• Medientyp: E-Artikel
  • Titel: Technical Note—Worst-Case Benefit of Restocking for the Vehicle Routing Problem with Stochastic Demands
  • Beteiligte: Bertazzi, Luca; Secomandi, Nicola
  • Erschienen: Institute for Operations Research and the Management Sciences (INFORMS), 2020
  • Erschienen in: Operations Research
  • Sprache: Englisch
  • DOI: 10.1287/opre.2019.1901
  • ISSN: 0030-364X; 1526-5463
  • Schlagwörter: Management Science and Operations Research ; Computer Science Applications
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  • Beschreibung: <jats:p> In “Worst-Case Benefit of Restocking for the Vehicle Routing Problem with Stochastic Demands,” Bertazzi and Secomandi shed new light on an old yet timely problem in transportation. They analyze the benefit of planning replenishment trips in the vehicle routing problem with stochastic demands, taking as a benchmark their execution only upon stock-outs. Their worst-case investigation provides a theoretical explanation of a phenomenon that has been observed in prior numerical studies. </jats:p>