کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1023610 | 941636 | 2012 | 17 صفحه PDF | دانلود رایگان |
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.
► Problem: uncertain task durations in a vehicle routing problem with time windows.
► We propose preprocessing schemes ensuring task feasibility with a targeted risk level.
► Method for tuning the risk level for a globally optimal economic gain.
► Extensive testing on real-life data: such preprocessing is relevant in practice.
Journal: Transportation Research Part E: Logistics and Transportation Review - Volume 48, Issue 3, May 2012, Pages 667–683