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On the performance of priority rules for the stochastic resource constrained multi-project scheduling problem
Wang, Yanting ; He, Zhengwen ; Kerkhove, Louis-Phillipe ; Vanhoucke, Mario
Wang, Yanting
He, Zhengwen
Kerkhove, Louis-Phillipe
Vanhoucke, Mario
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Publication Type
Journal article with impact factor
Editor
Supervisor
Publication Year
2017
Journal
Computers & Industrial Engineering
Book
Publication Volume
114
Publication Issue
December
Publication Begin page
223
Publication End page
234
Publication Number of pages
Collections
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.
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Keywords
Stochastic processes, Production scheduling, Problem solving, Uncertainty (Information theory), Project managers, Robust control