![](/images/graphics-bg.png)
Statistical Design of an Adaptive Synthetic X- Control Chart with Run Rule on Service and Management Operation
Joint Authors
Yu, Shucheng
Wan, Qiang
Wei, Zhenghong
Tang, Tianbo
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-12-04
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
An improved synthetic X- control chart based on hybrid adaptive scheme and run rule scheme is introduced to enhance the statistical performance of traditional synthetic X- control chart on service and management operation.
The proposed scientific hybrid adaptive schemes consider both variable sampling interval and variable sample size scheme.
The properties of the proposed chart are obtained using Markov chain approach.
An extensive set of numerical results is presented to test the effectiveness of the proposed model in detecting small and moderate shifts in the process mean.
The results show that the proposed chart is quicker than the standard synthetic X- chart and CUSUM chart in detecting small and moderate shifts in the process of service and management operation.
American Psychological Association (APA)
Yu, Shucheng& Wan, Qiang& Wei, Zhenghong& Tang, Tianbo. 2016. Statistical Design of an Adaptive Synthetic X- Control Chart with Run Rule on Service and Management Operation. Scientific Programming،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1118418
Modern Language Association (MLA)
Yu, Shucheng…[et al.]. Statistical Design of an Adaptive Synthetic X- Control Chart with Run Rule on Service and Management Operation. Scientific Programming No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1118418
American Medical Association (AMA)
Yu, Shucheng& Wan, Qiang& Wei, Zhenghong& Tang, Tianbo. Statistical Design of an Adaptive Synthetic X- Control Chart with Run Rule on Service and Management Operation. Scientific Programming. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1118418
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118418