Applications of smart technologies in logistics and transport: A review

The emergence of smart technologies (STs) is inducing significant transformation in logistics and transport nowadays. STs refer to the applications of artificial intelligence and data science technologies, such as machine learning, big data, to create cognitive awareness (autonomous) of an object with the support of information and communication technologies such as IoT and Blockchain. Currently, many applications of STs have demonstrated potential promise in enhancing the efficiency and effectiveness in various logistics operations and transportation systems. Further, these new advanced technologies create huge modelling challenges to traditional optimization approaches and thus create rich new research opportunities for developing new optimization methodologies in the field of logistics and transport studies. As such, the authors' aim is to conduct a comprehensive review on noteworthy contributions made in the applications of STs in improving logistics operations and transportation network efficiency. More importantly, the authors explore and discuss the technical difficulties encountered by researchers in the development of optimization methodologies caused by the applications of STs. Finally, the authors conclude the studies with suggestions for future research.

• Record URL:
  https://doi.org/10.1016/j.tre.2021.102455
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1366554521002192
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
• Supplemental Notes:
  • © 2021 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Chung, Sai-Ho
• Publication Date: 2021-9

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 102455
• Serial:
  • Transportation Research Part E: Logistics and Transportation Review
  • Volume: 153
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1366-5545
  • Serial URL: http://www.sciencedirect.com/science/journal/13665545

Subject/Index Terms

• TRT Terms: Artificial intelligence; Blockchains; Logistics; Machine learning; Reviews
• Subject Areas: Data and Information Technology; Transportation (General);

Filing Info

• Accession Number: 01788284
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 17 2021 2:25PM