Citation

Chardy M, Klopfenstein O. Transp. Res. E Logist. Transp. Rev. 2012; 48(3): 667-683.

Copyright

(Copyright © 2012, Elsevier Publishing)

DOI

10.1016/j.tre.2011.12.001

PMID

unavailable

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.