Risk management in liner ship fleet deployment: A joint chance constrained programming model

Tingsong Wang, Qiang Meng, Shuaian Wang, Zhijia Tan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

34 Citations (Scopus)


This paper provides a tangible methodology to deal with the liner ship fleet deployment problem aiming at minimizing the total cost while maintaining a service level under uncertain container demand. The problem is first formulated as a joint chance constrained programming model, and the sample average approximation method and mixed-integer programming are used to deal with it. Finally, a numerical example of a liner shipping network is carried out to verify the applicability of the proposed model and solution algorithm. It is found that the service level has significant effect on the total cost.
Original languageEnglish
Pages (from-to)1-12
Number of pages12
JournalTransportation Research Part E: Logistics and Transportation Review
Publication statusPublished - 1 Jan 2013
Externally publishedYes


  • Joint chance constraint
  • Liner ship fleet deployment
  • Sample average approximation
  • Uncertain demand

ASJC Scopus subject areas

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

Cite this