MISE EN ŒUVRE ET OPTIMISATION DES PLANS DE CONTRÔLE DYNAMIQUE DANS LA FABRICATION DES SEMI-CONDUCTEURS

Abstract : In this thesis, we have worked on the problem of implementing dynamic control plans in a high-mix semiconductor environment. We focused on the trade-off between yield and cycle time, the minimization of the number of controls without added value, and the optimization of the use of inspection capacity. We started our works by formalizing and generalizing the problem through a literature review. Then, we proposed three main solutions to industrially implement dynamic control plan policies. The first solution we proposed is based on an indicator that enables a very large amount of data to be handled and several risk types assessed with little CPU. The second solution is based on smart sampling algorithms we developed to enable the dynamic selection of the best products or lots to control in real time. And the third solution is a mixed-integer linear programming model we developed to optimize the key parameters that are used in the smart sampling algorithms.The originality of this thesis lies in the industrial implementation of the general solutions we proposed. All solutions have been industrially validated and some of the solutions have been extended to other sites of the company. Several perspectives have been highlighted and offer numerous avenues for further works.
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Justin Nduhura Munga. MISE EN ŒUVRE ET OPTIMISATION DES PLANS DE CONTRÔLE DYNAMIQUE DANS LA FABRICATION DES SEMI-CONDUCTEURS. Autre. Ecole Nationale Supérieure des Mines de Saint-Etienne, 2012. Français. ⟨NNT : 2012EMSE0663⟩. ⟨tel-00848578⟩

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