Construction of fuzzy control charts by using triangular and gaussian fuzzy numbers for solder paste thickness

Control chart is one of the seven problem solving tools in Statistical Process Control (SPC) and become a very popular technique in improving productivity, preventing defects and avoid purposeless process adjustment. Real data or problems nowadays are too complicated to handle and the difficulty inv...

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Main Author:	Ahmad Basri, Nur Ain Zafirah
Format:	Thesis
Language:	English English English
Published:	2018
Subjects:	QA150-272.5 Algebra
Online Access:	http://eprints.uthm.edu.my/321/1/24p%20NUR%20AIN%20ZAFIRAH%20AHMAD%20BASRI.pdf http://eprints.uthm.edu.my/321/2/NUR%20AIN%20ZAFIRAH%20AHMAD%20BASRI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/321/3/NUR%20AIN%20ZAFIRAH%20AHMAD%20BASRI%20WATERMARK.pdf
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spelling	my-uthm-ep.3212021-07-21T04:44:13Z Construction of fuzzy control charts by using triangular and gaussian fuzzy numbers for solder paste thickness 2018-01 Ahmad Basri, Nur Ain Zafirah QA150-272.5 Algebra Control chart is one of the seven problem solving tools in Statistical Process Control (SPC) and become a very popular technique in improving productivity, preventing defects and avoid purposeless process adjustment. Real data or problems nowadays are too complicated to handle and the difficulty involves with the level of uncertainty which might come from human, measurement devices or environmental conditions. This study aims to generate fuzzy numbers by using triangular and Gaussian approaches and to analyse the algorithm of fuzzy control charts by using α-cut and to analyse the algorithm of traditional control charts of -R and -S towards the solder paste thickness of integrated circuit data. The fuzzy numbers were generated by using random number between 0 to 1.2% for each observation. Next, performance of these control charts are compared by using average run length (ARL) to select the best chart to control the production process. Results showed that the new fuzzy control charts by using Gaussian fuzzy numbers are the best chart in monitoring the solder paste thickness showed by the lowest value of ARL compared to fuzzy control charts by using triangular fuzzy numbers and traditional control charts. Therefore, this fuzzy control charts by using Gaussian fuzzy numbers can be used to monitor the quality of a product. 2018-01 Thesis http://eprints.uthm.edu.my/321/ http://eprints.uthm.edu.my/321/1/24p%20NUR%20AIN%20ZAFIRAH%20AHMAD%20BASRI.pdf text en public http://eprints.uthm.edu.my/321/2/NUR%20AIN%20ZAFIRAH%20AHMAD%20BASRI%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/321/3/NUR%20AIN%20ZAFIRAH%20AHMAD%20BASRI%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Faculty of Applied Sciences and Technology
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	QA150-272.5 Algebra
spellingShingle	QA150-272.5 Algebra Ahmad Basri, Nur Ain Zafirah Construction of fuzzy control charts by using triangular and gaussian fuzzy numbers for solder paste thickness
description	Control chart is one of the seven problem solving tools in Statistical Process Control (SPC) and become a very popular technique in improving productivity, preventing defects and avoid purposeless process adjustment. Real data or problems nowadays are too complicated to handle and the difficulty involves with the level of uncertainty which might come from human, measurement devices or environmental conditions. This study aims to generate fuzzy numbers by using triangular and Gaussian approaches and to analyse the algorithm of fuzzy control charts by using α-cut and to analyse the algorithm of traditional control charts of -R and -S towards the solder paste thickness of integrated circuit data. The fuzzy numbers were generated by using random number between 0 to 1.2% for each observation. Next, performance of these control charts are compared by using average run length (ARL) to select the best chart to control the production process. Results showed that the new fuzzy control charts by using Gaussian fuzzy numbers are the best chart in monitoring the solder paste thickness showed by the lowest value of ARL compared to fuzzy control charts by using triangular fuzzy numbers and traditional control charts. Therefore, this fuzzy control charts by using Gaussian fuzzy numbers can be used to monitor the quality of a product.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Ahmad Basri, Nur Ain Zafirah
author_facet	Ahmad Basri, Nur Ain Zafirah
author_sort	Ahmad Basri, Nur Ain Zafirah
title	Construction of fuzzy control charts by using triangular and gaussian fuzzy numbers for solder paste thickness
title_short	Construction of fuzzy control charts by using triangular and gaussian fuzzy numbers for solder paste thickness
title_full	Construction of fuzzy control charts by using triangular and gaussian fuzzy numbers for solder paste thickness
title_fullStr	Construction of fuzzy control charts by using triangular and gaussian fuzzy numbers for solder paste thickness
title_full_unstemmed	Construction of fuzzy control charts by using triangular and gaussian fuzzy numbers for solder paste thickness
title_sort	construction of fuzzy control charts by using triangular and gaussian fuzzy numbers for solder paste thickness
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Faculty of Applied Sciences and Technology
publishDate	2018
url	http://eprints.uthm.edu.my/321/1/24p%20NUR%20AIN%20ZAFIRAH%20AHMAD%20BASRI.pdf http://eprints.uthm.edu.my/321/2/NUR%20AIN%20ZAFIRAH%20AHMAD%20BASRI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/321/3/NUR%20AIN%20ZAFIRAH%20AHMAD%20BASRI%20WATERMARK.pdf
_version_	1747830581808332800

Construction of fuzzy control charts by using triangular and gaussian fuzzy numbers for solder paste thickness

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