This paper investigates the effects of measurement system variability arising from evaluations of process capabilities. In this work, relationships between true process capability indices, Cp,True and Cpm,True, and their corresponding observed indices, Cp,Obs and Cpm,Obs, are developed depending on the levels of type I and II errors. Moreover, the method for adjusting control chart limits used to monitor the process is proposed based on measurement system variability. An industrial case study is used to highlight the findings of this investigation and to discuss the adjustment levels that should be conducted depending on the values of type I and type II errors
Most research works related to process capability indices assume no gauge measurement errors. Howeve...
Process capability indices (PCIs), Cp, Ca, Cpk, Cpm, and Cpmk have been developed in certain manufac...
The process capability indices Cp, Cpk are widely used in the modern quality management as statistic...
International audienceThis paper investigates the effects of measurement system variability arising ...
Process capability analysis is extremely important for optimization and quality improvement. It veri...
[EN] Process capability analysis is a very effective way for improving process quality by relating p...
Process capability indices (PCIs) have been widely used in manufacturing industries to provide a qua...
[EN] The evaluation of quality of products and processes depends on the ability to obtain accurate m...
Control charts based on capability index for monitoring process parameters have received wide attent...
This thesis presents contributions within the field of process capability analysis. Process capabili...
AbstractStatistical quality control (SQC) is used by companies and industries for many reasons. For ...
The ability of a process to satisfy customer requirements is frequently measured by capability indic...
Due to their effectiveness and simplicity of use, the process capability indices Cp, Cpk, and Cpm ha...
Process capability analysis is a very effective way for improving process quality by relating proces...
Statistical quality control (SQC) is used by companies and industries for many reasons. For example,...
Most research works related to process capability indices assume no gauge measurement errors. Howeve...
Process capability indices (PCIs), Cp, Ca, Cpk, Cpm, and Cpmk have been developed in certain manufac...
The process capability indices Cp, Cpk are widely used in the modern quality management as statistic...
International audienceThis paper investigates the effects of measurement system variability arising ...
Process capability analysis is extremely important for optimization and quality improvement. It veri...
[EN] Process capability analysis is a very effective way for improving process quality by relating p...
Process capability indices (PCIs) have been widely used in manufacturing industries to provide a qua...
[EN] The evaluation of quality of products and processes depends on the ability to obtain accurate m...
Control charts based on capability index for monitoring process parameters have received wide attent...
This thesis presents contributions within the field of process capability analysis. Process capabili...
AbstractStatistical quality control (SQC) is used by companies and industries for many reasons. For ...
The ability of a process to satisfy customer requirements is frequently measured by capability indic...
Due to their effectiveness and simplicity of use, the process capability indices Cp, Cpk, and Cpm ha...
Process capability analysis is a very effective way for improving process quality by relating proces...
Statistical quality control (SQC) is used by companies and industries for many reasons. For example,...
Most research works related to process capability indices assume no gauge measurement errors. Howeve...
Process capability indices (PCIs), Cp, Ca, Cpk, Cpm, and Cpmk have been developed in certain manufac...
The process capability indices Cp, Cpk are widely used in the modern quality management as statistic...