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

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.

• Record URL:
  https://doi.org/10.1016/j.tre.2020.102158
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1366554520308036
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
• Supplemental Notes:
  • © 2020 Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Li, Xiaowei
  • Hua, Guowei
  • Huang, Anqiang
  • Sheu, Jiuh-Biing
  • Cheng, T C E
  • Huang, Fengquan
• Publication Date: 2020-12

Language

• English

Media Info

• Media Type: Digital/other
• Features: Appendices; Figures; References; Tables;
• Serial:
  • Transportation Research Part E: Logistics and Transportation Review
  • Volume: 144
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1366-5545
  • Serial URL: http://www.sciencedirect.com/science/journal/13665545

Subject/Index Terms

• TRT Terms: Automated guided vehicle systems; Energy consumption; Handling and storage; Pickup and delivery service; Robotics
• Subject Areas: Freight Transportation; Planning and Forecasting; Terminals and Facilities;

Filing Info

• Accession Number: 01760809
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 25 2020 3:05PM