Results 261 to 270 of about 641,383 (315)
Some of the next articles are maybe not open access.
Quality Technology & Quantitative Management, 2022
Process capability index (PCI) is widely used to evaluate the process capability in various industries. In this article, generalized confidence intervals (GCIs) of two widely used percentile-based PCIs for the inverse Gaussian (IG) distribution are ...
Baocai Guo +3 more
semanticscholar +1 more source
Process capability index (PCI) is widely used to evaluate the process capability in various industries. In this article, generalized confidence intervals (GCIs) of two widely used percentile-based PCIs for the inverse Gaussian (IG) distribution are ...
Baocai Guo +3 more
semanticscholar +1 more source
Robust process capability indices for multiple linear profiles
Quality and Reliability Engineering International, 2021In some statistical process control applications, the quality of a process is described by a linear relationship between the response variable(s) and the independent variable(s), which is called a linear profile. Process capability is a significant issue
S. Mehri +3 more
semanticscholar +1 more source
Developing loss-based functional process capability indices for simple linear profile
Journal of Statistical Computation and Simulation, 2021Process capability of simple linear profiles (SLPs) has been already measured by functional process capability indices ( and ), which are unable to distinguish between on-target and off-target processes.
A. Pakzad +2 more
semanticscholar +1 more source
Robust process capability indices
Omega, 1998Many organizations are mandating the use of process capability indices to measure and reduce variability. Managers may find the use of such indices as unreliable when the interaction of the dependency structure and outliers mask potential assignable causes of variation.
Sameer Prasad, Tom Bramorski
openaire +1 more source
A process capability indicator
Total Quality Management, 1993A new measure of process capability, called process capability indicator and denoted by C1is proposed. It is of the form C1=deviation indicator (DI)+w×variation indicator (VI), where DI and VI, are, respectively, measures of the deviation of the process mean from the target value and the process variation, and both are relative to the tolerance.
Lai K. Chan, T. K. Mak
openaire +1 more source
PROCESS IMPROVEMENT USING FUZZY ROBUST PROCESS CAPABILITY INDICES
Computational Intelligence in Decision and Control, 2008Process performance can be analyzed by using process capability indices (PCIs) successfully. They are summary statistics to depict the process situation. PCIs have not reliable results if the process observations have correlation. In this paper, PCIs called Robust Process Capability Indices (RPCIs) are analyzed unlike traditional PCIs.
Kahraman, Cengiz, Kaya, İhsan
openaire +4 more sources
Model‐based process capability indices: The dry‐etching semiconductor case study
Quality and Reliability Engineering International, 2020Process capability indices are widely used to check quality standards both at the production level and for business activity. They consider the location and the deviation from specification limits and targets.
R. Borgoni, D. Zappa
semanticscholar +1 more source
Probability-Based Process Capability Indices
Communications in Statistics - Simulation and Computation, 2009This article deals with alternative process capability indices (PCIs) to traditional basic PCIs C p , C pk , and C pm based on different fraction conforming type of probabilities. In view of various problems of constructing capability indices for univariate as well as multivariate set up, these alternative PCIs are very useful as compared to C p , C pk
K. G. Khadse, R. L. Shinde
openaire +1 more source
Quality Engineering
For many data analytics studies, summarizing the “bottom line” with only a few statistics is very tempting. This is often done to simplify communication and maximize the impact of the outcome. On the other hand, failing to consider the efforts behind the
Mahmut Onur Karaman, Murat Kulahci
semanticscholar +1 more source
For many data analytics studies, summarizing the “bottom line” with only a few statistics is very tempting. This is often done to simplify communication and maximize the impact of the outcome. On the other hand, failing to consider the efforts behind the
Mahmut Onur Karaman, Murat Kulahci
semanticscholar +1 more source
On properties of probability‐based multivariate process capability indices
Quality and Reliability Engineering International, 2020Multivariate process capability indices (MPCIs) have been proposed to measure multivariate process capability in real‐world application over the past three decades.
Kailas Govinda Khadse, A. K. Khadse
semanticscholar +1 more source