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

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    Publication type
    Journal article with impact factor
    Author
    Wang, Yanting
    He, Zhengwen
    Kerkhove, Louis-Phillipe
    Vanhoucke, Mario
    Publication Year
    2017
    Journal
    Computers & Industrial Engineering
    Publication Volume
    114
    Publication Issue
    December
    Publication Begin page
    223
    Publication End page
    234
    
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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.
    Keyword
    Stochastic processes, Production scheduling, Problem solving, Uncertainty (Information theory), Project managers, Robust control
    Knowledge Domain/Industry
    Operations & Supply Chain Management
    DOI
    10.1016/j.cie.2017.10.021
    URI
    http://hdl.handle.net/20.500.12127/5883
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.cie.2017.10.021
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