Noorizadegan, Mahdi and Chen, Bo (2018) Vehicle routing with probabilistic capacity constraints. European Journal of Operational Research, 270 (2). pp. 544-555. ISSN 0377-2217
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Abstract
In this paper, we study chance-constraint vehicle routing with stochastic demands. We propose a set-partitioning formulation for the underlying problem and solve it via a branch-and-price method. Our method is flexible in modeling different types of demand randomness while ensuring that the resulting problem is tractable. An extensive computational analysis, which includes simulation tests and a sensitivity analysis, is carried out to investigate the solution quality and computational efficiency. Some large instances of the underlying problems from the VRP library are solved to optimality for the first time. Our sensitivity analysis provides some useful insights about the impact of the probability of route failure on the decision variables, the expected cost and the route reliability.
Item Type: | Article |
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Uncontrolled Keywords: | routing, chance-constrained programming, set-partitioning formulation |
Subjects: | G200 Operational Research N100 Business studies N800 Tourism, Transport and Travel |
Department: | Faculties > Business and Law > Newcastle Business School |
Depositing User: | John Coen |
Date Deposited: | 17 Mar 2021 09:11 |
Last Modified: | 31 Jul 2021 15:31 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/45716 |
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