Controlled Exponentially Weighted Moving Average Chart in Cardiac Surgery: A Simulation Study Across 9 Italian Cardiac Centers

Moscarelli, Marco; Athanasiou, Thanos; Sevdalis, Nick; Vescovi, Federico; Fattouch, Khalil; Nasso, Giuseppe; Saglio, Giuseppe

doi:10.1053/j.semtcvs.2016.04.005

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2016

2022

Publication Types

Select...

Article2

Other1

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since the Shewhart's pioneering work, the control chart framework has been evolving continuously and the application of control charts has greatly increased through a wide variety of research publications. For instance, control chart has been successfully applied in applications across diverse areas, such as ceramic substrate production line [2], healthcare [3][4], financial service [5] and manufacturing industries [6][7].…”

Section: Introductionmentioning

confidence: 99%

A variable sampling interval EWMA t control chart with unknown shift size

Khoo

Yeong

et al. 2018

J. Fundam and Appl Sci.

View full text Add to dashboard Cite

The process standard deviation of charts does not need to be estimated in setting up the control limits for tracking mean differences and thus the estimation errors in the process standard However, most of the proposed control charts in the literature assumed the shift size to be known, whereby in reality the exact Therefore, this paper proposed the used o measure the performance of variable sampling interval EWMA t (VSI EWMA t) chart when the shift size could not be specifie demonstrated and the results are compa shift, VSI EWMA t chart outperforms the t chart, the VSI t chart and the EWMA t chart

show abstract