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A metaheuristic for stochastic service network design

Abstract

This paper considers the time-dependent service network design problem with stochastic demand represented by scenarios. To our knowledge, this is the first attempt to address real life-size instances of this problem. The model integrates the balancing of empty vehicles, the cost of handling freight in intermediate terminals, the costs associated with moving freight using the selected services, and the penalty costs of not being able to deliver freight. A metaheuristic method is presented and computational results are reported on a set of large new problem instances

Category

Research report

Language

English

Author(s)

  • Arild Hoff
  • Arnt-Gunnar Lium
  • Arne Løkketangen
  • Teodor Gabriel Crainic

Affiliation

  • SINTEF Industry / Sustainable Energy Technology
  • Molde University College - Specialized University in Logistics
  • University of Montreal

Year

2009

Publisher

University Research Centre on Enterprise Networks, Logistics and Transportation

Issue

2009-12

View this publication at Norwegian Research Information Repository