Service and transfer selection for freights in a synchromodal network

Arturo Eduardo Perez Rivera, Martijn R.K. Mes

Research output: Book/ReportReportProfessional

6 Citations (Scopus)
79 Downloads (Pure)

Abstract

We study the planning problem of selecting services and transfers in a synchromodal network to transport freights with diff erent characteristics, over a multi-period horizon. The evolution of the network over time is determined by the decisions made, the schedule of the services, and the new freights that arrive each period. Although freights become known gradually over time, the planner has probabilistic knowledge about their arrival. Using this knowledge, the planner balances current and future costs at each period, with the objective of minimizing the total costs over the entire horizon. To model this stochastic and multi-period tradeoff , we propose a Markov Decision Process (MDP) model. To overcome the computational complexity of solving the MDP, we propose an Approximate Dynamic Programming (ADP) approach. Using diff erent problem settings, we show that our look-ahead approach has significant benefi ts compared to a benchmark heuristic.
Original languageEnglish
Place of PublicationEindhoven, the Netherlands
PublisherTU Eindhoven, Research School for Operations Management and Logistics (BETA)
Publication statusPublished - 2016

Publication series

NameBETA working papers
PublisherTU Eindhoven, Research School for Operations Management and Logistics (BETA
No.504

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Keywords

  • IR-103987
  • METIS-321855

Cite this

Perez Rivera, A. E., & Mes, M. R. K. (2016). Service and transfer selection for freights in a synchromodal network. (BETA working papers; No. 504). Eindhoven, the Netherlands: TU Eindhoven, Research School for Operations Management and Logistics (BETA).