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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
Presentation of work at congresses
Name of edition
Winter Simulation Conference 2018
Date of publication
2018
Presentation's date
2018-12
Book of congress proceedings
Proceedings of the 2018 Winter Simulation Conference
First page
3013
Last page
3024
Publisher
IEEE Press
Project funding
Statistical methods for clinical trials, complex censoring schemes and integrative omics data analysis
Repository
http://hdl.handle.net/2117/130045 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. A: Winter Simulation Conference. "Proceedings of the 2018 Winter Simulation Conference". IEEE Press, 2018, p. 3013-3024.
Group of research
GRBIO - Biostatistics and Bioinformatics Research Group

Participants

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

Attachments