Journal
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
Volume 144, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tre.2020.102158
Keywords
Storage assignment; Kiva mobile fulfilment system; Automated guided vehicles (AGVs); Mobile racks; Energy consumption
Categories
Funding
- National Natural Science Foundation of China [71831001]
- Beijing social science foundation [15JGC189]
- Fundamental Research Funds for the Central Universities [2020YJ5049]
- Beijing Logistics Informatics Research Base
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To facilitate more efficient and environmentally-friendly order picking operations, this study explores the optimal storage assignment policy in the Kiva mobile fulfilment system. First, temporal association analysis and a clustering approach are employed to identify highly correlated items to be stored in the same rack. Next, in order to avoid AGV blocking, a new turnover-rate based decentralized storage policy (TRBDSP) is proposed. Subsequently, an order picking performance evaluation method is presented. Finally, simulation studies are performed to ascertain the effectiveness of TRBDSP. The results show that the new approach can significantly improve order picking efficiency and reduce AGV energy consumption.
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