Stochastic and fuzzy workload plans in project tactical planning under uncertainty.

Malek Masmoudi, Elias W. Hans, Roel Leus, Alain Hait

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    1 Citation (Scopus)

    Abstract

    Dealing with uncertainties in multi-project rough-cut capacity planning is the topic of this paper. Both fuzzy sets and probabilities are used to model uncertainties, within possibilistic and stochastic approaches, respectively. We refer to these problems as the Fuzzy Rough Cut Capacity Planning (FRCCP) and the Stochastic Rough Cut Capacity Planning (SRCCP). Uncertain workload is modeled with fuzzy and stochastic distributions, and a Simulated Annealing procedure is provided to solve the fuzzy and stochastic problems within a proactive approach. The performance of the Simulated annealing algorithm is studied in comparison to existing deterministic algorithms that we have generalized to fuzzy and stochastic parameters. Instances from shipyard maintenance center are considered to perform experiments.
    Original languageEnglish
    Title of host publication14th IFAC Symposium on Information Control Problems in Manufacturing
    PublisherElsevier
    Pages616-623
    DOIs
    Publication statusPublished - 2012

    Publication series

    NameIFAC proceedings volumes
    PublisherElsevier
    Number6
    Volume45
    ISSN (Print)1474-6670

    Keywords

    • METIS-316502

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  • Cite this

    Masmoudi, M., Hans, E. W., Leus, R., & Hait, A. (2012). Stochastic and fuzzy workload plans in project tactical planning under uncertainty. In 14th IFAC Symposium on Information Control Problems in Manufacturing (pp. 616-623). (IFAC proceedings volumes; Vol. 45, No. 6). Elsevier. https://doi.org/10.3182/20120523-3-RO-2023.00344