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

doi:10.1016/j.tre.2020.102158

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 publication › Journal article › Academic research › peer-review

64 Citations (Scopus)

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.

Original language	English
Article number	102158
Journal	Transportation Research Part E: Logistics and Transportation Review
Volume	144
DOIs	https://doi.org/10.1016/j.tre.2020.102158
Publication status	Published - Dec 2020

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

More information

10.1016/j.tre.2020.102158

Cite this

@article{40ff734925794fb6be1235aca59b1a04,

title = "Storage assignment policy with awareness of energy consumption in the Kiva mobile fulfilment system",

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

author = "Xiaowei Li and Guowei Hua and Anqiang Huang and Sheu, {Jiuh Biing} and Cheng, {T. C.E.} and Fengquan Huang",

note = "Funding Information: This work is supported by National Natural Science Foundation of China (Grant No. 71831001), Beijing social science foundation (Grant No. 15JGC189), the Fundamental Research Funds for the Central Universities (Grant No. 2020YJS049) and Beijing Logistics Informatics Research Base. Publisher Copyright: {\textcopyright} 2020",

year = "2020",

month = dec,

doi = "10.1016/j.tre.2020.102158",

language = "English",

volume = "144",

journal = "Transportation Research Part E: Logistics and Transportation Review",

issn = "1366-5545",

publisher = "Elsevier Ltd",

}

TY - JOUR

T1 - Storage assignment policy with awareness of energy consumption in the Kiva mobile fulfilment system

AU - Li, Xiaowei

AU - Hua, Guowei

AU - Huang, Anqiang

AU - Sheu, Jiuh Biing

AU - Cheng, T. C.E.

AU - Huang, Fengquan

N1 - Funding Information: This work is supported by National Natural Science Foundation of China (Grant No. 71831001), Beijing social science foundation (Grant No. 15JGC189), the Fundamental Research Funds for the Central Universities (Grant No. 2020YJS049) and Beijing Logistics Informatics Research Base. Publisher Copyright: © 2020

PY - 2020/12

Y1 - 2020/12

N2 - 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.

AB - 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.

KW - Automated guided vehicles (AGVs)

KW - Energy consumption

KW - Kiva mobile fulfilment system

KW - Mobile racks

KW - Storage assignment

UR - http://www.scopus.com/inward/record.url?scp=85096663929&partnerID=8YFLogxK

U2 - 10.1016/j.tre.2020.102158

DO - 10.1016/j.tre.2020.102158

M3 - Journal article

AN - SCOPUS:85096663929

SN - 1366-5545

VL - 144

JO - Transportation Research Part E: Logistics and Transportation Review

JF - Transportation Research Part E: Logistics and Transportation Review

M1 - 102158

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

More information

Other files and links

Fingerprint

Cite this