Scheduling drayage operations in synchromodal transport

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)
1 Downloads (Pure)

Abstract

We study the problem of scheduling drayage operations in synchromodal transport. Besides the usual decisions to time the pick-up and delivery of containers, and to route the vehicles that transport them, synchromodal transport includes the assignment of terminals for empty and loaded containers. The challenge consists of simultaneously deciding on these three aspects while considering various resource and timing restrictions. We model the problem using mixed integer linear programming (MILP) and design a matheuristic to solve it. Our algorithm iteratively confines the solution space of the MILP using several adaptations, and based on the incumbent solutions, guides the subsequent iterations and solutions. We test our algorithm under different problem configurations and provide insights into their relation to the three aspects of scheduling drayage operations in synchromodal transport.

Original languageEnglish
Title of host publicationComputational Logistics
Subtitle of host publication8th International Conference, ICCL 2017, Proceedings
EditorsTolga Bektas, Stefano Coniglio, Antonio Martinez-Sykora, Stefan Voss
PublisherSpringer
Pages404-419
Number of pages16
ISBN (Electronic)978-3-319-68496-3
ISBN (Print)9783319684956
DOIs
Publication statusPublished - 2017
Event8th International Conference on Computational Logistics, ICCL 2017 - Grand Harbour Hotel, Southampton, United Kingdom
Duration: 18 Oct 201720 Oct 2017
Conference number: 8
https://iccl2017.wixsite.com/main

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10572 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference8th International Conference on Computational Logistics, ICCL 2017
Abbreviated titleICCL 2017
CountryUnited Kingdom
CitySouthampton
Period18/10/1720/10/17
Internet address

Keywords

  • Drayage operations
  • Matheuristic
  • Synchromodal transport

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