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Storage assignment policy with awareness of energy consumption in the Kiva mobile fulfilment system

Xiaowei Li, Guowei Hua, Anqiang Huang, Jiuh-Biing Sheu, T.C.E. Cheng and Fengquan Huang

Transportation Research Part E: Logistics and Transportation Review, 2020, vol. 144, issue C

Abstract: 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.

Keywords: Storage assignment; Kiva mobile fulfilment system; Automated guided vehicles (AGVs); Mobile racks; Energy consumption (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (11)

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DOI: 10.1016/j.tre.2020.102158

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Transportation Research Part E: Logistics and Transportation Review is currently edited by W. Talley

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