ENBIS-24 Leuven Conference

Session

Statistical Process control 1

16 Sept 2024, 14:35

Leuven, Belgium

Conveners

Statistical Process control 1

• Mostafa Reisi Gahrooei (University of Florida)

6. Omnibus Control Charts for Poisson Counts

Prof. Christian Weiß (Helmut Schmidt University)

16/09/2024, 14:35

Process modelling and Control

Existing control charts for Poisson counts are tailor-made for detecting changes in the process mean while the Poisson assumption is not violated. But if the mean changes together with the distribution family, the performance of these charts may deviate considerably from the expected out-of-control behavior. In this research, omnibus control charts for Poisson counts are developed, which are...

9. CUSUM Charts based on Individual Observations for Monitoring a Shifted Exponential Process

Dr Athanasios Rakitzis (University of Piraeus, Department of Statistics and Insurance Science)

16/09/2024, 14:55

Process modelling and Control

The shifted (or two-parameter) exponential distribution is a well-known model for lifetime data with a warranty period. Apart from that, it is useful in modelling survival data with some flexibility due to its two-parameter representation. Control charts for monitoring a process that it is modeled as a shifted exponential distribution have been studied quite extensively in the recent...

12. The EWMA Control Chart for Monitoring the Ratio of Variances

Prof. Su-Fen Yang (National Chengchi University)

16/09/2024, 15:15

Process modelling and Control

This article constructs a control chart for monitoring a ratio of two variances within a bivariate-distributed population. For an in-control process, we assume the in-control two variances and the covariance of the bivariate-distributed population are known. The ratio of two variances is equivalent to a difference of the two variances. An unbiased estimator of the difference between the two...