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|Title:||A simheuristic approach for freight transportation in smart cities|
|Author:||Reyes Rubiano, Lorena Silvana|
Calvet Liñan, Laura
Faulin Fajardo, Francisco Javier
Juan Pérez, Ángel Alejandro
Monte Carlo methods
|Publisher:||Winter Simulation Conference (WSC). Proceedings|
|Citation:||Reyes, L., Calvet, L., Faulin, J. & Juan, A. (2017). A Simheuristic Approach for Freight Transportation in Smart Cities. Winter Simulation Conference (WSC). Proceedings, 2017() 3346-3357. doi: 10.1109/WSC.2017.8248051|
|Published in:||Winter Simulation Conference, Las Vegas, EUA, 03-06, desembre de 2017|
|Abstract:||In modern society, sustainable transportation practices in smart cities are becoming increasingly important for both companies and citizens. These practices constitute a global trend, which affects multiple sectors resulting in relevant socio-economic and environmental challenges. Moreover, uncertainty plays a crucial role in transport activities; for instance, travel time may be affected by road work, the weather, or accidents, among others. This paper addresses a rich extension of the capacitated vehicle routing problem, which considers sustainability indicators (i.e., economic, environmental and social impacts) and stochastic traveling times. A simheuristic approach integrating Monte Carlo simulation into a multi-start metaheuristic is proposed to solve it. A computational experiment is carried out to validate our approach, and analyze the trade-off between sustainability dimensions and the effect of stochasticity on the solutions.|
|Appears in Collections:||Articles|
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