Data-Driven Intelligent Port Management Based on Blockchain

Shuaian Wang (), Lu Zhen, Liyang Xiao () and Maria Attard ()
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Shuaian Wang: Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University Hung Hom, Kowloon, Hong Kong
Lu Zhen: School of Management, Shanghai University, Shang Da Road 99, Shanghai 200444, P. R. China
Liyang Xiao: School of Management, Shanghai University, Shang Da Road 99, Shanghai 200444, P. R. China
Maria Attard: Department of Geography, University of Malta, Msida, Malta, Institute for Climate Change and Sustainable Development, University of Malta, Msida MSD 2080, Malta

Asia-Pacific Journal of Operational Research (APJOR), 2021, vol. 38, issue 03, 1-16

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.

Keywords: Intelligent port management; blockchain; data-driven model; ship traffic (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0217595920400175

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