配送中心分拣订单合批策略的研究

合理优化货物拣选路径和订单批量策略是劳动密集型配送中心降低拣选成本的一种有效方法。通过分析人工拣选作业和订单合批的特点,从拣选路径、拣选次数、订单提前期3个方面考虑,构造了拣货作业中订单分批的多目标优化数学模型,并分别用先到先服务、基本遗传算法、改进的小生境遗传算法对数学模型进行求解,得出不同的订单数据从执行时间和优化效果方面所对应的最优求解方法。

Research on picking order batching policy of a distribution center

This is an effective way to reduce the picking cost in a labor-intensive distribution center by optimizing the picking route and order batching. By analyzing the characteristics of manual-picking-working and order batching, a new mathematical model was constructed, taking into consideration of the picking route, picking number and the lead time of the order. Furthermore, the model was solved based on different algorithms including first-come-first-serve, genetic algorithm, and improved niche genetic algorithm, and thus to decide the best algorithm with best operation time and optimized effect depending on different order data.