Reliability analysis based on weibull distribution and failure mode effect and criticality anaysis

In manufacturing industry breakdown due to machine failure affect the product quality, customer satisfaction and product performance. However it is important more over difficult to control and decreasing failure due to unplanned failure. This situation gives a big impact since it leads to product d...

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Main Author:	Suhaireza, Md Esa
Format:	Thesis
Language:	English
Subjects:	Reliability analysis Weibull distribution Reliability Failure Manufacturing industry Breakdown Weibull
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/44126/1/p.1-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/44126/2/full%20text.pdf
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spelling	my-unimap-441262016-11-22T07:49:58Z Reliability analysis based on weibull distribution and failure mode effect and criticality anaysis Suhaireza, Md Esa In manufacturing industry breakdown due to machine failure affect the product quality, customer satisfaction and product performance. However it is important more over difficult to control and decreasing failure due to unplanned failure. This situation gives a big impact since it leads to product defect, decreasing of performance and increasing of maintenance cost. One of the strategies is using the reliability analysis as the medium to develop a proper maintenance. This reliability analysis identified the characteristics of the failure and the reliability of the machine. For this research two method of reliability analysis used are Weibull distribution and failure mode effect and criticality analysis. For Weibull distribution the quantitative data of the time to failure is applied. Time to failure data is the range of time from the first failure to the next failure to happen. Where in failure mode effect and criticality analysis the data used are the failure mode, failure cause and effects and its probability. These data based on failure data provided from three critical machines on the Camshaft line of automotive manufacturing industry in Malaysia. For this reliability analysis, Weibull distribution analysis ends up the results with the state of characteristics and behaviour of the machine failure. State of the failure characteristics are able to use as the guideline for future analysis of proper maintenance development. Moreover, the value of parameter on the characteristics and behaviour of the failure state leads to estimation of mean time to failure. Meanwhile, from the failure mode and failure cause and effects results leads to identification, classification and clarification of the failure mode and its criticality ranks. In the criticality matrix the degree of seriousness for the critical failure mode is more clearly viable. The criticality matrix leads to decision of corrective action taken with the consideration of safety factor and occurrence of failure. Therefore, the combination of reliability analysis and failure mode and failure cause and effects on machine failure presents more clear and specifics results. Universiti Malaysia Perlis (UniMAP) 2013 Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/44126 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/44126/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/44126/1/p.1-24.pdf 34a8f302759fc4166acea7a4293ab95f http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/44126/2/full%20text.pdf 73dad88f7f99cf48f5442535cc5f3526 Reliability analysis Weibull distribution Reliability Failure Manufacturing industry Breakdown Weibull School of Manufacturing Engineering
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
topic	Reliability analysis Weibull distribution Reliability Failure Manufacturing industry Breakdown Weibull
spellingShingle	Reliability analysis Weibull distribution Reliability Failure Manufacturing industry Breakdown Weibull Suhaireza, Md Esa Reliability analysis based on weibull distribution and failure mode effect and criticality anaysis
description	In manufacturing industry breakdown due to machine failure affect the product quality, customer satisfaction and product performance. However it is important more over difficult to control and decreasing failure due to unplanned failure. This situation gives a big impact since it leads to product defect, decreasing of performance and increasing of maintenance cost. One of the strategies is using the reliability analysis as the medium to develop a proper maintenance. This reliability analysis identified the characteristics of the failure and the reliability of the machine. For this research two method of reliability analysis used are Weibull distribution and failure mode effect and criticality analysis. For Weibull distribution the quantitative data of the time to failure is applied. Time to failure data is the range of time from the first failure to the next failure to happen. Where in failure mode effect and criticality analysis the data used are the failure mode, failure cause and effects and its probability. These data based on failure data provided from three critical machines on the Camshaft line of automotive manufacturing industry in Malaysia. For this reliability analysis, Weibull distribution analysis ends up the results with the state of characteristics and behaviour of the machine failure. State of the failure characteristics are able to use as the guideline for future analysis of proper maintenance development. Moreover, the value of parameter on the characteristics and behaviour of the failure state leads to estimation of mean time to failure. Meanwhile, from the failure mode and failure cause and effects results leads to identification, classification and clarification of the failure mode and its criticality ranks. In the criticality matrix the degree of seriousness for the critical failure mode is more clearly viable. The criticality matrix leads to decision of corrective action taken with the consideration of safety factor and occurrence of failure. Therefore, the combination of reliability analysis and failure mode and failure cause and effects on machine failure presents more clear and specifics results.
format	Thesis
author	Suhaireza, Md Esa
author_facet	Suhaireza, Md Esa
author_sort	Suhaireza, Md Esa
title	Reliability analysis based on weibull distribution and failure mode effect and criticality anaysis
title_short	Reliability analysis based on weibull distribution and failure mode effect and criticality anaysis
title_full	Reliability analysis based on weibull distribution and failure mode effect and criticality anaysis
title_fullStr	Reliability analysis based on weibull distribution and failure mode effect and criticality anaysis
title_full_unstemmed	Reliability analysis based on weibull distribution and failure mode effect and criticality anaysis
title_sort	reliability analysis based on weibull distribution and failure mode effect and criticality anaysis
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	School of Manufacturing Engineering
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/44126/1/p.1-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/44126/2/full%20text.pdf
_version_	1747836825466044416

Reliability analysis based on weibull distribution and failure mode effect and criticality anaysis

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