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, Fengquan Huang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)


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.

Original languageEnglish
Article number102158
JournalTransportation Research Part E: Logistics and Transportation Review
Publication statusPublished - Dec 2020


  • Automated guided vehicles (AGVs)
  • Energy consumption
  • Kiva mobile fulfilment system
  • Mobile racks
  • Storage assignment

ASJC Scopus subject areas

  • Business and International Management
  • Civil and Structural Engineering
  • Transportation

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