Worst-Case Benefit of Restocking for the Vehicle Routing Problem With Stochastic Demands

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

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Year of publication:	2018
Authors:	Bertazzi, Luca ; Secomandi, Nicola
Publisher:	[S.l.] : SSRN
Subject:	Tourenplanung \| Vehicle routing problem \| Stochastischer Prozess \| Stochastic process \| Theorie \| Theory

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Extent:	1 Online-Ressource (7 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments September 6, 2018 erstellt
Other identifiers:	10.2139/ssrn.3246339 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014111571