Multi-period liner ship fleet planning with dependent uncertain container shipment demand

Qiang Meng, Tingsong Wang, Shuaian Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

23 Citations (Scopus)

Abstract

This paper deals with a realistic multi-period liner ship fleet planning problem by incorporating stochastic dependency of the random and period-dependent container shipment demand. This problem is formulated as a multi-period stochastic programming model with a sequence of interrelated two-stage stochastic programming (2SSP) problems characterized ship fleet planning in each single period. A solution method integrating dual decomposition and Lagrangian relaxation method is designed for solving the developed model. Numerical experiments are carried out to assess applicability and performance of the proposed model and solution algorithm. The results further demonstrate importance of stochastic dependence of the uncertain container shipment demand.
Original languageEnglish
Pages (from-to)43-67
Number of pages25
JournalMaritime Policy and Management
Volume42
Issue number1
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Transportation
  • Ocean Engineering
  • Management, Monitoring, Policy and Law

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