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Multivariate Fuzzy Multinomial Control Charts
Quality Technology & Quantitative Management, 2006AbstractTwo approaches for constructing control charts to monitor multivariate attribute processes when data set is presented in linguistic form are suggested. Two monitoring statistics T2f and W2 are developed based on fuzzy and probability theories.
Hassen Taleb +2 more
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Fuzzy and R control charts: Fuzzy dominance approach
Computers & Industrial Engineering, 2011The statistical process control (SPC), an internationally recognized technique for improving products quality and productivity, has been widely employed throughout various industries. The SPC relies on the use of control charts to monitor a manufacturing process for identifying special causes in the process variation and signaling the necessity of a ...
Hsien-Chung Wu, Ming-Hung Shu
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Fuzzy EWMA and Fuzzy CUSUM Control Charts
2016Exponentially Weighted Moving- Averages (EWMA) and Cumulative-Sum (CUSUM) control charts have the ability of detecting small shifts in the process mean. Classical EWMA and CUSUM charts are not capable to capture the uncertainty in case of incomplete data.
Erginel, Nihal, Şentürk, Sevil
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2016
Process Control is the active correction of a process based on the results of process monitoring. Once the process monitoring tools have detected an assignable cause, this cause is removed to bring the process back into control. This chapter presents the process control techniques under fuzziness.
Cengiz Kahraman +2 more
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Process Control is the active correction of a process based on the results of process monitoring. Once the process monitoring tools have detected an assignable cause, this cause is removed to bring the process back into control. This chapter presents the process control techniques under fuzziness.
Cengiz Kahraman +2 more
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Fuzzy Multinomial Control Charts
2005Two approaches for constructing control charts to monitor multivariate attribute processes when data is presented in linguistic form are suggested. Two monitoring statistics T and W2 are developed based on fuzzy and probability theories. The first is similar to the Hotteling's T2 statistic and is based on representative values of fuzzy sets.
Hassen Taleb, Mohamed Limam
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FUZZY REGRESSION CONTROL CHART
Computational Intelligence in Decision and Control, 20088th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science -- SEP 21-24, 2008 -- Madrid ...
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Fuzzy Control Charts based on Ranking of Pentagonal Fuzzy Numbers
2023A Control Chart is a fundamental approach in Statistical Process Control. When uncommon causes of variability are present, sample averages will plot beyond the control boundaries, making the control chart a particularly effective process monitoring approach.
Ahmad, Mohammad +4 more
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2011
Ο Στατιστικός Έλεγχος Ποιότητας, είναι η πιο δημοφιλής εφαρμογή των στατιστικών μεθόδων με αποδεδειγμένα πολλές πρακτικές εφαρμογές. Η Στατιστική ∆ιαδικασία Ελέγχου, είναι ο πιο σημαντικός τομέας του Στατιστικού Ελέγχου Ποιότητας με κύρια εργαλεία, τα διαγράμματα ελέγχου.
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Ο Στατιστικός Έλεγχος Ποιότητας, είναι η πιο δημοφιλής εφαρμογή των στατιστικών μεθόδων με αποδεδειγμένα πολλές πρακτικές εφαρμογές. Η Στατιστική ∆ιαδικασία Ελέγχου, είναι ο πιο σημαντικός τομέας του Στατιστικού Ελέγχου Ποιότητας με κύρια εργαλεία, τα διαγράμματα ελέγχου.
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Fuzzy Control Chart A Better Alternative for Shewhart Average Chart
Quality & Quantity, 2006This paper through a real illustrative example and a power test shows that designing a fuzzy control chart for process average of a continuous (variable) quality characteristic with a warning line is a better alternative to Shewhart \(\bar{X}\) chart in many respects, like providing better neural view to inspectors, offering different strategic options
Faraz, Alireza, MOGHADAM, M. B.
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Fuzzy theory and quality control charts
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017Quality control charts are one of the most important tools of statistical process control, used to analyze the behavior of different processes and to predict possible production failures. The use of a fuzzy approach in the design of control charts has allowed to improve the performance of traditional charts, as well as to be possible of a simple ...
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