Carrying capacity procurement of rail and shipping services for automobile delivery with uncertain demand

Qiang Meng, Xiuling Hei, Shuaian Wang, Haijun Mao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

10 Citations (Scopus)

Abstract

The determination of the optimal carrying capacity procurement of rail and shipping services in the automobile intermodal network with unique characteristics is essential to save automobile delivery cost. In this research we develop a two-stage stochastic programming model for the tactical-level decision problem arising in the special automobile intermodal network. Furthermore, we improve the sample average approximation algorithmic procedure to solve the model. We apply the model and solution method to a case study associated with the Shanghai Automobile Industry Corporation. We believe that this study deals with an emerging new research topic with practical significance for the automobile industry.
Original languageEnglish
Pages (from-to)38-54
Number of pages17
JournalTransportation Research Part E: Logistics and Transportation Review
Volume82
DOIs
Publication statusPublished - 1 Oct 2015
Externally publishedYes

Keywords

  • Automobile delivery
  • Carrying capacity procurement
  • Intermodal freight transportation
  • Two-stage stochastic programming model
  • Uncertain delivery demand

ASJC Scopus subject areas

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

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