Journal article
Applications of machine learning methods in port operations – A systematic literature review
Abstract
Ports are pivotal nodes in supply chain and transportation networks, in which most of the existing data remain underutilized. Machine learning methods are versatile tools to utilize and harness the hidden power of the data. Considering ever-growing adoption of machine learning as a data-driven decision-making tool, the port industry is far behind other modes of transportation in this transition. To fill the gap, we aimed to provide a …
Authors
Filom S; Amiri AM; Razavi S
Journal
Transportation Research Part E Logistics and Transportation Review, Vol. 161, ,
Publisher
Elsevier
Publication Date
5 2022
DOI
10.1016/j.tre.2022.102722
ISSN
1366-5545