Wang, Y;
He, Z;
Kerkhove, LP;
Vanhoucke, M;
(2017)
On the performance of priority rules for the stochastic resource constrained multi-project scheduling problem.
Computers & Industrial Engineering
, 114
pp. 223-234.
10.1016/j.cie.2017.10.021.
Preview |
Text
Wang et al, CIE, 2017 - Working Paper Version.pdf.pdf - Accepted Version Download (436kB) | Preview |
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.
Type: | Article |
---|---|
Title: | On the performance of priority rules for the stochastic resource constrained multi-project scheduling problem |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.cie.2017.10.021 |
Publisher version: | https://doi.org/10.1016/j.cie.2017.10.021 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Multi-projects scheduling, Priority rules, Stochastic duration, Robustness |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > UCL School of Management |
URI: | https://discovery.ucl.ac.uk/id/eprint/10122703 |




Archive Staff Only
![]() |
View Item |