Results 251 to 260 of about 41,221 (283)

Monitoring Welding Discontinuities with Fuzzy Control Chart

Advanced Materials Research, 2014
Over 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, Chuang Chi Chiu, Thanh Lam Nguyen, Bi Min Hsu, Wen I Hsiao, Thanh Hien Lam   +5 more
openaire   +1 more source

Fuzzy multinomial control chart and its application

AIP Conference Proceedings, 2016
Control 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, Muhammad Mashuri, null Purhadi, null Irhamah   +3 more
openaire   +1 more source

Intuitionistic Fuzzy C-Control Charts Using Fuzzy Comparison Methods

2019
Control chart is a quality branch that provides information about the process. Fuzzy logic theory is suitable especially for non-measurable data. Using of fuzzy sets for control charts is reasonable given that the data are subjective for qualitative control charts. For this reason, studies of fuzzy control charts are included in the literature.
Hatice Ercan-Teksen, Ahmet Sermet Anagün   +1 more
openaire   +1 more source

Design of Fuzzy U Control Charts

2011
When expressing any data in linguistic terms related to a quality characteristic, traditional statistical techniques are insufficient to capture the vagueness in the data. Linguistic data can be transformed into numerical values to handle them with traditional statistical techniques by using the fuzzy set theory.
Şentürk, Sevil, Erginel, Nihal, Kaya, İhsan, Kahraman, Cengiz   +3 more
openaire   +2 more sources

Development of fuzzy $$ \bar{X} - S $$ control charts with unbalanced fuzzy data

Soft Computing, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Fuzzy assignable cause diagnosis of control chart patterns

NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society, 2008
Control chart patterns, besides determining the presence of assignable causes, also provide hints on the nature of assignable cause present. But relating the patterns exhibited on the control chart to assignable causes is an ambiguous and vague task especially when multiple patterns co-exist.
K. Demirli, S. Vijayakumar
openaire   +1 more source

A fuzzy control charting method for individuals

International Journal of Production Research, 2003
Shewhart 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.
openaire   +1 more source

Fuzzy multivariate exponentially weighted moving average control chart

The International Journal of Advanced Manufacturing Technology, 2009
Traditional multivariate control charts such as Hotelling’s χ2 and T2 control charts are designed to monitor vectors of variable quality characteristics. However, in certain situations, data are expressed in linguistic terms and, under these circumstances, variable or attribute multivariate control charts are not suitable choices for monitoring ...
Hossein Alipour, Rassoul Noorossana
openaire   +1 more source

Fuzzy rules for fuzzy $\overline{X}$ and $R$ control charts

2014
Statistical 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.
openaire   +1 more source

Fuzzy individual and moving range control charts with α-cuts

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 2008
In Statistical Process Control (SPC), both variable and attribute control charts are widely used techniques to monitor and evaluate the process with respect to the related quality characteristics. In variable control charts, quality characteristics are measured on a numerical scale, using two main parameters mean and standard deviation.
openaire   +2 more sources