Abstract:The aim of this paper is to highlight the advantage of using human (expert) knowledge and know-how to design an automated quality control system. This study is based on an industrial case of a French sawmill. The modeling deals with qualitative analyses of round wood and sawn timber in order to tune X rays scanner system. NIAM/ORM method is used to model quality expert knowledge. It enables to establish existing or missing links in one quality or between different levels of quality. This model will improve the optimization of one or several decision methods based on experts' knowledge of the company.
This presentation is the first phase of a more complete study about the interest of the use of an X-ray scanner in the context of a planing mill. This scanner, placed upstream to edging phases of concerned wood products (unedged timber, square edged timber), allows to make visible not perceptible defect of the material by the human operator eye. These new knowledge in correlation with rough materials has to allow an improvement of the valuation of the end products, but also has to indicate the improvement tracks of the production installation. Our first tries aim at validating this hypothesis.
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