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Attribute Control Chart Development by Evidential Reasoning
Islamic Azad University Karaj Branch, Iran.
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0002-8524-3321
University of Kharazmi, Tehran, Iran.
2014 (English)In: Proceedings of The 3rd international workshop and congress on eMaintenance, 2014, 37-40 p.Conference paper, Published paper (Refereed)
Abstract [en]

Attributes charts are commonly used in monitoring quality characteristics of the proportion type and these charts assume that the monitored characteristics are binomially distributed. Classical control charts need to certain and precise data. However, in practice, quality experts express their opinion in imprecise form, which in turn, add more uncertainty and ambiguity. It is essential to properly represent and interpret uncertain information to evaluate product items. In this paper, the evidential reasoning (ER) based approach has been developed for supporting this uncertainty. So the belief multinomial p-control chart is introduced for monitoring the production process in the uncertainty condition, using evidence theory and the belief structure. A numerical example showing production process evaluation is examined by using the ER approach. The results show the proposed approach, is effective not only for reducing production defective but also for increasing the certainty in interpreting of quality variables (data).

Place, publisher, year, edition, pages
2014. 37-40 p.
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:mdh:diva-26438ISBN: 978-91-7439-972-1 (print)OAI: oai:DiVA.org:mdh-26438DiVA: diva2:760013
Conference
The 3rd International Workshop & Congress on eMaintenance, Luleå University of Technology,Sweden 17-18 June 2014
Projects
XPRES
Available from: 2014-11-02 Created: 2014-10-31 Last updated: 2014-11-03Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • Other style
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Language
  • de-DE
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  • en-US
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  • nn-NO
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