Exploitation des informations de traçabilité pour l'optimisation des choix en production et en logistique

Abstract : The recent product traceability requirements demonstrate an industrial need to improve the information management strategies within traceability systems in order to evolve from reactivity to proactivity. The aim of this work is to exploit the recently available real-time access to traceability information. We propose the utilization of artificial intelligence and operational research techniques to analyse the information and therefore suggest improvement actions. This research project is composed of two main activities: first, the diagnosis of the criticality value associated to a production regarding the traceability information and second, the actions to undertake as a result of this diagnosis. One of the issues studied in this thesis is the problem of minimizing the size of products recall. Initially the problem of raw materials dispersion minimization is analysed. Then a result of the dispersion rate along with other production criteria are evaluated in order to determine a risk level criterion in terms of quality and security that we name “production criticality”. This criterion is used subsequently to optimize deliveries dispatch with the purpose of minimizing the number of batch recalls in case of crisis. This is achieved by implementing flexible and reactive tools
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Simon Tamayo Giraldo. Exploitation des informations de traçabilité pour l'optimisation des choix en production et en logistique. Autre. Université Paul Verlaine - Metz, 2011. Français. ⟨NNT : 2011METZ049S⟩. ⟨tel-01751591⟩

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