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There have been numerous measures proposed to quantify the capability of a process using statistics such as C p , C pk , and C pm . There are even tests of hypothesis to see if the calculated C p or C pk exceeds some constant. However, there are few quantitative summaries to use as a starting point to assess the overall in-control performance of a process. In this article, we propose three measures that can be used to assess the stability of a process and classify the process parameter as stable or unstable. Test criteria for each of the three measures are suggested, and their overall performance under certain conditions are studied. These concepts are demonstrated using three case studies that are detailed throughout the article.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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