• DocumentCode
    3315883
  • Title

    MOFIS: New Conceptual Modeling Framework for Handling Value Adding Networks Complexity

  • Author

    Naciri, Souleiman ; Yoo, Min-Jung ; Glardon, Rémy

  • Author_Institution
    Lab. for Production Manage. & Processes, Ecole Polytech. Fed. de Lausanne, Lausanne
  • fYear
    2008
  • fDate
    26-31 Oct. 2008
  • Firstpage
    516
  • Lastpage
    522
  • Abstract
    Competition leads value adding networks to increase their agility in order to acquire or maintain their market shares. To do so, managers must be able to propose and to assess several improvement scenarios in order to offer the best service level to the markets at minimum cost. As value adding networks often involve several actors evolving in a non-steady environment, simulation is one of the best approaches to catch the complexity of these systems. However, existing simulation tools are often criticized for their opacity and their limited reusability. As an answer to these limitations, we propose a new framework that lifts the veil on decision making in simulation by allowing the integration and the edition of decision making patterns with varying levels of complexity. The framework allows as well the separation and the visualization of both material, information and control flows.
  • Keywords
    decision making; decision support systems; MOFIS; conceptual modeling framework; control flow; decision making pattern; handling value adding networks complexity; information flow; market shares; Biological system modeling; Context modeling; Costs; Decision making; Humans; Manufacturing processes; Raw materials; Robustness; Software engineering; Supply chains; Decision Making; Framework; Modeling; Supply Chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Advances, 2008. ICSEA '08. The Third International Conference on
  • Conference_Location
    Sliema
  • Print_ISBN
    978-1-4244-3218-9
  • Electronic_ISBN
    978-0-7695-3372-8
  • Type

    conf

  • DOI
    10.1109/ICSEA.2008.13
  • Filename
    4668154