Data-Driven Intelligent Port Management Based on Blockchain

Shuaian Wang, Lu Zhen, Liyang Xiao, Maria Attard

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Article number2040017
JournalAsia-Pacific Journal of Operational Research
DOIs
Publication statusAccepted/In press - 2020

Keywords

  • blockchain
  • data-driven model
  • Intelligent port management
  • ship traffic

ASJC Scopus subject areas

  • Management Science and Operations Research

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