@article{ref1,
title="Handling uncertainties in vehicle routing problems through data preprocessing",
journal="Transportation research part E: logistics and transportation review",
year="2012",
author="Chardy, Matthieu and Klopfenstein, Olivier",
volume="48",
number="3",
pages="667-683",
abstract="This paper presents a global preprocessing methodology for handling uncertainties in operations management. Beyond theoretical considerations on solution feasibility, the methodology provides practitioners with a Monte Carlo simulation-based framework for effective risk management. The main strength of this methodology is being easily applicable to almost any decision problem. Application field of the paper is a real-life workforce management problem for which we propose several mixed integer formulations as well as dedicated solution algorithms. Extensive numerical tests on real-life instances assess the benefit from preprocessing schemes when performed as recommended by our approach, and thus prove its practical relevance.<p />",
language="en",
issn="1366-5545",
doi="10.1016/j.tre.2011.12.001",
url="http://dx.doi.org/10.1016/j.tre.2011.12.001"
}