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Contrôle intégré du pilotage d’atelier et de la qualité des produits : application à la société ACTA mobilier

Abstract : Centre de Recherche en Automatique de Nancy. The idea is to take advantage of Product Driven System in an industrial environment disturbed by many loops and a rework rate (non quality) causing significant loss of products, non-compliance deadlines, unstable workloads, etc ... impossible link between the product and identifying infotronic lead to more difficult traceability. Work on scheduling and optimization are hampered by these disturbances on the production line that make them untenable schedules. Priority processing on defective products ensures a service rate that remains outstanding compared to the percentage of products to repair. But it also leads to loss of products that prevent the full delivery of the order. The scientific problem revolves around the control of flow in a production context disturbed by the loops and the quality level by assessing its impact on congestion. The quality-control issue has been addressed by using neural networks that can predict the occurrence of the defect to which they are dedicated from production and environmental parameters. This anticipation allows us to offer a program alternative to use or to plan to postpone the task. The adaptation of the forecasting model to the drift of the physical model with a behavior regarded as nervous is made "on line" using control charts that detect drift and its start date. Despite this simplification of flows, the flow control remains complex due to normal production loops and residual nonqualities. There are different system saturation states for which the most suitable control rule is not always the same. This analysis is presented in a two-dimensional mapping which each axis has a key indicator on non-quality rate and / or disruption of flows. Although, unlike algorithms, the most suitable control rule will not always be highlighted, this mapping has other advantages such as the simplification of the control, the ability for all users to have important information about the workshop state, or the need for homogenization of the global state of the production unit. In this context, the intelligent container offers interesting perspectives with the will to trace a group of products with the same rooting sheet rather than products one by one, to share information such as its delivery date, the urgency degree, to know what paths they should take and what are the possible alternatives or to communicate with other machines and systems including the quality forecasting system and retain information over the manufacture of the products. The proposed system is so interactive where container is at the heart of the decision. It reported his presence to scheduling system only if the quality system requirements are met, and simplify this work while allowing a traditional linear algorithm to achieve this task seen as particularly complicated at first. It is however the responsibility of the scheduler to ensure the pilot rule to use and request the relevant information available to the lots. The contribution of this thesis is a methodology to simplify complex problems by a division of work between different subsystems actors applied to the case of a manufacturer of high-finished lacquered panels
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Mélanie Noyel. Contrôle intégré du pilotage d’atelier et de la qualité des produits : application à la société ACTA mobilier. Autre. Université de Lorraine, 2015. Français. ⟨NNT : 2015LORR0316⟩. ⟨tel-01754613⟩



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