Cargo mix and shipment planning problem with uncertainty

Chengxuan Cao, James S K Ang, Hengqing Ye

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

Abstract

International ocean container shipping is a huge investment business and carriers expect more benefits from improving the operational level cargo mix and shipment planning. In this paper, we describe the characteristics of the cargo mix and shipment schedule problem with uncertainty in a multi-period planning horizon, and propose a two-stage stochastic mixed integer programming model for the problem. The objective of the model is maximizing the expected profit over the possible decisions under the uncertainty of shipping capacities. A heuristic algorithm is proposed to obtain an approximate optimal solution for the problem. Finally, we give numerical experiments to demonstrate the efficiency of the algorithm.
Original languageEnglish
Title of host publication2005 International Conference on Services Systems and Services Management, Proceedings of ICSSSM'05
Pages305-310
Number of pages6
Volume1
DOIs
Publication statusPublished - 1 Dec 2005
Externally publishedYes
Event2005 International Conference on Services Systems and Services Management, ICSSSM'05 - Chongquing, China
Duration: 13 Jun 200515 Jun 2005

Conference

Conference2005 International Conference on Services Systems and Services Management, ICSSSM'05
CountryChina
CityChongquing
Period13/06/0515/06/05

Keywords

  • Cargo mix
  • Heuristic algorithm
  • Logistics
  • Stochastic mixed integer programming

ASJC Scopus subject areas

  • Engineering(all)

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