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A Model-Driven Framework to Support Portfolio Management Under Uncertainties

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Advanced Information Systems Engineering (CAiSE 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14663))

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Abstract

Project Portfolio management has become a standard in the business world as a means of structuring and achieving corporate objectives. It enables the progress of a project portfolio to be monitored and evaluated using a wide range of techniques, in particular the risks management approach. However, due to the complexity and uniqueness of these portfolios, it’s becoming increasingly difficult to predict the evolution of portfolios and assess the impact of every change on the performance regarding the predefined objectives. This leads to emerging uncertainties that portfolio managers must address at each stage of the portfolio management process. To address this problem, we focus on the execution phase of portfolio management process and present through the vision of uncertainty in a portfolio management context, a model-driven framework using the Physics of Decision paradigm to support the execution phase of a projects portfolio. This framework presents a new approach to monitor projects portfolios which add flexibility and information interpretation to the risk management principles and could serve as a basis for the development of future information systems.

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Author information

Authors and Affiliations

  1. Centre Génie Industriel, IMT Mines Albi, 81000, Albi, France

    Clara Le Duff, Yohann Chasseray, Audrey Fertier & Frederick Benaben

  2. Lab R &D, Scalian, 31000, Toulouse, France

    Raphaël Falco

  3. Dauphine Recherches en Management (DRM), Université Paris Dauphine, 75016, Paris, France

    Anouck Adrot

  4. Physical Internet Center, Georgia Institute of Technology, Atlanta, USA

    Clara Le Duff, Benoit Montreuil & Frederick Benaben

Authors
  1. Clara Le Duff
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  2. Yohann Chasseray
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  3. Audrey Fertier
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  4. Raphaël Falco
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  5. Anouck Adrot
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  6. Benoit Montreuil
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  7. Frederick Benaben
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Correspondence to Clara Le Duff .

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Editors and Affiliations

  1. University of Twente, Enschede, The Netherlands

    Giancarlo Guizzardi

  2. State University of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil

    Flavia Santoro

  3. University of Essex, Colchester, UK

    Haralambos Mouratidis

  4. University of Haifa, Haifa, Israel

    Pnina Soffer

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Le Duff, C. et al. (2024). A Model-Driven Framework to Support Portfolio Management Under Uncertainties. In: Guizzardi, G., Santoro, F., Mouratidis, H., Soffer, P. (eds) Advanced Information Systems Engineering. CAiSE 2024. Lecture Notes in Computer Science, vol 14663. Springer, Cham. https://doi.org/10.1007/978-3-031-61057-8_35

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  • DOI: https://doi.org/10.1007/978-3-031-61057-8_35

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