Energy-Efficient and Integrated Allocation of Berths, Quay Cranes, and Internal Trucks in Container Terminals

Ahmed Karam Abdelfattah Mostafa, Amr Eltawil, Kristian Hegner Reinau

Research output: Contribution to journalJournal articleResearchpeer-review

18 Citations (Scopus)
57 Downloads (Pure)

Abstract

Despite a significant number of studies that have focused on the operational efficiency of container terminals, existing literature has paid little attention to improving energy efficiency, e.g., energy consumption and negative externalities in container terminals. Most researchers consider energy-saving goals when allocating berths and quay cranes to vessels, assuming that internal trucks are in sufficient supply. Furthermore, recent studies have revealed that shortage of internal trucks has become an issue that greatly affects the operational and energy efficiencies of container terminals. This work presents a planning model that integrates berth allocation, quay crane assignment, and internal truck assignment problems. The developed model contributes to existing literature by including energy-saving goals in the integrated planning of these problems, as well as including important realistic factors such as shortages of internal trucks and handling time estimations, thus producing a reliable handling plan that achieves energy and cost savings without additional truck investment. To solve realistic problems, a Lagrangian relaxation-based method is developed. Furthermore, the benefits of the developed approach are demonstrated by comparing it to an existing approach. On average, our approach could improve the solutions of the integrated problem with different numbers of internal trucks by 6% compared to the solutions obtained using the existing approach.

Original languageEnglish
Article number3202
JournalSustainability (Switzerland)
Volume12
Issue number8
Number of pages24
ISSN2071-1050
DOIs
Publication statusPublished - 15 Apr 2020

Keywords

  • Berth allocation
  • Internal trucks
  • Lagrangian relaxation
  • Mathematical modeling
  • Quay cranes
  • Energy-saving
  • Container terminals

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