New One-Sided EWMA t Charts without and with Variable Sampling Intervals for Monitoring the Process Mean
Joint Authors
Wang, Yan
Hu, Xuelong
Zhou, Xiaojian
Qiao, Yulong
Wu, Shu
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-26
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In statistical process control (SPC), t charts play a vital role in the monitoring of the process mean, especially when the process variance is unknown.
In this paper, two separate upper-sided and lower-sided exponentially weighted moving average (EWMA) t charts are first proposed and the Monte Carlo simulation method is used to obtain their run length (RL) properties.
Compared with the traditional one-sided EWMA t charts and several run rules t charts, the proposed charts are proven to have better performance than these competing charts.
In addition, by adding the variable sampling interval (VSI) feature to the proposed charts, the new VSI one-sided EWMA t charts are shown to detect different shift sizes in the process more efficient than the chart without VSI feature.
Finally, an example of a milk filling process illustrates the use of the charts.
American Psychological Association (APA)
Wang, Yan& Hu, Xuelong& Zhou, Xiaojian& Qiao, Yulong& Wu, Shu. 2020. New One-Sided EWMA t Charts without and with Variable Sampling Intervals for Monitoring the Process Mean. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1198086
Modern Language Association (MLA)
Wang, Yan…[et al.]. New One-Sided EWMA t Charts without and with Variable Sampling Intervals for Monitoring the Process Mean. Mathematical Problems in Engineering No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1198086
American Medical Association (AMA)
Wang, Yan& Hu, Xuelong& Zhou, Xiaojian& Qiao, Yulong& Wu, Shu. New One-Sided EWMA t Charts without and with Variable Sampling Intervals for Monitoring the Process Mean. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1198086
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1198086