Bayesian Control Chart for Nonconformities | Zendy

Raubenheimer L. | Zendy; Merwe A.J. | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Premium

Bayesian Control Chart for Nonconformities

Author(s) -

Raubenheimer L.,

Merwe A.J.

Publication year - 2015

Publication title -

quality and reliability engineering international

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.913

H-Index - 62

eISSN - 1099-1638

pISSN - 0748-8017

DOI - 10.1002/qre.1668

Subject(s) - chart , control chart , frequentist inference , x bar chart , poisson distribution , bayesian probability , statistics , control limits , mathematics , computer science , bayesian inference , process (computing) , operating system

The c ‐chart or the control chart for nonconformities is designed for the case where one deals with the number of defects or nonconformities observed. A control chart can be developed for the total or average number of nonconformities per unit, which is well modeled by the Poisson distribution. In this paper the c ‐chart will be studied, where the usual operation of the c ‐chart will be extended by introducing a Bayesian approach for the c ‐chart. Control chart limits, average run lengths, and false alarm rates will be determined by using a Bayesian method. These results will be compared with the results obtained when using the classical (frequentist) method. Copyright © 2014 John Wiley & Sons, Ltd.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here

Accelerating Research