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A Dynamic Contextual Change Management Application for Real Time Decision-Making Support

Article dans une revue avec comité de lecture
Auteur
ES-SOUFI, Widad
ccROUCOULES, Lionel
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
ccYAHIA, Esma

URI
http://hdl.handle.net/10985/13895
Date
2018
Journal
IFIP International Federation for Information Processing 2018

Résumé

Decision making is a fundamental process within organizations for many reasons. It is indeed involved at all levels (new product decisions, management and marketing decisions, etc.) and has a direct impact on companies’ efficiency and effectiveness. Many researches are conducted to enhance the decision-making process by proposing decision support systems where the most frequent challenge is the change management. Indeed, all businesses operate within an environment that is subject to constant changes (like new customers’ needs and requirements, organisational and technological changes, changes in key information used to derive decisions, etc.). These changes have a major impact on the quality and accuracy of the proposed decision if they are not detected and propagated, at the right time, during the decision-making process. The present work attempts to resolve this challenge by proposing a dynamic change management technique that allows three tasks to be automatically performed. First, continuously detect changes and note them. Second, retrieve from the detected changes those that are related to the decision rules. Finally, propagate them by computing the new value of the decision rule. The proposal has been fully implemented and tested in the supervision process of gas network exploitation.

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LISPEN_PLM_2018_Es-soufi.pdf
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Description:
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  • Laboratoire d’Ingénierie des Systèmes Physiques Et Numériques (LISPEN)

Documents liés

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  • A Process Mining Based Approach to Support Decision Making 
    Communication avec acte
    ES-SOUFI, Widad; ccROUCOULES, Lionel; ccYAHIA, Esma (Springer, 2017)
    Currently, organizations tend to reuse their past knowledge to make good decisions quickly and effectively and thus, to improve their business processes performance in terms of time, quality, efficiency, etc. Process mining ...
  • On the use of Process Mining and Machine Learning to support decision making in systems design 
    Communication avec acte
    ES-SOUFI, Widad; ccROUCOULES, Lionel; ccYAHIA, Esma (Springer, 2016)
    Research on process mining and machine learning techniques has recently received a significant amount of attention by product development and management communities. Indeed, these techniques allow both an automatic process ...
  • Engineering design memory for design rationale and change management toward innovation 
    Article dans une revue avec comité de lecture
    ES-SOUFI, Widad; TICHKIEWITCH, Serge; ccROUCOULES, Lionel; ccYAHIA, Esma (Elsevier, 2016)
    As the metaphor of a film, engineering design is a process where stakeholders take decisions from product requirements to the final designed system. Unfortunately, industries lack of long term project memories to go back ...
  • Collaborative Design and Supervision Processes Meta-Model for Rationale Capitalization 
    Chapitre d'ouvrage scientifique
    ES-SOUFI, Widad; ccROUCOULES, Lionel; ccYAHIA, Esma (Springer International Publishing, 2016)
    Companies act today in a collaborative way, and have to master their product design and supervision processes to remain productive and reactive to the perpetual changes in the industrial context. To achieve this, authors ...
  • Digital Continuity Based on Reinforcement Learning Model Transformation 
    Conférence invitée
    BRILHAULT, Quentin; ccESMA, YAHIA; ccLIONEL, ROUCOULES (Springer, 2022-09-25)
    With the importance gained by Service-Oriented Architectures (SOA) to simplify and decompose complex enterprise information system into autonomous, modular, reusable and, flexible model, the need to make models interoperable ...

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