主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院

Chinese Journal of Management Science ›› 2023, Vol. 31 ›› Issue (3): 26-37.doi: 10.16381/j.cnki.issn1003-207x.2022.0381

• Articles • Previous Articles    

An Item Allocation Method for “Manual-Robotic” Dual Picking Systems Based on Association Networks

DING Tian-rong1, ZHANG Yuan-kai2, WANG Yu-ying1, HU Xiang-pei1   

  1. 1. School of Economics and Management, Dalian University of Technology, Dalian 116024, China;2. School of Economics and Management, Beihang University, Beijing 100191, China
  • Received:2022-02-27 Revised:2022-11-07 Published:2023-04-03
  • Contact: 胡祥培 E-mail:drhxp@dlut.edu.cn

Abstract: By combining the advantages of “parts-to-picker” in a robotic mobile fulfillment system and “picker-to-cparts” in a traditional manual picking system, the “Manual-Robotic” dual picking system provides an unprecedented opportunity to solve the multi-item order picking problem faced by large online supermarkets. However, multi-item orders may be split into multiple suborders for two separate areas, which will greatly increase order picking costs. To overcome this issue, one can reduce the number of split orders by making better allocation decisions for SKUs (stock keeping units) stored in two areas, which represent manual and robotic areas respectively. It aims to solve the challenging SKU allocation problem in these two picking areas.

Key words: “Manual-Robotic” dual picking system; multi-item order; SKU allocation; association network; Monte Carlo Tree Search

CLC Number: