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A robust optimization approach for the road network daily maintenance routing problem with uncertain service time

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  • Chen, Lu
  • Gendreau, Michel
  • Hà, Minh Hoàng
  • Langevin, André

Abstract

This paper studies the robust optimization approach for the routing problem encountered in daily maintenance operations of a road network. The uncertainty of service time is considered. The robust optimization approach yields routes that minimize total cost while being less sensitive to substantial deviations of service times. A robust optimization model is developed and solved by the branch-and-cut method. In computational experiments, the behavior of the robust solutions and their performance are analyzed using Monte Carlo simulation. The robust optimization model is also compared with a classic chance-constrained programming model. The experimental analysis provides managerial insights for decision makers to determine an appropriate routing strategy.

Suggested Citation

  • Chen, Lu & Gendreau, Michel & Hà, Minh Hoàng & Langevin, André, 2016. "A robust optimization approach for the road network daily maintenance routing problem with uncertain service time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 85(C), pages 40-51.
    • Handle: RePEc:eee:transe:v:85:y:2016:i:c:p:40-51
    DOI: 10.1016/j.tre.2015.11.006
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