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FMECA-Based Risk Assessment Approach for Proactive Obsolescence Management

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  • معلومة اضافية
    • Contributors:
      Laboratoire QUARTZ (QUARTZ ); Université Paris 8 Vincennes-Saint-Denis (UP8)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-SUPMECA - Institut supérieur de mécanique de Paris (SUPMECA)-Ecole Internationale des Sciences du Traitement de l'Information (EISTI); SUPMECA - Institut supérieur de mécanique de Paris (SUPMECA); Laboratoire de recherche de Mécanique, Modélisation et Production (LA2MP); Université de Sfax - University of Sfax-École Nationale d'Ingénieurs de Sfax; École Nationale d'Ingénieurs de Sfax; Systèmes et Applications des Technologies de l'Information et de l'Energie (SATIE); École normale supérieure - Rennes (ENS Rennes)-Conservatoire National des Arts et Métiers CNAM (CNAM); HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-Université Gustave Eiffel-CY Cergy Paris Université (CY); Felix Nyffenegger; José Ríos; Louis Rivest; Abdelaziz Bouras; TC 5; WG 5.1
    • بيانات النشر:
      HAL CCSD
      Springer International Publishing
    • الموضوع:
      2020
    • Collection:
      Université Paris Lumières: HAL
    • نبذة مختصرة :
      Part 4: Analytics in the Order Fulfillment Process ; International audience ; One of the most critical issues that can affect the useful life of a product is the obsolescence of its components or functionalities. To minimize its effects and bring long-term benefits to systems, obsolescence must be proactively managed. A critical step in the process of proactive obsolescence management is the obsolescence risk analysis of critical components or functionalities. However, estimating the degree of obsolescence of multi-component systems is an area that is still under-explored, particularly when interdependencies exist between components. This estimation can be more complicated where there is no prior knowledge about the interaction between components. We used Weibull’s distribution to model the components’ interaction and calculate the obsolescence degree of the global system. This approach is evaluated using a numerical example based on a meteorological data acquisition system. The obsolescence of main components of this system is modeled while taking into account the interaction between them. Results are presented and discussed while clarifying the scientific issues that should be tackled in future works.
    • Relation:
      hal-03082753; https://hal.science/hal-03082753; https://hal.science/hal-03082753/document; https://hal.science/hal-03082753/file/506696_1_En_18_Chapter.pdf
    • الرقم المعرف:
      10.1007/978-3-030-62807-9_18
    • الدخول الالكتروني :
      https://hal.science/hal-03082753
      https://hal.science/hal-03082753/document
      https://hal.science/hal-03082753/file/506696_1_En_18_Chapter.pdf
      https://doi.org/10.1007/978-3-030-62807-9_18
    • Rights:
      http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.872FC582