Efficient robustness measures for the resource-constrained project scheduling problem Online publication date: Fri, 27-Dec-2013
by Mohamed Ali Khemakhem; Hédi Chtourou
International Journal of Industrial and Systems Engineering (IJISE), Vol. 14, No. 2, 2013
Abstract: The single-mode resource-constrained project scheduling problem is considered. Traditionally, this problem is solved with the objective of makespan minimisation. But in reality, projects are often subject to diverse sources of uncertainty that could have a negative impact on this objective. That is why, some recent research efforts have focused on the generation of robust project baseline schedules that are protected against possible disruptions that may occur during schedule execution. To provide an accurate estimate of the schedule robustness, they introduced surrogate measures. This paper reviews the main robustness measures (RMs) proposed in the literature. It also presents several new RMs. Using a five-stage approach, the efficiency of all RMs is assessed, in a specific context, by computing the correlation between RMs and a predefined performance measure. The relevance and the efficiency of some new RMs are illustrated. Also, the superiority of the newly proposed RMs over the old ones is statistically proven for a particular perturbation scheme. Hence, these measures could help project managers in discriminating solutions having the same makespan to choose the most robust schedule.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Industrial and Systems Engineering (IJISE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com