Monitoring combined multivariate process approaching hybrid kernel‐CUSUM analysis

2021 ◽  
Author(s):  
Karim Atashgar ◽  
Faeze Saeedian ◽  
Zahra NamAvar
Keyword(s):  
Multivariate Process ◽  
Cusum Analysis ◽  
Hybrid Kernel

Performance assessment of multivariate process using time delay matrix

2021 ◽  
Vol 98 ◽  
pp. 10-17
Author(s):  
Chun-Qing Huang ◽  
Chen-Bing Zheng ◽  
Fan Yang ◽  
Chun-Yi Su
Keyword(s):  
Time Delay ◽  
Performance Assessment ◽  
Multivariate Process ◽  
Delay Matrix

Effects of hybrid, kernel maturity, and storage period on the bacterial community in high-moisture and rehydrated corn grain silages

2020 ◽  
Vol 43 (5) ◽  
pp. 126131 ◽  
Author(s):  
Paula de Almeida Carvalho-Estrada ◽  
Juliana Fernandes ◽  
Érica Benjamim da Silva ◽  
Polyana Tizioto ◽  
Solidete de Fátima Paziani ◽  
...  
Keyword(s):  
Bacterial Community ◽  
Storage Period ◽  
High Moisture ◽  
And Storage ◽  
Corn Grain ◽  
Hybrid Kernel

New multivariate process capability indices for measuring the performance of multivariate processes subject to non-normal distributions

2015 ◽  
Vol 33 (1) ◽  
pp. 42-61 ◽  
Author(s):  
Jeh-Nan Pan ◽  
Chung-I Li ◽  
Wei-Chen Shih
Keyword(s):  
Process Capability ◽  
Process Capability Indices ◽  
Process Data ◽  
Multivariate Process ◽  
Multivariate Processes ◽  
Content Type ◽  
Normal Distributions ◽  
Normality Assumption ◽  
Capability Indices ◽  
Multivariate Manufacturing

Purpose – In the past few years, several capability indices have been developed for evaluating the performance of multivariate manufacturing processes under the normality assumption. However, this assumption may not be true in most practical situations. Thus, the purpose of this paper is to develop new capability indices for evaluating the performance of multivariate processes subject to non-normal distributions. Design/methodology/approach – In this paper, the authors propose three non-normal multivariate process capability indices (MPCIs) RNMC p , RNMC pm and RNMC pu by relieving the normality assumption. Using the two normal MPCIs proposed by Pan and Lee, a weighted standard deviation method (WSD) is used to modify the NMC p and NMC pm indices for the-nominal-the-best case. Then the WSD method is applied to modify the multivariate ND index established by Niverthi and Dey for the-smaller-the-better case. Findings – A simulation study compares the performance of the various multivariate indices. Simulation results show that the actual non-conforming rates can be correctly reflected by the proposed capability indices. The numerical example further demonstrates that the actual quality performance of a non-normal multivariate process can properly reflected by the proposed capability indices. Practical implications – Process capability index is an important SPC tool for measuring the process performance. If the non-normal process data are mistreated as a normal one, it will result in an improper decision and thereby lead to an unnecessary quality loss. The new indices can provide practicing managers and engineers with a better decision-making tool for correctly measuring the performance for any multivariate process or environmental system. Originality/value – Once the existing multivariate quality/environmental problems and their Key Performance Indicators are identified, one may apply the new capability indices to evaluate the performance of various multivariate processes subject to non-normal distributions.

A New Multivariate Process Capability Vector

2009 ◽  
Vol 21 (3) ◽  
pp. 290-299 ◽  
Author(s):  
Hamid Shahriari ◽  
Mohammadreza Abdollahzadeh
Keyword(s):  
Process Capability ◽  
Multivariate Process

Fuzzy complementary entropy using hybrid-kernel function and its unsupervised attribute reduction

2021 ◽  
Vol 231 ◽  
pp. 107398
Author(s):  
Zhong Yuan ◽  
Hongmei Chen ◽  
Xiaoling Yang ◽  
Tianrui Li ◽  
Keyu Liu
Keyword(s):  
Kernel Function ◽  
Attribute Reduction ◽  
Hybrid Kernel Function ◽  
Hybrid Kernel
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