摘要
对拣货方式、路径策略与存储策略进行协同研究,设计了具有代表性的策略组合。推出了不同路径策略下,实际拣货路径长度的计算公式。通过对各种策略组合仿真结果的比较分析,确定了3种策略的相对重要性:1)分批策略对减少拣货作业总时间影响最大;2)分类存储策略比随机存储策略所需的行走路径缩短很多;3)路径策略对拣货行走的时间的减少明显小于分批拣货方式和分类存储策略带来的拣货作业时间的减少。具体决策时,应优先考虑分类存储策略和分批拣货方式,在确定其已经有效的情况下再考虑路径策略,以使拣货效率达到整体最优。
Synergistic effects on picking,storing,and routing policies are discussed in this paper.Three policies are proposed for solving the problem.Algorithm for finding the actual picking distances under different routing policies is presented.With simulation,comparative analysis is carried out and the performance for the three policies has been evaluated.Results show that：1） order batching policy has great impacts on the time saving of order picking;2） class-based storing policy results in shorter order-picking route distance than that by random storing;and 3） the effect of routing policy on the reduction of order-picking route distance is weaker than that obtained by either order batching policy or class-based storage policy.Therefore,order batching policy or class-based storage policy should be chosen with higher priority,while routing policy could be then used to further optimize the results.
出处
《工业工程》
北大核心
2011年第2期37-43,共7页
Industrial Engineering Journal
基金
湖北省教育厅科学技术重点资助项目(D20081203)
