Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/124616
Title: Data-driven intelligent port management based on blockchain
Authors: Wang, Shuaian
Zhen, Lu
Xiao, Liyang
Attard, Maria
Keywords: Data sets
Harbors -- Management
Harbors -- Traffic control
Blockchains (Databases) -- Case studies
Issue Date: 2021
Publisher: World Scientific Publishing Company
Citation: Wang, S., Zhen, L., Xiao, L., & Attard, M. (2021). Data-driven intelligent port management based on blockchain. Asia-Pacific Journal of Operational Research, 38(03), 2040017.
Abstract: This paper proposes a blockchain-based framework to improve the efficiency of ship traffic in port. In the framework, ship agents, terminals, tug company, pilot station, and government share information and the information is stored in a blockchain. Based on the shared information, we discuss three categories of data-driven models that can improve the operations management of the above five parties. The first category is decisions made by a single party. The second category involves decisions of at least two ship agents. The third category relates to multi-party decision-making under uncertainty. This study hopes to stimulate maritime practitioners to embrace blockchain technology and data-driven approaches to enhance the competitiveness of the industry.
URI: https://www.um.edu.mt/library/oar/handle/123456789/124616
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