• Media type: E-Book
  • Title: Worst-Case Benefit of Restocking for the Vehicle Routing Problem With Stochastic Demands
  • Contributor: Bertazzi, Luca [VerfasserIn]; Secomandi, Nicola [VerfasserIn]
  • imprint: [S.l.]: SSRN, 2018
  • Extent: 1 Online-Ressource (7 p)
  • Language: English
  • DOI: 10.2139/ssrn.3246339
  • Identifier:
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments September 6, 2018 erstellt
  • Description: The extant literature on the vehicle routing problem with stochastic demands indicates that restocking 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
  • Access State: Open Access