Fuzzy process capability indices based on imprecise observations induced from non-normal distributions
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DOI: 10.1007/s40314-018-0657-8
Abstract: This study has developed an approach to statistical process control indices for imprecise observations induced from an arbitrary population. For this purpose, most popular non-normal process capability index was extended based on a proposed triangular… read more here.
Keywords: capability indices; fuzzy process; imprecise observations; process ... See more keywords
Fuzzy process capability indices for simple linear profile
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DOI: 10.1080/02664763.2019.1704225
Abstract: Process capability indices are numerical tools that quantify how well a process can meet customer requirements, specifications or engineering tolerances. Fuzzy logic is incorporated to deal imprecise, incomplete data along with uncertainty. This paper develops… read more here.
Keywords: capability indices; simple linear; fuzzy process; process ... See more keywords
A Literature Review on Fuzzy Process Capability Analysis
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DOI: 10.1520/jte20180038
Abstract: Process capability analysis (PCA) that can be defined as the ability of any process to satisfy customer demands expressed via specification limits (SLs) is effectively utilized as an important function of statistical process control in… read more here.
Keywords: literature; capability analysis; fuzzy process; process ... See more keywords
What can fuzziness do for capability analysis based on fuzzy data
Sign Up to like & getrecommendations! Published in 2019 at "Scientia Iranica"
DOI: 10.24200/sci.2019.52104.2537
Abstract: An advantage of process incapability index over the classical process capability index is that it provides uncontaminated separation between process accuracy and process precision. However, the value of the index is hard to be obtained… read more here.
Keywords: index; capability analysis; fuzziness capability; fuzzy process ... See more keywords