JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2015, Vol. 45 ›› Issue (6): 36-44.doi: 10.6040/j.issn.1672-3961.0.2015.061

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

LIU Debao, WU Yaohua, GUO Yaoyang, WANG Yanyan   

  1. School of Control Science and Engineering, Shandong University, Jinan 250061, Shandong, China
  • Received:2015-03-12 Revised:2015-06-03 Online:2015-12-20 Published:2015-03-12

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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
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