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On the performance of priority rules for the stochastic resource constrained multi-project scheduling problem

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. Green open access

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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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