Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7541820 | Computers & Industrial Engineering | 2017 | 31 Pages |
Abstract
The majority of research studies the resource constrained multi-project scheduling problem in a deterministic environment, regardless of the uncertainty nature of the environment. In this paper, we assume that the activity duration is a stochastic variable, and propose two new robustness measures to analyse the performance of priority rules under a stochastic environment. A full factorial experiment is designed to solve the problem and investigate the relationship between project characteristics and the performance of priority rules. Furthermore, a trade-off relationship between the quality and robustness is investigated and the best priority rules are recommended from both a project and portfolio managers perspective.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
Yanting Wang, Zhengwen He, Louis-Phillipe Kerkhove, Mario Vanhoucke,