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Technical Note—Worst-Case Benefit of Restocking for the Vehicle Routing Problem with Stochastic Demands

Luca Bertazzi, Nicola Secomandi

Operations Research · 2020 · Volume 68 · Issue 3

DOI: 10.1287/opre.2019.1901

Abstract

The extant literature on the vehicle routing problem with stochastic demands indicates that the restocking strategy yields moderate percentage expected cost reductions relative to the a priori approach but lacks theoretical support for this improvement. We conduct a worst-case analysis that corroborates the observed restocking benefits and enhances our understanding of a foundational model in logistics under uncertainty.

Keywords

networks/graphs, stochastic; transportation, vehicle routing, Transportation, a priori routing, restocking, stochastic demand, vehicle routing, worst-case analysis

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