A maritime container repositioning yield-based optimization model with uncertain upsurge demand

Eugene Y.C. Wong, Allen Tai, Mardjuki Raman

Research output: Journal article publicationJournal articleAcademic researchpeer-review

10 Citations (Scopus)

Abstract

The role of container repositioning has become more important under the severe cargo shipping environment, affected by world trade growth, trade imbalance, slow steaming strategy and high container manufacturing cost. Low cost, better routing, and supplying equipment to higher yield cargo become the top criteria. A yield-based container repositioning framework is developed, followed by a constrained linear programming optimizing the container repositioning from surplus to deficit locations. The model incorporated change of destinations of empty containers and adjustment factors handling upsurge demand. The model is applied to optimize daily container repositioning operations with a better route, costs and equipment supply.

Original languageEnglish
Pages (from-to)147-161
Number of pages15
JournalTransportation Research Part E: Logistics and Transportation Review
Volume82
DOIs
Publication statusPublished - Oct 2015

Keywords

  • Empty container repositioning
  • Maritime operations
  • Shipping network
  • Trade imbalance

ASJC Scopus subject areas

  • Business and International Management
  • Civil and Structural Engineering
  • Transportation

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