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PhD M/W Systems obsolescence Proactive management

This offer is available in the following languages:
Français - Anglais

Date Limite Candidature : mercredi 6 juillet 2022

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General information

Reference : UPR8001-CLABAR-001
Workplace : TOULOUSE
Date of publication : Wednesday, June 15, 2022
Scientific Responsible name : Claude BARON
Type of Contract : PhD Student contract / Thesis offer
Contract Period : 36 months
Start date of the thesis : 3 October 2022
Proportion of work : Full time
Remuneration : 2 135,00 € gross monthly

Description of the thesis topic

"Modeling of obsolescence-reliability-maintainability and availability couplings
Maintainability and availability integrating data uncertainties".
The obsolescence of a component can impact the system of interest, in particular its availability. It makes the system "fallible", without necessarily breaking down or failing. It really manifests itself when the obsolete component is concerned by a repair or a change during maintenance operations (UTE 2011).
Obsolescence management is a process involving many trades whose objectives are to (i) delay the occurrence of obsolescence, (ii) provide the longest window of opportunity (i.e., the time interval between the identification of obsolescence and the implementation of the appropriate resolution) (SD- 22 2021), and (iii) determine the least expensive and most efficient remediation solutions.
Obsolescence management approaches are primarily reactive, proactive, or strategic (Boissie 2019; Rojo 2011; Sandborn 2013).
The goal of the thesis, conducted in the context of the ANR EOS project, is to propose methods and tools necessary to guarantee, at best, and to maximize, the availability of a system of interest or of a fleet of systems in the presence of obsolescence, predicted and/or proven, of physical components. This goal will be achieved through the definition of the most effective (able to ensure the achievement of the objectives) and efficient (optimal use of resources) remediation solutions.
More precisely, in the thesis, the coupling between obsolescence-reliability-maintenance and availability will be defined: understanding, modeling and using formal models linking these fields of study for the just-in-time sizing of spare stocks. However, it should be noted that the EOS project will not conduct research in reliability or maintenance; we are experienced users of techniques in these fields, supported by the expertise of our industrial partners (Valeo's Senior Expert Group in reliability and Merem's Expert) and the expertise of the Quartz team in MCO.

Work Context

LAAS laboratory, CNRS, Toulouse, ISI team.
The Systems Engineering and Integration (ISI) team of the LAAS-CNRS, led by Claude Baron, addresses the definition, implementation, optimization and orchestration of systems engineering processes, from the elicitation of requirements to their withdrawal from service, with a focus on the design phase and more broadly on systems development, as well as the use of methods and tools to ensure that the products delivered satisfy certain required properties (reliability, safety, maintainability, quality, ...).

Constraints and risks


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