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FMECA-Based Risk Assessment Approach for Proactive Obsolescence Management

Authors :
Maher Barkallah
Besma Zeddini
Marc Zolghadri
Mohamed Haddar
Imen Trabelsi
Laboratoire QUARTZ (QUARTZ )
Université Paris 8 Vincennes-Saint-Denis (UP8)-SUPMECA - Institut supérieur de mécanique de Paris (SUPMECA)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Ecole Internationale des Sciences du Traitement de l'Information (EISTI)
Laboratoire de recherche de Mécanique, Modélisation et Production (LA2MP)
Université de Sfax - University of Sfax-École Nationale d'Ingénieurs de Sfax | National School of Engineers of Sfax (ENIS)
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)-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)
Source :
PLM 2020: Product Lifecycle Management Enabling Smart X, PLM 2020: Product Lifecycle Management Enabling Smart X, Springer, pp.215-226, 2020, ⟨10.1007/978-3-030-62807-9_18⟩, Product Lifecycle Management Enabling Smart X ISBN: 9783030628062, PLM
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

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.

Details

Language :
English
ISBN :
978-3-030-62806-2
ISBNs :
9783030628062
Database :
OpenAIRE
Journal :
PLM 2020: Product Lifecycle Management Enabling Smart X, PLM 2020: Product Lifecycle Management Enabling Smart X, Springer, pp.215-226, 2020, ⟨10.1007/978-3-030-62807-9_18⟩, Product Lifecycle Management Enabling Smart X ISBN: 9783030628062, PLM
Accession number :
edsair.doi.dedup.....53c9601abff1b68ae96ef46c0edc60aa
Full Text :
https://doi.org/10.1007/978-3-030-62807-9_18⟩