Production logistics digital twins: Research profiling,application, challenges and opportunities |
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| Affiliation: | 1. Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing, 100124, China;2. School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China;3. Key Laboratory of CNC Equipment Reliability, Ministry of Education, Jilin University, Jilin, 130012, China;4. Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, 100124, China;5. Institute of Artificial Intelligence, Beihang University, Beijing, 100191, China;6. RIAMB (Beijing) Technology Development Co., Ltd (R.T.D.), Beijing, 100120, China;7. Digital Twin International Research Center, International Research Institute for Multidisciplinary Science, Beihang University, Beijing, 100191, China;1. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, 400044, China;2. State Key Laboratory of Public Big Data, Guizhou University, Guiyang, 550025, China;1. School of Engineering, The University of Warwick, Coventry CV4 7AL, UK;2. School of Marine Science and Technology, Tianjin University, Tianjin 300072, PR China;1. School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China;2. School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China;3. Mechanical Engineering Department, Sana''a University, Sana''a 31220, Yemen;1. Advanced Remanufacturing and Technology Centre (ARTC), A*STAR, 3 Cleantech Loop, 637143, Singapore;2. School of Mechanical and Aerospace Engineering, Nanyang Technological University, 639798, Singapore;3. Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, 510070, China;4. Singapore Institute of Manufacturing Technology (SIMTech), A*STAR, 5 Cleantech Loop, 636732, Singapore |
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| 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 characteristics 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. |
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| Keywords: | PLDTs" },{" #name" :" keyword" ," $" :{" id" :" pc_bRFqlGiwko" }," $$" :[{" #name" :" text" ," _" :" Production Logistic Digital Twins DTs" },{" #name" :" keyword" ," $" :{" id" :" pc_WqXUkHWhu9" }," $$" :[{" #name" :" text" ," _" :" Digital Twins PL" },{" #name" :" keyword" ," $" :{" id" :" pc_6HZRtFhGWx" }," $$" :[{" #name" :" text" ," _" :" Production Logistics IoT" },{" #name" :" keyword" ," $" :{" id" :" pc_zTnXXtNeHU" }," $$" :[{" #name" :" text" ," _" :" Internet of Things PLS" },{" #name" :" keyword" ," $" :{" id" :" pc_Z9DqjY5kEy" }," $$" :[{" #name" :" text" ," _" :" Production Logistics System LDT" },{" #name" :" keyword" ," $" :{" id" :" pc_XeqMAaj9yJ" }," $$" :[{" #name" :" text" ," _" :" Logistics Digital Twin PLAs" },{" #name" :" keyword" ," $" :{" id" :" pc_Qw69pvjsai" }," $$" :[{" #name" :" text" ," _" :" Production Logistics Activities CC" },{" #name" :" keyword" ," $" :{" id" :" pc_WyTntj62lA" }," $$" :[{" #name" :" text" ," _" :" Cloud Computing CPS" },{" #name" :" keyword" ," $" :{" id" :" pc_Am3n5jspqO" }," $$" :[{" #name" :" text" ," _" :" Cyber-Physical Systems AGV" },{" #name" :" keyword" ," $" :{" id" :" pc_GwQwbzaSc0" }," $$" :[{" #name" :" text" ," _" :" Automated Guided Vehicle AR" },{" #name" :" keyword" ," $" :{" id" :" pc_naYOA92ZFS" }," $$" :[{" #name" :" text" ," _" :" Augmented Reality AMR" },{" #name" :" keyword" ," $" :{" id" :" pc_iCEEGkWJAP" }," $$" :[{" #name" :" text" ," _" :" Autonomous Mobile Robot ST" },{" #name" :" keyword" ," $" :{" id" :" pc_seN0PVff8d" }," $$" :[{" #name" :" text" ," _" :" Simulation Technology MR" },{" #name" :" keyword" ," $" :{" id" :" pc_BywlPdAoVg" }," $$" :[{" #name" :" text" ," _" :" Mixed Reality IIoT" },{" #name" :" keyword" ," $" :{" id" :" pc_i9yH9MKFvX" }," $$" :[{" #name" :" text" ," _" :" Industrial Internet of Things PLE" },{" #name" :" keyword" ," $" :{" id" :" pc_9lM6UIOId3" }," $$" :[{" #name" :" text" ," _" :" Production Logistics Equipment DES" },{" #name" :" keyword" ," $" :{" id" :" pc_tCZ4MNySZJ" }," $$" :[{" #name" :" text" ," _" :" Discrete Event Simulation VR" },{" #name" :" keyword" ," $" :{" id" :" pc_6Qi5uoKe3x" }," $$" :[{" #name" :" text" ," _" :" Virtual Reality RFID" },{" #name" :" keyword" ," $" :{" id" :" pc_4re6Ftr9z2" }," $$" :[{" #name" :" text" ," _" :" Radio Frequency Identification ML" },{" #name" :" keyword" ," $" :{" id" :" pc_zxceTUYVSB" }," $$" :[{" #name" :" text" ," _" :" Machine Learning AI" },{" #name" :" keyword" ," $" :{" id" :" pc_ikbpBPidUu" }," $$" :[{" #name" :" text" ," _" :" Artificial Intelligence RL" },{" #name" :" keyword" ," $" :{" id" :" pc_wNRnbshHmT" }," $$" :[{" #name" :" text" ," _" :" Reinforcement Learning DL" },{" #name" :" keyword" ," $" :{" id" :" pc_5JPC8msuN1" }," $$" :[{" #name" :" text" ," _" :" Deep learning |
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