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Distribution planning in a weather-dependent scenario with stochastic travel times: a simheuristics approach

Author
Estrada-Moreno, A.; Serrat, C.; Nogal, M.; Cavero-Lázaro, M.; Juan, Á.
Type of activity
Journal article
Journal
Proceedings of the IEEE
Date of publication
2019-02-04
First page
3013
Last page
3024
DOI
10.1109/WSC.2018.8632397
Project funding
Statistical methods for clinical trials, complex censoring schemes and integrative omics data analysis
Repository
http://hdl.handle.net/2117/130064 Open in new window
URL
https://www.informs-sim.org/wsc18papers/includes/files/265.pdf Open in new window
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 ...
Citation
Estrada-Moreno, A. [et al.]. Distribution planning in a weather-dependent scenario with stochastic travel times: a simheuristics approach. "Proceedings of the IEEE", 4 Febrer 2019, p. 3013-3024.
Keywords
Computational modeling, Logistics, Probability distribution, Rain, Routing, Stochastic processes
Group of research
GRBIO - Biostatistics and Bioinformatics Research Group

Participants

  • Estrada-Moreno, Alejandro  (author)
  • Serrat Pie, Carles  (author)
  • Nogal Macho, María  (author)
  • Cavero-Lázaro, Marta  (author)
  • Juan Pérez, Ángel Alejandro  (author)

Attachments