Developing a model for the stochastic time-dependent vehicle-routingproblem

  • Oren E. Nahum
  • , Yuval Hadas

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

14 Scopus citations

Abstract

Vehicle-routing problems (VRP) have been studied in depth. Many variants ofthe problem exist, most of them trying to find a set of routes with theshortest distance possible for a fleet of vehicles. This paper combines twoimportant variants, the stochastic VRP and the time-dependent VRP, to form anddefine the Stochastic Time-Dependent VRP. An efficient heuristic that is a newvariant of the well-known saving algorithm is introduced. The algorithmincorporates simulation that enables an estimate of each route's probability ofbeing the quickest. This new algorithm yields fast results that are 10% higherthan optimal solutions. Such results are similar to the performance of thesaving algorithm when compared to the capacitated VRP.

Original languageEnglish
Title of host publication2009 International Conference on Computers and Industrial Engineering, CIE 2009
PublisherIEEE Computer Society
Pages118-123
Number of pages6
ISBN (Print)9781424441365
DOIs
StatePublished - 2009
Event2009 International Conference on Computers and Industrial Engineering, CIE 2009 - Troyes, France
Duration: 6 Jul 20099 Jul 2009

Publication series

Name2009 International Conference on Computers and Industrial Engineering, CIE 2009

Conference

Conference2009 International Conference on Computers and Industrial Engineering, CIE 2009
Country/TerritoryFrance
CityTroyes
Period6/07/099/07/09

Keywords

  • Heuristics
  • Simulation
  • Vehicle routing

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