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Toward a dynamic, operational and "embeded knowledge" manufacturing improvement

Samuel Bassetto 
Abstract : Industrial production of manufactured goods enables, through a well designed organization and adapted actions, to raise quality of thousand products at the highest level. This thesis is involved in quality continuous improvement by actions on manufacturing systems. It is applied to integrated circuit manufactures. These industries are constrained by a high product turn rate, a short period of time of high leveled return on investments, a customer requirement of high level of quality, a requirement of profitability for research and production facilities. These industries are facing short cycle time for learning and mastering their technologies while maximizing their benefits. That is why constant quality improvement is a strategic goal for theses industries. Quality cannot be only announced but have also to be operationally applied and to go over domain constraints. For that, we propose an enterprise model to qualify and improve manufacturing system in a dynamic and operational manner so as sustaining business knowledge and improving business excellence. The model is built from results of our two industrial study cases. The dissertation starts with a presentation of process control and its main objective. The second chapter deals with operational risks management. The third chapter deals with statistical process control of plant's facilities. The enterprise model is then built in the fourth chapter by aggregating results form the two previous analyses. Recommendation for the model implementation to other industries concludes the dissertation.
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Submitted on : Thursday, July 21, 2005 - 8:00:00 AM
Last modification on : Friday, October 23, 2020 - 4:33:16 PM
Long-term archiving on: : Thursday, September 30, 2010 - 6:39:42 PM


  • HAL Id : pastel-00001331, version 1



Samuel Bassetto. Toward a dynamic, operational and "embeded knowledge" manufacturing improvement. Humanities and Social Sciences. Arts et Métiers ParisTech, 2005. English. ⟨NNT : 2005ENAM0009⟩. ⟨pastel-00001331⟩



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