Anticipatory freight selection in intermodal long-haul round-trips

Arturo E. Pérez Rivera, Martijn R.K. Mes

Research output: Contribution to journalArticleAcademicpeer-review

27 Citations (Scopus)
1 Downloads (Pure)

Abstract

We consider the planning problem faced by Logistic Service Providers (LSPs) transporting freights periodically, using long-haul round-trips. In each round-trip, freights are delivered and picked up at different locations within one region. Freights have time-windows and become known gradually over time. Using probabilistic knowledge about future freights, the LSP’s objective is to minimize costs over a multi-period horizon. We propose a look-ahead planning method using Approximate Dynamic Programming. Experiments show that our approach reduces costs up to 25.5% compared to a single-period optimization approach. We provide managerial insights for several intermodal long-haul round-trips settings and provide directions for further research.
Original languageEnglish
Pages (from-to)176-194
JournalTransportation research. Part E: Logistics and transportation review
Volume105
DOIs
Publication statusPublished - Sep 2017

Keywords

  • Intermodal transport
  • Synchromodal planning
  • Long-haul consolidation
  • Anticipatory shipping
  • Approximate dynamic programming

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