多载具式自动化立体仓库货位分配建模与仿真  

Modeling and Simulation of Storage Assignment of Multi-shuttle-based Automated Storage and Retrieval System

作　　者：杨玮[1] 王婷[1] 王洁慈 王晓雅 刘江[1] 陈久林 YANG Wei;WANG Ting;WANG Jie-ci;WANG Xiao-ya;LIU Jiang;CHEN Jiu-lin(College of Mechanical and Electrical Engineering, Shaanxi University of Science and Technology, Xi＇an 710021, China)

机构地区：[1]陕西科技大学机电工程学院,西安710021

出　　处：《科学技术与工程》2018年第13期117-124,共8页Science Technology and Engineering

基　　金：国家自然科学基金重大项目(71390331);陕西省农业科技创新与攻关项目(2014K01-29-01);陕西科技大学科研启动基金(BJ12-21)资助

摘　　要：研究多载具式自动化立体仓库的货位分配问题,可提高系统运作效率,降低成本。对双载具和三载具两种设备配置下的货位分配问题进行分析,根据存储系统实际运作情况,考虑堆垛机在行走过程中的加速度,建立更符合实际的数学模型。考虑行程时间和货架稳定两个目标来建立货位分配数学模型,并采用改进遗传算法进行仿真求解。通过对不同任务量的订单进行仿真求解,对比遗传算法和改进遗传算法的偏离误差和平均偏差,验证了改进遗传算法可行有效。The storage assignment of multi-shuttle-automated storage and retrieval system was studied,which can improve operation efficiency of the system and reduce costs. The problem of storage assignment under the configuration of double-shuttle and three-shuttle is analyzed. According to the actual operation of the storage system,a more realistic mathematical model was established considering the acceleration of the stacker during walking. By considering the two objectives of travel time and shelf stability,the mathematical model of storage assignment is established,and the improved genetic algorithm is used to solve the problem. The deviation error and average deviation in genetic algorithm and improved genetic algorithm are compared and analyzed by solving the orders of different tasks. It is proved that the improved genetic algorithm is feasible and effective.

关 键 词：双载具 三载具 货位分配 改进遗传算法 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]