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.
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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 |
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