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

Luca Bertazzi () and Nicola Secomandi ()
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Luca Bertazzi: Department of Economics and Management, University of Brescia, 25122 Brescia, Italy
Nicola Secomandi: Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213

Operations Research, 2020, vol. 68, issue 3, 671-675

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: a priori routing; restocking; stochastic demand; vehicle routing; worst-case analysis (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:68:y:2020:i:3:p:671-675

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