太阳能电池片无人自动化生产车间物流调度方法研究  

Research on Logistics Scheduling Method of Solar Cell Unmanned Automated Job Shop

作　　者：李凡 李顺江 何玉东 Li Fan;Li Shunjiang;He Yudong(Chengdu Siwei High-tech Industrial Park Co.,Ltd.,Chengdu 610000,China)

机构地区：[1]成都四威高科技产业园有限公司,四川成都610000

出　　处：《物流技术》2020年第1期121-126,共6页Logistics Technology

基　　金：四川省科技计划重点研发项目(2018GZ0124)。

摘　　要：物流调度方法对车间生产效率和AGV有效利用率有重要影响,当前调度方法研究方向主要是路径规划优化算法及其效率、物流搬运整体效率最优的算法及其效率;然而在生产线上由于工序之间严格的先后关系、生产线产量要求、工序产出半成品严格的存放时间要求等因素均对物流调度有重要影响,不能简单的以整体物流搬运效率最高为优化目标。针对太阳能电池片无人自动化生产车间生产特点,以保持生产车间产量最高和兼顾物流效率为目标,建立了物流任务排序模型,基于物流需求的随机性,提出了将任务优化的目标集合从当前所有任务,缩小为不大于该区域AGV数量的任务;针对缩小后的任务集合,提出了以任务执行时间最短为优化目标并采用匈牙利算法进行求解,提高了求解效率,降低了优化问题的复杂度,最后通过某太阳能电池片生产企业自动化生产车间的智能物流项目进行了验证。In this paper,aiming at the characteristics of the unmanned automated solar cell job shop,and with achieving the highest job shop output while taking into consideration the efficiency of the logistics operations as the objective,we established a logistics task sequencing model,and based on the randomness of logistics requirements,proposed to narrow the objective set of task optimization to keeping the number of tasks in a region no higher than the number of AGVs in that region.Then in view of the narrowed task set,we put forward the optimization goal with the shortest task execution time as the objective and used the more efficient Hungarian algorithm to solve the problem,which could reduce the complexity of the optimization problem.At the end,we validated the model and algorithm through the empirical case of the automated job shop intelligent logistics project of a solar cell manufacturing company.

关 键 词：智能物流 太阳能电池 排序模型 执行时间最短 匈牙利算法 

分 类 号：TM914.4[电气工程—电力电子与电力传动] F425[经济管理—产业经济]