Optimizing the quality control of multivariate processes under an improved Mahalanobis–Taguchi system-Reference-Cited by-同舟云学术

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Optimizing the quality control of multivariate processes under an improved Mahalanobis–Taguchi system

Published:2022-12-13 Issue: Volume: Page:1-17
ISSN:0898-2112
Container-title:Quality Engineering
language:en
Short-container-title:Quality Engineering

Author:

Sun Yefang¹^ORCID,Younis Ijaz²³,Zhang Yueyi¹^ORCID,Zhou Hui¹

Affiliation:

1. School of Economics and Management, China Jiliang University, Hangzhou, PR China

2. School of Economics and Management, Nanjing University of Science and Technology, Nanjing, PR China

3. Business of School, Liaocheng University, Liaocheng, PR China

Funder

National Social Science Foundation of China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Link

https://www.tandfonline.com/doi/pdf/10.1080/08982112.2022.2146511

Reference51 articles.

1. Improving particle swarm optimization via adaptive switching asynchronous – synchronous update

2. Stochastic Support Vector Machine for Classifying and Regression of Random Variables

3. A review of dispersion control charts for multivariate individual observations

4. A survey on multi-output regression

5. Multivariate charting techniques: a review and a line-column approach

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A multivariate process quality correlation diagnosis method based on grouping technique;Scientific Reports;2024-06-08

2. Algorithm for Correlation Diagnosis in Multivariate Process Quality Based on the Optimal Typical Correlated Component Pair Group;Processes;2024-03-25

3. Algorithm for Correlation Diagnosis in Multivariate Process Quality Based on Optimal Typical Correlated Component Pairs Group;2023-11-24

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