A SMART SAMPLING SCHEDULING AND SKIPPING SIMULATOR AND ITS EVALUATION ON REAL DATA SETS

Abstract : As modern manufacturing technology progresses, measurement tools become scarce resources since more and longer control operations are required. It thus becomes critical to decide whether a lot should be measured or not in order to get as much information as possible on production tools or processes, and to avoid ineffective measures. To minimize risks and optimize measurement capacity, a smart sampling algorithm has been proposed to efficiently select and schedule production lots on metrology tools. This algorithm and others have been embedded in a simulator called "Smart Sampling Scheduling and Skipping Simulator" (S5). The characteristics of the simulator will be presented. Simulations performed on several sets of instances from three different semiconductor manufacturing facilities (or fabs) will be presented and discussed. The results show that, by using smart sampling, it is possible to drastically reduce various performance indicators when compared to current fab sampling.
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Communication dans un congrès
Modeling and Analysis of Semiconductor Manufacturing (MASM) 2011, Dec 2011, Phoenix, United States. pp.2-6, 2011
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Contributeur : Claude Yugma <>
Soumis le : mercredi 23 novembre 2011 - 13:06:05
Dernière modification le : mercredi 29 novembre 2017 - 10:08:08
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Claude Yugma, Stéphane Dauzère-Pérès, Jean-Loup Rouveyrol, Philippe Vialletelle, Jacques Pinaton, et al.. A SMART SAMPLING SCHEDULING AND SKIPPING SIMULATOR AND ITS EVALUATION ON REAL DATA SETS. Modeling and Analysis of Semiconductor Manufacturing (MASM) 2011, Dec 2011, Phoenix, United States. pp.2-6, 2011. 〈emse-00643965〉

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