TY - GEN
T1 - Smart Automated Guided Vehicles and Autonomous Mobile Robots in Warehouse Operations
T2 - 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
AU - Ahmadi, B.
AU - Vanany, I.
AU - Dewi, R. S.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) are material handling equipment typically used in intralogistics setting. While traditional AGVs have been implemented widely for several decades, the smart AGVs or AMRs have been only recently deployed. This paper attempts to analyze the body of literature on smart AGVs or AMRs, particularly in warehouse operations using bibliometric analysis. The metadata was retrieved from the Scopus database, resulting in 1,380 articles published from 2000 to 2022. Statistical analysis is used to identify leading publisher, author, organization, and country. Author's keywords co-occurrence network and overlay visualization, generated by VOSviewer, are used to demonstrate the current research landscape. Moreover, emerging keywords and research issues correspond to the network visualization are presented.
AB - Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) are material handling equipment typically used in intralogistics setting. While traditional AGVs have been implemented widely for several decades, the smart AGVs or AMRs have been only recently deployed. This paper attempts to analyze the body of literature on smart AGVs or AMRs, particularly in warehouse operations using bibliometric analysis. The metadata was retrieved from the Scopus database, resulting in 1,380 articles published from 2000 to 2022. Statistical analysis is used to identify leading publisher, author, organization, and country. Author's keywords co-occurrence network and overlay visualization, generated by VOSviewer, are used to demonstrate the current research landscape. Moreover, emerging keywords and research issues correspond to the network visualization are presented.
KW - AGVs
KW - AMRs
KW - bibliometric analysis
KW - intralogistics
UR - http://www.scopus.com/inward/record.url?scp=85186075458&partnerID=8YFLogxK
U2 - 10.1109/IEEM58616.2023.10406697
DO - 10.1109/IEEM58616.2023.10406697
M3 - Conference contribution
AN - SCOPUS:85186075458
T3 - 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
SP - 939
EP - 943
BT - 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 18 December 2023 through 21 December 2023
ER -