Maximum hybrid exponentially weighted moving average control chart in the presence of measurement error by using auxiliary information-Reference-Cited by-同舟云学术

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Maximum hybrid exponentially weighted moving average control chart in the presence of measurement error by using auxiliary information

Published:2021-05-14 Issue:8 Volume:37 Page:3262-3281
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual. Reliab. Engng. Int.

Author:

Javaid Amjad¹^ORCID,Noor‐ul‐Amin Muhammad²^ORCID,Hanif Muhammad³

Affiliation:

1. Pakistan Bureau of Statistics, Agricultural Census Wing Lahore Pakistan

2. COMSATS University Islamabad‐Lahore Campus Defence Road Lahore 5400 Pakistan

3. Department of Statistics, National College of Business Administration and Economics Lahore Pakistan

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.2907

Reference35 articles.

1. Designing of a hybrid exponentially weighted moving average control chart using repetitive sampling

2. A New Hybrid Exponentially Weighted Moving Average Control Chart for Monitoring Process Mean

3. A New Hybrid Exponentially Weighted Moving Average Control Chart for Monitoring Process Mean: Discussion

4. A hybrid exponentially weighted moving average chart for COM-Poisson distribution

5. A HEWMA-CUSUM control chart for the Weibull distribution

Cited by 6 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. Performance of Bayesian EWMA control chart with measurement error under ranked set sampling schemes with application in industrial engineering;Scientific Reports;2023-08-28

2. A high-dimensional control chart for monitoring process variability under gauge imprecision effect;Production Engineering;2022-12-23

3. Process Capability Cp Assessment for Auto-Correlated Data in the Presence of Measurement Errors;International Journal of Reliability, Quality and Safety Engineering;2022-11-16

4. A review and critique of auxiliary information-based process monitoring methods;Quality Technology & Quantitative Management;2022-08-08

5. Performance of Multivariate Homogeneously Weighted Moving Average Chart for Monitoring the Process Mean in the Presence of Measurement Errors;Journal of Advanced Manufacturing Systems;2022-02-26

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