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Media type:
E-Article
Title:
Technical Note—Worst-Case Benefit of Restocking for the Vehicle Routing Problem with Stochastic Demands
Contributor:
Bertazzi, Luca;
Secomandi, Nicola
imprint:
Institute for Operations Research and the Management Sciences (INFORMS), 2020
Published in:Operations Research
Language:
English
DOI:
10.1287/opre.2019.1901
ISSN:
0030-364X;
1526-5463
Origination:
Footnote:
Description:
<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>