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Monitoring compositional data using multivariate exponentially weighted moving average scheme

Published:2018-01-23 Issue:3 Volume:34 Page:391-402
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual Reliab Engng Int

Author:

Tran Kim Phuc¹²^ORCID,Castagliola Philippe³^ORCID,Celano Giovanni⁴,Khoo Michael B. C.⁵

Affiliation:

1. Division of Data Science; Ton Duc Thang University; Ho Chi Minh City Vietnam

2. Faculty of Information Technology; Ton Duc Thang University; Ho Chi Minh City Vietnam

3. Université de Nantes and LS2N UMR CNRS 6004; Nantes France

4. Università di Catania; Catania Italy

5. School of Mathematical Sciences; Universiti Sains Malaysia; Penang Malaysia

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Reference41 articles.

1. Monitoring delivery chains using multivariate control charts;Faraz;Eur J Operational Res,2013

2. A new exponentially weighted moving average control chart for monitoring the coefficient of variation;Zhang;Comput Ind Eng,2014

3. Multivariate control charts based on the James-Stein estimator;Wang;Eur J Operational Res,2015

4. The efficiency of CUSUM schemes for monitoring the coefficient of variation;Tran;Appl Stochastic Models Bus Ind,2016

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