Results 251 to 260 of about 9,783,179 (285)
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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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Monitoring Welding Discontinuities with Fuzzy Control Chart
Advanced Materials Research, 2014Over the past few years, several extensions of the traditional control charts have been proposed to adapt to the fuzziness inevitably existing in practical manufacturing processes. This paper proposed a fuzzy u chart to monitor the nonconformity of industrial products.
Ming Hung Shu +5 more
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Fuzzy analysis for higher effectiveness of control chart
International Journal of Quality and Innovation, 2011This paper addresses the problems occurring in the control chart and develops a new way to improve the evaluation process of this widely used tool. Classical limitation of control chart is its inability to accurately diagnose the out of control situation. In the Shewhart's control chart, the effects of the variation of the process points plotted on the
Golam Kabir +2 more
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Fuzzy multinomial control chart and its application
AIP Conference Proceedings, 2016Control chart is a technique that has been used widely in industry and services. P chart is the simplest control chart. In this chart, item is classified into two categories as either conforming and non conforming. This chart based on binomial distribution.
null Wibawati +3 more
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Fuzzy rules for fuzzy $\overline{X}$ and $R$ control charts
2014Statistical process control ($SPC$), an internationally recognized technique for improving product quality and productivity, has been widely employed in various industries. $SPC$ relies on the use of control charts to monitor a manufacturing process for identifying causes of process variation and signaling the necessity of corrective action for the ...
Khademi, M., Amirzadeh, V.
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