摘要
基于自动化立体仓库存货作业和取货作业的不同要求与原则,分别建立了自动化立体仓库存货作业与取货作业的货位分配优化模型。利用遗传算法分别对建立的存货货位优化模型和取货货位优化模型进行算法设计,选取具有代表性的某医药自动化立体仓库收集实际数据,利用MATLAB软件,对建立的模型进行实例仿真验证。
Based on the different requirements and principles of inventory and pickup operations of an automatic warehouse,we established the cargo space optimization models for the inventory operation and pickup operation respectively,and designed the genetic algorithm to solve the models.Then,with the data of a representative pharmaceutical automatic warehouse,we simulated and verified the models established using software MATLAB.
作者
马向国
刘旭
赵香玉
MA Xiangguo;LIU Xu;ZHAO Xiangyu(Logistics School,Beijing Wuzi University,Beijing 101149,China)
出处
《物流技术》
2023年第4期92-97,135,共7页
Logistics Technology
基金
北京市社会科学基金项目“基于区域协同的北京市应急资源布局及调度优化研究”(21GLB029)。