NDLI: An ARL-unbiased design of Gamma control chart

Content Provider	IEEE Xplore Digital Library
Author	Shuo Huang Jun Yang
Copyright Year	2015
Description	Author affiliation: Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China (Shuo Huang; Jun Yang)
Abstract	Gamma charts based on time-between-events (TBE) data are very useful for process monitoring in the manufacturing industry. The average run length (ARL) is widely adopted as a criterion to evaluate the performance of Gamma charts. The traditional equal-tail probability limits are often used to provide the control limits of Gamma charts, however their ARL curves will not approach their maximum values at their in-control occurrence rates. To overcome the above problem, an ARL-unbiased design for Gamma charts with known parameters is proposed. The comparison result shows that the ARL-unbiased Gamma control charts are more sensitive to systematic deterioration than the traditional charts with the equal-tail probability limits. Finally, a real example is illustrated to demonstrate the implementation of the proposed approach.
Starting Page	1
Ending Page	6
File Size	608062
Page Count	6
File Format	PDF
e-ISBN	9781467385572
DOI	10.1109/ICRSE.2015.7366498
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Gamma distribution Systematics Average run length (ARL) Control charts Reliability engineering Systems engineering and theory Mathematical model Chi-square distribution Monitoring Time between events ARL-unbiased design
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

History of observed samples: How much affects the ARL of control charts

Comments on “On Scale Parameter Monitoring of the Rayleigh Distributed Data Using a New Design”

A synthetic revised m-of-k runs rules control chart

An integrated T and TCUSUM scheme

Run-length percentiles of multivariate Poisson control charts

A new chart for monitoring service process with unknown distribution

Statistical Process Control for Small Shifts Based on Skewed Distribution

An Attribute Control Chart Based on the Birnbaum-Saunders Distribution Using Repetitive Sampling

The effect of non-normality on performance of linear profile monitoring

An ARL-unbiased design of Gamma control chart

Similar Documents

History of observed samples: How much affects the ARL of control charts

Comments on “On Scale Parameter Monitoring of the Rayleigh Distributed Data Using a New Design”

A synthetic revised m-of-k runs rules control chart

An integrated T and TCUSUM scheme

Run-length percentiles of multivariate Poisson control charts

A new chart for monitoring service process with unknown distribution

Statistical Process Control for Small Shifts Based on Skewed Distribution

An Attribute Control Chart Based on the Birnbaum-Saunders Distribution Using Repetitive Sampling

The effect of non-normality on performance of linear profile monitoring

An ARL-unbiased design of Gamma control chart