基于串并行混合拣选策略的自动拣选系统品项分配优化

面向配送中心自动拣选系统的效率需求,提出了一种新型的串并行混合拣选策略,并设计了品项货位分配的优化方法。针对订单拣选作业,结合串、并行拣选策略的优点设计混合拣选策略:首先选择非干涉品项进行并行拣选,而后针对并行拣选后产生的间隙选择合适品项进行插空拣选,最后对剩余品项进行串行拣选。针对该拣选策略受品项货位分配影响较大的特点,设计了改进的小生境遗传算法对拣选系统的品项货位分配进行优化。仿真试验结果证明了串并行混合拣选策略和品项货位分配优化方法对提高自动拣选系统效率的有效性和可行性。

Item assignment optimization of automatic picking system based on hybrid picking strategy

To improve the efficiency of the automatic picking system, a novel hybrid picking strategy combining the advantages of serial and parallel picking strategies was proposed. The noninterference items were sorted in parallel first. Then the appropriate item were sorted to fill in the gaps between the items after parallel picking. Finally, the remaining items were sorted in serial. Since item assignment affects the performance of the hybrid picking strategy, it was optimized by a modified niched genetic algorithm. Experimental results illustrated the feasibility and effectiveness of the hybrid picking strategy and item assignment optimization for improving the efficiency of the automatic picking system.