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Author:

Zhu, Yonghuai (Zhu, Yonghuai.) | Cheng, Jiangfeng (Cheng, Jiangfeng.) | Liu, Zhifeng (Liu, Zhifeng.) | Cheng, Qiang (Cheng, Qiang.) | Zou, Xiaofu (Zou, Xiaofu.) | Xu, Hui (Xu, Hui.) | Wang, Yong (Wang, Yong.) | Tao, Fei (Tao, Fei.)

Indexed by:

EI Scopus SCIE

Abstract:

In the era of Industry 4.0, Production Logistic Digital Twins (PLDTs) have garnered remarkable attention from both academic and industrial communities. This is evident from the growing number of research publications on PLDTs in international scientific journals and conferences. However, given the diversity and complexity of production logistics activities, there is a pressing need for systematic literature review to chart past research and identify potential directions for future endeavors. Therefore, this study primarily focuses on the application of Digital Twins (DTs) in Production Logistics (PL). Firstly, an analysis of PLDTs research profiling is carried out based on general trends, keywords, application scenarios, and basic functions. Secondly, the functional char-acteristics of PLDTs are examined while summarizing their advantages and limitations across various application scenarios such as transportation, packaging, warehousing, material distribution, and information processing. And the roles played by smart technologies such as Internet of Things (IoT) in PLDTs system are discussed. Finally, possible challenges and future directions of PLDTs in industrial application are presented, accompanied by appropriate classification and extensive recommendations.

Keyword:

Production logistics digital twins Digital twins Production logistics

Author Community:

  • [ 1 ] [Zhu, Yonghuai]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Cheng, Qiang]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Cheng, Jiangfeng]Beihang Univ, Sch Automation Sci & Elect Engn, Beijing 100191, Peoples R China
  • [ 4 ] [Tao, Fei]Beihang Univ, Sch Automation Sci & Elect Engn, Beijing 100191, Peoples R China
  • [ 5 ] [Liu, Zhifeng]Jilin Univ, Key Lab CNC Equipment Reliabil, Minist Educ, Jilin 130012, Peoples R China
  • [ 6 ] [Cheng, Qiang]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 7 ] [Zou, Xiaofu]Beihang Univ, Inst Artificial Intelligence, Beijing 100191, Peoples R China
  • [ 8 ] [Xu, Hui]RIAMB Beijing Technol Dev Co Ltd RTD, Beijing 100120, Peoples R China
  • [ 9 ] [Wang, Yong]RIAMB Beijing Technol Dev Co Ltd RTD, Beijing 100120, Peoples R China
  • [ 10 ] [Tao, Fei]Beihang Univ, Int Res Inst Multidisciplinary Sci, Digital Twin Int Res Ctr, Beijing 100191, Peoples R China

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Source :

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

ISSN: 0736-5845

Year: 2023

Volume: 84

1 0 . 4 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:19

Cited Count:

WoS CC Cited Count: 33

SCOPUS Cited Count: 53

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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