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EWMA control charts for monitoring finite horizon processes /

by Cammarata, Valentina (Valentina Giuseppa) [aut]; Celano, Giovanni [ths]; Castagliola, Philippe [opn].
Material type: materialTypeLabelBookPublisher: Catania : Scuola Superiore di Catania, 2017Description: 106 p. : ill. ; 25 cm.Subject(s): Quality control -- Statistical methods | Process control -- Statistical methodsOnline resources: Abstract
Contents:
Introduction -- Statistical process monitoring -- Process monitoring of finite horizon processes -- Numerical analysis -- Illustrative example -- Conclusions -- Ringraziamenti -- Bibliography.
Dissertation note: Tesi di diploma di 2° livello per la Classe delle Scienze Sperimentali Diploma di 2° livello Scuola Superiore di Catania, Catania, Italy 2017 A.A. 2016/2017 Abstract: We investigate the statistical performance of an Exponentially Weighted Moving Average (EWMA) control charts for monitoring the location of a quality characteristic in a production process with a finite horizon and a small number of scheduled inspections. An extensive numerical investigation is carried out to get the statistical performance of both the EWMA t control chart for normal observations and the distribution-free EWMA Sign (SN) control chart. The property to have varying control limits at each inspection allows these EWMA control charts to be very sensitive to shifts in the location. A non-homogeneous Markov chain model is used to evaluate the statistical properties of the EWMA control charts with varying control limits. An illustrative example shows the implementation of the EWMA SN control chart on a real data set collected in a beverage company.
List(s) this item appears in: Tesi di Laurea, Diploma, Dottorato, Master
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Location Call number Status Date due
Sala B : Armadio Tesi THS_2017 658.562015195 C184 (Browse shelf) Available

Tesi di diploma di 2° livello per la Classe delle Scienze Sperimentali Diploma di 2° livello Scuola Superiore di Catania, Catania, Italy 2017 A.A. 2016/2017

Includes bibliographical references (p. 104-106).

Introduction -- Statistical process monitoring -- Process monitoring of finite horizon processes -- Numerical analysis -- Illustrative example -- Conclusions -- Ringraziamenti -- Bibliography.

Tesi discussa il 12/12/2017.

We investigate the statistical performance of an Exponentially Weighted Moving Average (EWMA) control charts for monitoring the location of a quality characteristic in a production process with a finite horizon and a small number of scheduled inspections. An extensive numerical investigation is carried out to get the statistical performance of both the EWMA t control chart for normal observations and the distribution-free EWMA Sign (SN) control chart. The property to have varying control limits at each inspection allows these EWMA control charts to be very sensitive to shifts in the location. A non-homogeneous Markov chain model is used to evaluate the statistical properties of the EWMA control charts with varying control limits. An illustrative example shows the implementation of the EWMA SN control chart on a real data set collected in a beverage company.

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