Analysis of containership speed optimization algorithms

Shuaian Wang, Qiang Meng, Zhiyuan Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Containership speed optimization is important for liner shipping companies because bunker cost constitutes a large proportional of their total operating cost and bunker consumption is sensitive to the ship sailing speed. Speed optimization problems can be formulated as mixed-integer nonlinear programming (MINLP) models. However, the MINLP models developed for the large-scale problems are not solvable by using existing optimization solvers. This paper first analyzes the exiting solution algorithms for solving the MINLP model and then proposes a few novel algorithms which are capable of solving large-scale problems.
Original languageEnglish
Title of host publicationProceedings of the 17th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2012
Subtitle of host publicationTransportation and Logistics Management
Pages49-55
Number of pages7
Publication statusPublished - 1 Dec 2012
Externally publishedYes
Event17th International Conference of Hong Kong Society for Transportation Studies: Transportation and Logistics Management, HKSTS 2012 - Kowloon, Hong Kong
Duration: 15 Dec 201217 Dec 2012

Conference

Conference17th International Conference of Hong Kong Society for Transportation Studies: Transportation and Logistics Management, HKSTS 2012
Country/TerritoryHong Kong
CityKowloon
Period15/12/1217/12/12

Keywords

  • Containership
  • Fuel
  • Linearization
  • Sailing speed

ASJC Scopus subject areas

  • Transportation

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