In this paper we investigate the performance of semi-empirical Bayesian control charts to monitor the percentiles and the shape parameter of a Weibull distribution. These charts have been recently introduced in literature, where it is shown how Weibull-distributed data need specifically designed control schemes and how a Bayesian approach can help in such cases. The main focus of this paper, instead, is a simulation study of the charts’ performance. To this aim, a large Monte Carlo analysis is presented, highlighting the main effects on the chart performance of single/combined changes in the Weibull parameters. Some Weibull contour plots are presented to visualize the investigated technological scenarios. An illustrative example using a reference data-set is included too.

The performance of semi-empirical Bayesian control charts for monitoring Weibull data / Erto, P.; Pallotta, G.; Palumbo, B.; Mastrangelo, C. M.. - In: QUALITY TECHNOLOGY & QUANTITATIVE MANAGEMENT. - ISSN 1684-3703. - 15:1(2018), pp. 69-86. [10.1080/16843703.2017.1304036]

The performance of semi-empirical Bayesian control charts for monitoring Weibull data

Erto P.;Pallotta G.;Palumbo B.
;
2018

Abstract

In this paper we investigate the performance of semi-empirical Bayesian control charts to monitor the percentiles and the shape parameter of a Weibull distribution. These charts have been recently introduced in literature, where it is shown how Weibull-distributed data need specifically designed control schemes and how a Bayesian approach can help in such cases. The main focus of this paper, instead, is a simulation study of the charts’ performance. To this aim, a large Monte Carlo analysis is presented, highlighting the main effects on the chart performance of single/combined changes in the Weibull parameters. Some Weibull contour plots are presented to visualize the investigated technological scenarios. An illustrative example using a reference data-set is included too.
2018
The performance of semi-empirical Bayesian control charts for monitoring Weibull data / Erto, P.; Pallotta, G.; Palumbo, B.; Mastrangelo, C. M.. - In: QUALITY TECHNOLOGY & QUANTITATIVE MANAGEMENT. - ISSN 1684-3703. - 15:1(2018), pp. 69-86. [10.1080/16843703.2017.1304036]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/812657
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 18
  • ???jsp.display-item.citation.isi??? 15
social impact