NDLI: Interpreting the out-of-control signal in multivariate control chart

Content Provider	Springer Nature Link
Author	Das, Nandini Prakash, Vinay
Copyright Year	2007
Abstract	Interpretation of the out-of-control signal poses a persistent problem in multivariate control chart owing to the limitations of available general methods like Hotelling T2. Many research papers address these problems and present alternative approaches to diagnose faults in out-of-control conditions and to help identify aberrant variables. This work reviews the different methods and attempts to make a comparative study of some of these methods viz. Mason, Tracy and Young method (Journal of Quality Technology 27:99–108, 1995), Murphy method (The Statistician 36:571–583, 1987), Hawkins method (Technometrics 33:61–75, 1991) and Doganaksoy, Faltin and Tucker method (Communications in Statistics — Theory and Methods 20:2775–2790, 1991). A simulation approach was taken to generate data on various out of control situation and to compare the powers of different targeted methods. In control sate was characterised by a multi-variate normal with standardised mean and variance assuming intra-class correlation structure. Data were generated for different values of correlation and various out of control situation with respect to the shift of mean in one, two or more variables. Due to the limitations of using average run length as a performance criterion especially in case of skewed distribution of run length it was decided to use power as a measure of comparison. Situations in which the particular method works satisfactorily were identified with respect to correlation structure and pattern of shift of mean.
Starting Page	966
Ending Page	979
Page Count	14
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	37
Issue Number	9-10
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2007-04-24
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Hotelling T2 Correlation structure Diagnostic test Power of the test Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering Production/Logistics Industrial and Production Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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

Integrating multivariate engineering process control and multivariate statistical process control

A transformation-based multivariate chart to monitor process dispersion

SXC control chart

Fuzzy multivariate exponentially weighted moving average control chart

Developing a fuzzy multivariate CUSUM control chart to monitor multinomial linguistic quality characteristics

Control chart system with independent quality characteristics

Monitoring multivariate–attribute processes based on transformation techniques

A special variable sample size and sampling interval Hotelling’s T 2 chart

Performance evaluation on manufacturing times

Interpreting the out-of-control signal in multivariate control chart — a comparative study

Similar Documents

Integrating multivariate engineering process control and multivariate statistical process control

A transformation-based multivariate chart to monitor process dispersion

SXC control chart

Fuzzy multivariate exponentially weighted moving average control chart

Developing a fuzzy multivariate CUSUM control chart to monitor multinomial linguistic quality characteristics

Control chart system with independent quality characteristics

Monitoring multivariate–attribute processes based on transformation techniques

A special variable sample size and sampling interval Hotelling’s T 2 chart

Performance evaluation on manufacturing times

Interpreting the out-of-control signal in multivariate control chart — a comparative study