基于串并行混合拣选策略的自动拣选系统品项分配优化

doi:10.6040/j.issn.1672-3961.0.2015.061

Abstract

Abstract: 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.

Key words: picking efficiency, automatic picking system, hybrid picking strategy, item assignment, niched genetic algorithm

CLC Number:

TP278

LIU Debao, WU Yaohua, GUO Yaoyang, WANG Yanyan. Item assignment optimization of automatic picking system based on hybrid picking strategy[J].JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2015, 45(6): 36-44.

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