Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/323321 
Year of Publication: 
2025
Citation: 
[Journal:] Journal of Heuristics [ISSN:] 1572-9397 [Volume:] 31 [Issue:] 2 [Article No.:] 19 [Publisher:] Springer US [Place:] New York [Year:] 2025
Publisher: 
Springer US, New York
Abstract: 
Abstract Real-life transport operations are often subject to uncertainties in travel time or customers’ demands. Additionally, these uncertainties greatly impact the economic, environmental, and social costs of vehicle routing plans. Thus, analysing the sustainability costs of transportation activities and reliability in the presence of uncertainties is essential for decision makers. Accordingly, this paper addresses the Sustainable Vehicle Routing Problem with Stochastic Travel times and Demands. This paper proposes a novel weighted stochastic recourse model that models travel time and demand uncertainties. To solve this challenging problem, we propose an extended simheuristic that integrates reliability analysis to evaluate the reliability of the generated solutions in the presence of uncertainties. An extensive set of computational experiments is carried out to illustrate the potential of the proposed approach and analyse the influence of stochastic components on the different sustainability dimensions.
Subjects: 
Transportation
Uncertainty modelling
Hybrid metaheuristics
Simheuristics
Vehicle routing problem
Reliability analysis
Persistent Identifier of the first edition: 
Creative Commons License: 
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Document Type: 
Article
Document Version: 
Published Version
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