Fuzzy Approach to Statistical Control Charts

After investigating the advantages and disadvantages of current methods of statistical process control, it becomes important to overcome the disadvantages and then use the advantages to improve a method for monitoring a process with categorical observations. An approach which considers uncertainty a...

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Main Author: Sorooshian, Shahryar
Format: Article
Language:English
Published: Hindawi Publishing Corporation 2013
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/6731/
http://umpir.ump.edu.my/id/eprint/6731/1/Fuzzy_Approach_to_Statistical_Control_Charts.pdf
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author Sorooshian, Shahryar
author_facet Sorooshian, Shahryar
author_sort Sorooshian, Shahryar
building UMP Institutional Repository
collection Online Access
description After investigating the advantages and disadvantages of current methods of statistical process control, it becomes important to overcome the disadvantages and then use the advantages to improve a method for monitoring a process with categorical observations. An approach which considers uncertainty and vagueness is tried for this study; and for this purpose, fuzzy set theory is inevitable to use. So, a new approach based on fuzzy set theory is introduced in this research for monitoring attribute quality characteristics. This approach is then compared with the current related approach to see the difference in performance.
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spelling ump-67312018-02-28T02:10:40Z http://umpir.ump.edu.my/id/eprint/6731/ Fuzzy Approach to Statistical Control Charts Sorooshian, Shahryar T Technology (General) After investigating the advantages and disadvantages of current methods of statistical process control, it becomes important to overcome the disadvantages and then use the advantages to improve a method for monitoring a process with categorical observations. An approach which considers uncertainty and vagueness is tried for this study; and for this purpose, fuzzy set theory is inevitable to use. So, a new approach based on fuzzy set theory is introduced in this research for monitoring attribute quality characteristics. This approach is then compared with the current related approach to see the difference in performance. Hindawi Publishing Corporation 2013 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/6731/1/Fuzzy_Approach_to_Statistical_Control_Charts.pdf Sorooshian, Shahryar (2013) Fuzzy Approach to Statistical Control Charts. Journal of Applied Mathematics, 2013 (745153). pp. 1-6. ISSN 1110-757X (print); 1687-0042 (online). (Published) http://dx.doi.org/10.1155/2013/745153 DOI: 10.1155/2013/745153
spellingShingle T Technology (General)
Sorooshian, Shahryar
Fuzzy Approach to Statistical Control Charts
title Fuzzy Approach to Statistical Control Charts
title_full Fuzzy Approach to Statistical Control Charts
title_fullStr Fuzzy Approach to Statistical Control Charts
title_full_unstemmed Fuzzy Approach to Statistical Control Charts
title_short Fuzzy Approach to Statistical Control Charts
title_sort fuzzy approach to statistical control charts
topic T Technology (General)
url http://umpir.ump.edu.my/id/eprint/6731/
http://umpir.ump.edu.my/id/eprint/6731/
http://umpir.ump.edu.my/id/eprint/6731/
http://umpir.ump.edu.my/id/eprint/6731/1/Fuzzy_Approach_to_Statistical_Control_Charts.pdf