考虑拆分策略的智能仓库订单分拣建模与优化

Modeling and Optimization of Smart Warehouse Order Sorting Considering Splitting Strategy

针对一种两类订单混合分拣的自动小车分拣问题,考虑其在订单分拣过程中出现的分拣AGV(automatic guided vehicle)堵塞和人工收集站闲置的现象,提出一种订单拆分的策略及拆分后子订单批次调整的方法,并以总订单完工时间最小化为优化目标,建立了订单拆分的订单分拣整数规划模型;提出一种改进离散灰狼优化算法,将订单分批、批次排序以及下架库位选取3个子问题进行联合优化。数值实验结果表明,订单拆分策略使总订单完工时间显著减少,并且通过与经典算法以及其他同类型算法的对比,验证了所提算法的优越性。

For an automatic vehicle sorting problem involving mixed sorting of two types of orders,an order splitting strategy and a method for batch adjustment of sub-orders after splitting are proposed by considering the phenomena of blockage of automatic guided vehicles(AGVs)and idleness of manual collection stations in the order sorting process.In addition,with the optimization objective of minimizing the total order completion time,an order sorting integer planning model with order splitting is established.An improved discrete grey wolf optimization algorithm is proposed to jointly optimize the three sub-problems of order batching,batch sorting,and product unloading location selection.Numerical experimental results show that the order splitting strategy leads to a significant reduction in the total order completion time,and the superiority of the proposed algorithm is verified by comparing it with the classical algorithm and other algorithms of the same type.