After investigating the advantages and disadvantages of current methods of statistical process control, it becomes important to overcome the disadvantages and then use the advantages to improve a method for monitoring a process with categorical observations. An approach which considers uncertainty and vagueness is tried for this study; and for this purpose, fuzzy set theory is inevitable to use. So, a new approach based on fuzzy set theory is introduced in this research for monitoring attribute quality characteristics. This approach is then compared with the current related approach to see the difference in performance
Statistical Quality Control is a valuable strategy that applies to the statistical technique for mon...
Abstract: Control charts are the simplest type of on-line statistical process control techniques. On...
The quality improvement is of the great importance to strength a competitive position in our markets...
After investigating the advantages and disadvantages of current methods of statistical process contr...
Up to now, several methods have been proposed for monitoring processes with attribute data. These me...
Due to competition in the market, organization must have quality improvement program. Statistical qu...
The purpose of this study is to present a new approach for fuzzy control charts. The procedure is ba...
Quality characteristics measurement may include uncertainty due to randomness and fuzziness. Convent...
A method that uses statistical techniques to monitor and control product quality is called statistic...
A method that uses statistical techniques to monitor and control product quality is called statistic...
Organizations must improve or at least maintain the quality of their products to be competitive in t...
The two most significant sources of uncertainty are randomness and incomplete information. In real s...
Conventional control charts are one of the most important techniques in statistical process control ...
The quality improvement is of the great importance to strength a competitive position in our markets...
There is much uncertainty and fuzziness in product quality attributes or quality parameters of a man...
Statistical Quality Control is a valuable strategy that applies to the statistical technique for mon...
Abstract: Control charts are the simplest type of on-line statistical process control techniques. On...
The quality improvement is of the great importance to strength a competitive position in our markets...
After investigating the advantages and disadvantages of current methods of statistical process contr...
Up to now, several methods have been proposed for monitoring processes with attribute data. These me...
Due to competition in the market, organization must have quality improvement program. Statistical qu...
The purpose of this study is to present a new approach for fuzzy control charts. The procedure is ba...
Quality characteristics measurement may include uncertainty due to randomness and fuzziness. Convent...
A method that uses statistical techniques to monitor and control product quality is called statistic...
A method that uses statistical techniques to monitor and control product quality is called statistic...
Organizations must improve or at least maintain the quality of their products to be competitive in t...
The two most significant sources of uncertainty are randomness and incomplete information. In real s...
Conventional control charts are one of the most important techniques in statistical process control ...
The quality improvement is of the great importance to strength a competitive position in our markets...
There is much uncertainty and fuzziness in product quality attributes or quality parameters of a man...
Statistical Quality Control is a valuable strategy that applies to the statistical technique for mon...
Abstract: Control charts are the simplest type of on-line statistical process control techniques. On...
The quality improvement is of the great importance to strength a competitive position in our markets...