Results 101 to 110 of about 2,174 (148)

An alternative approach to fuzzy control charts: Direct fuzzy approach

Information Sciences, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cengiz Kahraman, Murat Gülbay
exaly   +3 more sources

Fuzzy theory and quality control charts

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017
Quality 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 ...
Maria Nela Pastuizaca
exaly   +2 more sources

Fuzzy Shewhart Control Charts

Studies in Fuzziness and Soft Computing, 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, Murat Gülbay, Eda Boltürk   +2 more
exaly   +2 more sources

Fuzzy EWMA and Fuzzy CUSUM Control Charts

Studies in Fuzziness and Soft Computing, 2016
Exponentially 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.
Nihal Erginel, Sevil Senturk, Erginel Nihal   +2 more
exaly   +2 more sources

Process capability analyses based on fuzzy measurements and fuzzy control charts

Expert Systems With Applications, 2011
Process performance can be analyzed by using process capability indices (PCIs), which are summary statistics to depict the process location and dispersion successfully. Although they are very usable statistics, they have some limitations which prevent a deep and flexible analysis because of the crisp measurements and specification limits (SLs).
Cengiz Kahraman, Ihsan Kaya
exaly   +4 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.
Akin Özdemir
exaly   +2 more sources

On fuzzy and probabilistic control charts

International Journal of Production Research, 2002
In this article, different procedures of constructing control charts for linguistic data, based on fuzzy and probability theory, are discussed. Three sets of membership functions, with different degrees of fuzziness, are proposed for fuzzy approaches.
Hassen Taleb, Mohamed Limam
openaire   +1 more source

Fuzzy Multinomial Control Charts

2005
Two 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
openaire   +1 more source

Fuzzy and R control charts: Fuzzy dominance approach

Computers & Industrial Engineering, 2011
The 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 ...
Ming-Hung Shu, Hsien-Chung Wu
openaire   +1 more source

An application of fuzzy random variables to control charts

Fuzzy Sets and Systems, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alireza Faraz, Arnold F. Shapiro
openaire   +3 more sources