Managing port disruption through sailing speed optimization for sustainable maritime transportation

Summer Guo, Haoqing Wang, Shuaian Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Ports, as nodes in maritime transportation, frequently face disruptions leading to congestion, adversely affecting the efficiency and sustainability of the global supply chain. This study considers the speeding-up strategy to alleviate port congestion. We model the transportation network as a closed Jackson network and adopt a tailored mean-value analysis algorithm to solve the model. To deliver the increased sailing speed, we further put forward a bi-section search algorithm. Our numerical analysis results demonstrate the feasibility of increasing speed to alleviate port congestion. However, when port congestion exceeds a certain threshold, the system faces collapse, rendering the increase in speed ineffective. Additionally, we recommend shipping companies consider using clean energy when employing the speeding-up strategy to mitigate congestion, thus safeguarding the environment. Our study combines theoretical methodologies and analytical models, providing insights regarding speeding up the vessels. The findings of this study offer guidelines for real-world sustainable maritime practice.

Original languageEnglish
Article number100153
JournalCleaner Logistics and Supply Chain
Volume11
DOIs
Publication statusPublished - Jun 2024

Keywords

  • Disruptions
  • Green shipping
  • Port congestion
  • Port management
  • Ship sailing speed

ASJC Scopus subject areas

  • Environmental Science (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Management, Monitoring, Policy and Law
  • Management of Technology and Innovation

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