Distribution planning in a weather-dependent scenario with stochastic travel times: a simheuristics approach
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Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/130045
Tipus de documentText en actes de congrés
Data publicació2018
EditorIEEE Press
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
In real-life logistics, distribution plans might be affected by weather conditions (rain, snow, and fog), since they might have a significant effect on traveling times and, therefore, on total distribution costs. In this paper, the distribution problem is modeled as a multi-depot vehicle routing problem with stochastic traveling times. These traveling times are not only stochastic in nature but the specific probability distribution used to model them depends on the particular weather conditions on the delivery day. In order to solve the aforementioned problem, a simheuristic approach combining simulation within a biased-randomized heuristic framework is proposed. As the computational experiments will show, our simulation-optimization algorithm is able to provide high-quality solutions to this NP-hard problem in short computing times even for large-scale instances. From a managerial perspective, such a tool can be very useful in practical applications since it helps to increase the efficiency of the logistics and transportation operations.
CitacióEstrada-Moreno, A. [et al.]. Distribution planning in a weather-dependent scenario with stochastic travel times: a simheuristics approach. A: Winter Simulation Conference. "Proceedings of the 2018 Winter Simulation Conference". IEEE Press, 2018, p. 3013-3024.
ISBN978-1-5386-6571-8
Versió de l'editorhttps://www.informs-sim.org/wsc18papers/includes/files/265.pdf
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