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Improvement Tools To Solve Quality Deviation Problems SPE 69592

By: Contributor(s): Language: Inglés Series: Grzona, Gabriel C ; Publication details: Dallas, Texas Society of Petroleum Engineers 2001Online resources: Summary: One of the fundamental requirements for success in making a process function under the concepts of Total Quality Management is to ensure that it is capable of operating with a minimum variability with respect to the quality specification objectives of the products which are produced by the process. Quality may be broadly defined in many ways, but from a strictly technical viewpoint Quality Engineering must be understood as the skill to reduce systematically the variability of the processes. It is in this context in which the Continuous Improvement Tools and particularly the Statistical Process Control, are essential for achieving World Class Quality Management. A program for the application of these tools can detect assignable causes, limit waste, improve the quality of the products, reduce or eliminate reprocessing and, even more important, establish a new process of systematic work toward continuous improvement. The present job shows both theoretically and practically how to apply these tools to solve quality deviations. Case Study: Improvement of Jet A1 quality in a Hydrocracking unit.
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One of the fundamental requirements for success in making a process function under the concepts of Total Quality Management is to ensure that it is capable of operating with a minimum variability with respect to the quality specification objectives of the products which are produced by the process. Quality may be broadly defined in many ways, but from a strictly technical viewpoint Quality Engineering must be understood as the skill to reduce systematically the variability of the processes. It is in this context in which the Continuous Improvement Tools and particularly the Statistical Process Control, are essential for achieving World Class Quality Management. A program for the application of these tools can detect assignable causes, limit waste, improve the quality of the products, reduce or eliminate reprocessing and, even more important, establish a new process of systematic work toward continuous improvement. The present job shows both theoretically and practically how to apply these tools to solve quality deviations. Case Study: Improvement of Jet A1 quality in a Hydrocracking unit.



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