IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01658004.html
   My bibliography  Save this paper

Towards an integration of systems engineering and project management processes for a decision aiding purpose

Author

Listed:
  • Majda Lachhab

    (LGP - Laboratoire Génie de Production - ENIT - Ecole Nationale d'Ingénieurs de Tarbes - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse)

  • Cédrick Béler

    (LGP - Laboratoire Génie de Production - ENIT - Ecole Nationale d'Ingénieurs de Tarbes - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse)

  • Erlyn Solano-Charris

    (University of La Sabana = Universitad de la Sabana)

  • Thierry Coudert

    (LGP - Laboratoire Génie de Production - ENIT - Ecole Nationale d'Ingénieurs de Tarbes - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse)

Abstract

This article proposes an integrated process that combine Systems engineering processes and project management ones. These processes are defined according to the industrial standard processes existing in the literature. The main idea is to define a common information model enabling the federation of all the points of view of the different actors with regards to systems engineering, project time management, project cost management and project risk management. The resulting integrated project graph encompasses all the scenarios established after defining all the coupling points between those processes. The definition of the graph is based also on the available knowledge and the capitalized experiences resulting from experience feedback on previous projects. The scenario selection optimization is then performed using a decision-aided tool that aims to build a panel of pareto-optimal solutions taking into account uncertainties on project objectives (cost and duration). This tool will also enable the decision-maker to select one scenario according to an acceptable level of risks. The integrated process, the optimization tool based on ant colony optimization (ACO) and the method for decision making are described in the paper.

Suggested Citation

  • Majda Lachhab & Cédrick Béler & Erlyn Solano-Charris & Thierry Coudert, 2017. "Towards an integration of systems engineering and project management processes for a decision aiding purpose," Post-Print hal-01658004, HAL.
    • Handle: RePEc:hal:journl:hal-01658004
    Note: View the original document on HAL open archive server: https://hal.science/hal-01658004
    as

    Download full text from publisher

    File URL: https://hal.science/hal-01658004/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marco Better & Fred Glover & Gary Kochenberger & Haibo Wang, 2008. "Simulation Optimization: Applications In Risk Management," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 7(04), pages 571-587.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Giscard Valonne Mouafo Nebot & Haiyan Wang, 2022. "Port Terminal Performance Evaluation and Modeling," Logistics, MDPI, vol. 6(1), pages 1-22, January.
    2. Yin, Peng-Yeng & Wu, Tsai-Hung & Hsu, Ping-Yi, 2017. "Simulation based risk management for multi-objective optimal wind turbine placement using MOEA/D," Energy, Elsevier, vol. 141(C), pages 579-597.
    3. Jingguo Wang & Raj Sharman & Stanley Zionts, 2012. "Functionality defense through diversity: a design framework to multitier systems," Annals of Operations Research, Springer, vol. 197(1), pages 25-45, August.
    4. Oleksandr Romanko & Helmut Mausser, 2016. "Robust scenario-based value-at-risk optimization," Annals of Operations Research, Springer, vol. 237(1), pages 203-218, February.
    5. Cansu Kandemir & Holly A. H. Handley, 2019. "Work process improvement through simulation optimization of task assignment and mental workload," Computational and Mathematical Organization Theory, Springer, vol. 25(4), pages 389-427, December.
    6. Oleksandr Romanko & Helmut Mausser, 2016. "Robust scenario-based value-at-risk optimization," Annals of Operations Research, Springer, vol. 237(1), pages 203-218, February.

    More about this item

    Keywords

    Project management; Systems engineering; Processes integration; Risk; Uncertainty; Ant colony optimization; Decision aiding;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-01658004. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.