Application of robust multivariate control chart with Winsorized Mean: a case study-Reference-Cited by-同舟云学术

Application of robust multivariate control chart with Winsorized Mean: a case study

Published:2019-07-19 Issue:S1 Volume:15 Page:309-318
ISSN:1735-5702
Container-title:Journal of Industrial Engineering International
language:en
Short-container-title:J Ind Eng Int

Author:

Ariza Guerrero Angellys P.^ORCID,Barreto Pombo Rister^ORCID,Herrera Acosta Roberto J.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering

Link

http://link.springer.com/content/pdf/10.1007/s40092-019-0319-5.pdf

Reference25 articles.

1. Al-Khazaleh AMH, Al Wadi S, Ababneh F (2015) Wavelet transform asymmetric Winsorized Mean in detecting outlier values. Far East J Math Sci (FJMS) 96:339–351

2. Costa FSL, Pedroza RHP, Porto DL, Amorim MVP, Lima KMG (2015) Multivariate control charts for simultaneous quality monitoring of isoniazid and rifampicin in a pharmaceutical formulation using a portable near infrared spectrometer. J Braz Chem Soc 26:64–73. https://doi.org/10.5935/0103-5053.20140214

3. Deer HM, Beard R (2001) Effect of water pH on the chemical stability of pesticides. Utah State University Extension vol 14, pp 1–3. https://extension.usu.edu/ . Accessed 31 Jan 2019

4. Dixon WJ (1960) Simplified estimation from censored normal samples. Ann Math Stat 2:385–391

5. Du S, Lv J, Xi L (2012) On-line classifying process mean shifts in multivariate control charts based on multiclass support vector machines. Int J Prod Res 50:6288–6310. https://doi.org/10.1080/00207543.2011.631596

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. Identifying the Process Shift with Robust Control Charts in the Presence of Contamination;ITM Web of Conferences;2024

2. Analysis and Perspectives on Multivariate Statistical Process Control Charts used in the Industrial Sector: a Systematic Literature Review;Management and Production Engineering Review;2023-07-26

3. A control chart based on data depth for monitoring the variability in a multivariate process;Communications in Statistics - Simulation and Computation;2023-03-08