Vehicle Routing with Stochastic Demands: Properties and Solution Frameworks

Moshe Dror, Gilbert Laporte and Pierre Trudeau
Additional contact information
Moshe Dror: Industrial Engineering and Management, Ben Gurion University of the Negev, P.O. Box 653, Beer Sheva 84 105, Israel, and Centre de recherche sur les transports, Université de Montréal, C.P. 6128, Succursale A, Montréal, Canada H3C 3J7
Gilbert Laporte: Centre de recherche sur les transports, Université de Montréal, C.P. 6128, Succursale A, Montréal, Canada H3C 3J7
Pierre Trudeau: Centre de recherche sur les transports, Université de Montréal, C.P. 6128, Succursale A, Montréal, Canada H3C 3J7

Transportation Science, 1989, vol. 23, issue 3, 166-176

Abstract: This paper considers the vehicle routing problem with stochastic demands. The objective is to provide an overview of this problem, and to examine a variety of solution methodologies. The concepts and the main issues are reviewed along with some properties of optimal solutions. The existing stochastic mathematical programming formulations are presented and compared and a new formulation is proposed. A new solution framework for the problem using Markovian decision processes is then presented.

Date: 1989
References: Add references at CitEc
Citations: View citations in EconPapers (70)

Downloads: (external link)
http://dx.doi.org/10.1287/trsc.23.3.166 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:ortrsc:v:23:y:1989:i:3:p:166-176

Access Statistics for this article

More articles in Transportation Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().