算法  并列选择法  遗传算子

Application of Genetic Algorithm In Optimize The Allocation of WMS Rack
YANG Ping , DONG Xiao-gang , WANG Xin-min. Application of Genetic Algorithm In Optimize The Allocation of WMS Rack[J]. Journal of Jilin Teachers Institute of Engineering and Technology(Natural Sciences Edition), 2012, 28(7): 68-70
Authors:YANG Ping    DONG Xiao-gang    WANG Xin-min
Affiliation:1(1.Institute of Applied Mathematics,Changchun University of Technology,Changchun Jilin 130012,China; 2.College of Basic Science,Changchun University of Technology,Changchun Jilin 130012,China)
Abstract:In light of the actual business of warehouse management in FAW Car Company,considering the turnover frequency of material and force of rack,we create a multi-objective optimization model for allocation problem.Moreover,By utilizing parallel selection method in GA and designing Genetic operators,we get the solution of model.The result display that the method can improve the efficiency of the stack machine,allocate the cargo’s location reasonably,reduce the manual work.As a result,Improve the utilization efficiency of the warehouse and reduce business costs.
Keywords:WMS(warehouse management system)  Multi-objective optimization model  GA  Parallel selection method  Genetic operators
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