Optimal economic statistical design of adaptive attribute control charts for monitoring three level products. Issue 5 (3rd September 2021)
- Record Type:
- Journal Article
- Title:
- Optimal economic statistical design of adaptive attribute control charts for monitoring three level products. Issue 5 (3rd September 2021)
- Main Title:
- Optimal economic statistical design of adaptive attribute control charts for monitoring three level products
- Authors:
- Katebi, Mehdi
Rahim, Abdur - Abstract:
- ABSTRACT: Three level control charts are used to monitor processes, where the quality of products is characterized by classifying the product characteristic into three discrete levels. Recent studies have approved the advantages of using adaptive schemes rather than static one in monitoring such processes. In this paper, we develop adaptive control charts for monitoring three level products from an economic statistical perspective. Using numerical examples, we illustrate the performance of the proposed models. A sensitivity analysis is also carried out to investigate the effects of model parameters on the solution of the economic design by using the design of experiments (DOE) technique and multiple linear regression analysis method.
- Is Part Of:
- Quality technology & quantitative management. Volume 18:Issue 5(2021)
- Journal:
- Quality technology & quantitative management
- Issue:
- Volume 18:Issue 5(2021)
- Issue Display:
- Volume 18, Issue 5 (2021)
- Year:
- 2021
- Volume:
- 18
- Issue:
- 5
- Issue Sort Value:
- 2021-0018-0005-0000
- Page Start:
- 597
- Page End:
- 619
- Publication Date:
- 2021-09-03
- Subjects:
- Adaptive control charts -- three-level classification -- quality value function -- adjusted average time to signal -- Markov chain
Quality control -- Periodicals
Quality control -- Statistical methods -- Periodicals
Industrial management -- Periodicals
Industrial management
Management -- Research -- Methodology -- Periodicals
Qualitative research -- Periodicals
Management
Quality control
Quality control -- Statistical methods
Periodicals
658.00721 - Journal URLs:
- http://rzblx1.uni-regensburg.de/ezeit/warpto.phtml?colors=7&jour_id=109045 ↗
http://ezproxy.canterbury.ac.nz/login?url=http://www.tandfonline.com/openurl?genre=journal&stitle=ttqm20 ↗
http://www.tandfonline.com/openurl?genre=journal&stitle=ttqm20 ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/16843703.2021.1930344 ↗
- Languages:
- English
- ISSNs:
- 1684-3703
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19418.xml