Add to ORKGGauge measurement error is often an important source of variability in manufacturing applications. The aim of this work is to study the effect of multivariate measurement errors on multivariate capability indices computed using the principal component analysis. The results show that gauge imprecision may alter the multivariate process capability analysis and that the effect may be either a decrease or an increase in the apparent capability of the process
Most research works related to process capability indices assume no gauge measurement errors. Howeve...
In manufacturing environment, critical decisions about process and product quality depend on the qua...
In the context of process capability analysis, the results of most processes are dominated by two or...
Gauge measurement error is often an important source of variability in manufacturing applications. ...
none1noVarious different definitions of multivariate process capability indices have been proposed i...
Alternative definitions of Multivariate Process Capability Indices (MPCIs), based on different appro...
This paper studies the effects of multivariate measurement errors on multivariate capability indices...
This paper studies the effects of multivariate measurement errors on mul- tivariate capability indi...
This paper studies the effects of multivariate measurement errors on mul- tivariate capability indic...
Process capability indices (PCIs) have been widely used in manufacturing industries to provide a qua...
Due to their effectiveness and simplicity of use, the process capability indices Cp, Cpk, and Cpm ha...
This paper presents a new multivariate process capability index (MPCI) which is based on the princip...
none2The assessment of the capability of a measurement system is an important aspect of most process...
[[abstract]]The effect of measurement error on the performance of two control chart schemes, derived...
In the manufacturing industry, many product characteristics are of one-sided tolerances. The process...
Most research works related to process capability indices assume no gauge measurement errors. Howeve...
In manufacturing environment, critical decisions about process and product quality depend on the qua...
In the context of process capability analysis, the results of most processes are dominated by two or...
Gauge measurement error is often an important source of variability in manufacturing applications. ...
none1noVarious different definitions of multivariate process capability indices have been proposed i...
Alternative definitions of Multivariate Process Capability Indices (MPCIs), based on different appro...
This paper studies the effects of multivariate measurement errors on multivariate capability indices...
This paper studies the effects of multivariate measurement errors on mul- tivariate capability indi...
This paper studies the effects of multivariate measurement errors on mul- tivariate capability indic...
Process capability indices (PCIs) have been widely used in manufacturing industries to provide a qua...
Due to their effectiveness and simplicity of use, the process capability indices Cp, Cpk, and Cpm ha...
This paper presents a new multivariate process capability index (MPCI) which is based on the princip...
none2The assessment of the capability of a measurement system is an important aspect of most process...
[[abstract]]The effect of measurement error on the performance of two control chart schemes, derived...
In the manufacturing industry, many product characteristics are of one-sided tolerances. The process...
Most research works related to process capability indices assume no gauge measurement errors. Howeve...
In manufacturing environment, critical decisions about process and product quality depend on the qua...
In the context of process capability analysis, the results of most processes are dominated by two or...