仓内拣货问题研究

Study on the Problem of Picking Goods in Warehouse

当前国内B2C电子商务仓库多为人至物的拣货模式,拣货作业成为其核心作业之一,占据仓库大量时间成本和资金成本,拣货方式的优化成为企业亟待解决的问题。本文针对仓内拣货的优化问题,通过基于拣货人的最短路径,最短时间,给出运行规则,运行方法,并给出一组实际数据,使用计算机模拟实际拣货情况,给出优化结果,以及结果所对应的方案。

Nowadays, the domestic B2C e-commerce warehouse is mostly a human-to-material picking mode. Picking operations have become one of its core operations, occupying a large amount of time and capital costs in the warehouse. The optimization of picking methods has become an urgent problem for enterprises to solve. This paper aims at the optimization problem of picking in the warehouse, through the shortest path based on the picker, the shortest time, gives the operating rules and operating methods, and gives a set of actual data, and then uses the computer to simulate the actual picking situation, and gives the optimization results and the corresponding solution.