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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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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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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 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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Analysis and control of variability by using fuzzy individual control charts
Applied Soft Computing, 2017Abstract The detection of changes in a process within shortest time provides significant benefits in terms of cost and quality. When considering the cost which would show up because of delays in identifying variability, detecting the deviation in the process accurately and quickly has a great importance for investors. In this paper, return volatility
Ihsan Kaya +2 more
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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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Development of fuzzy process control charts and fuzzy unnatural pattern analyses
Computational Statistics & Data Analysis, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Murat Gülbay, Cengiz Kahraman
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The design of a CUSUM control chart for LR-fuzzy data
2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013Quality characteristics are often imperfect (incomplete, censored, vague or partially unknown) in representing the quality information about products or services. Such imperfectness sometimes may be well described in vague, imprecise or linguistic way. In practice the LR-fuzzy number data are frequently recommended to be used in above cases.
Dabuxilatu Wang, Olgierd Hryniewicz
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A fuzzy control charting method for individuals
International Journal of Production Research, 2003Shewhart Statistical Quality Control (SQC) charts provide a graphical depiction and record of sample data points, to enable immediate recognition of special causes affecting the process output quality. These charts can detect changes in the mean level, and various other types of unnatural behaviour by the process.
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