Process Improvement Through Six Sigma Methodology - Mv Machine Defective Reduction

Six Sigma tools and methodologies have innovated a solution for quality improvement. In Auto Mount Department of Sony Technology Malaysia in Bangi, Selangor, MY machine defective reduction project was performed as part of quality improvement efforts. Six Sigma tools and methodology were employed to...

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Bibliographic Details
Main Author:	Muid, Zalizan
Format:	Thesis
Language:	English English
Published:	2000
Subjects:	Production management Quality control - Statistical methods
Online Access:	http://psasir.upm.edu.my/id/eprint/10526/1/FK_2000_41.pdf
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id	my-upm-ir.10526
record_format	uketd_dc
spelling	my-upm-ir.105262024-04-04T01:07:48Z Process Improvement Through Six Sigma Methodology - Mv Machine Defective Reduction 2000-04 Muid, Zalizan Six Sigma tools and methodologies have innovated a solution for quality improvement. In Auto Mount Department of Sony Technology Malaysia in Bangi, Selangor, MY machine defective reduction project was performed as part of quality improvement efforts. Six Sigma tools and methodology were employed to conduct this project. This involved four simple but rigorous steps called Measure-Analyze-Improve-Control (MAlC) where tools such as Process Map, Measurement System Analysis (MSA), Cause and Effect Diagram, Failure Mode and Effect Analysis (FMEA), Fault Tree Analysis (FT A), Design of Experiment (DOE) and Statistical Process Control (SPC) were used. The objective was to obtain knowledge about sources of variability that cause the defects and then to improve process capability to attain Six Sigma capability. The sources of variability are the machine input factors such as nozzle, z-carriage, feeder cassette, XY table and head unit to generate corresponding outputs (i.e. defectives). Upon identifying the variables, actions were taken to eliminate and to control the identified variability contributors. The project provides excellent insight into the power of Six Sigma as a process improvement tools. It provides significant process knowledge based on facts and data and facilitates the information sharing. As a result, the machine improved by more than 50%, which accounts for the annual savings of more than RM50,000. Production management Quality control - Statistical methods 2000-04 Thesis http://psasir.upm.edu.my/id/eprint/10526/ http://psasir.upm.edu.my/id/eprint/10526/1/FK_2000_41.pdf text en public masters Universiti Putra Malaysia Production management Quality control - Statistical methods Faculty of Engineering Osman, Mohd Rasid English
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English English
advisor	Osman, Mohd Rasid
topic	Production management Quality control - Statistical methods
spellingShingle	Production management Quality control - Statistical methods Muid, Zalizan Process Improvement Through Six Sigma Methodology - Mv Machine Defective Reduction
description	Six Sigma tools and methodologies have innovated a solution for quality improvement. In Auto Mount Department of Sony Technology Malaysia in Bangi, Selangor, MY machine defective reduction project was performed as part of quality improvement efforts. Six Sigma tools and methodology were employed to conduct this project. This involved four simple but rigorous steps called Measure-Analyze-Improve-Control (MAlC) where tools such as Process Map, Measurement System Analysis (MSA), Cause and Effect Diagram, Failure Mode and Effect Analysis (FMEA), Fault Tree Analysis (FT A), Design of Experiment (DOE) and Statistical Process Control (SPC) were used. The objective was to obtain knowledge about sources of variability that cause the defects and then to improve process capability to attain Six Sigma capability. The sources of variability are the machine input factors such as nozzle, z-carriage, feeder cassette, XY table and head unit to generate corresponding outputs (i.e. defectives). Upon identifying the variables, actions were taken to eliminate and to control the identified variability contributors. The project provides excellent insight into the power of Six Sigma as a process improvement tools. It provides significant process knowledge based on facts and data and facilitates the information sharing. As a result, the machine improved by more than 50%, which accounts for the annual savings of more than RM50,000.
format	Thesis
qualification_level	Master's degree
author	Muid, Zalizan
author_facet	Muid, Zalizan
author_sort	Muid, Zalizan
title	Process Improvement Through Six Sigma Methodology - Mv Machine Defective Reduction
title_short	Process Improvement Through Six Sigma Methodology - Mv Machine Defective Reduction
title_full	Process Improvement Through Six Sigma Methodology - Mv Machine Defective Reduction
title_fullStr	Process Improvement Through Six Sigma Methodology - Mv Machine Defective Reduction
title_full_unstemmed	Process Improvement Through Six Sigma Methodology - Mv Machine Defective Reduction
title_sort	process improvement through six sigma methodology - mv machine defective reduction
granting_institution	Universiti Putra Malaysia
granting_department	Faculty of Engineering
publishDate	2000
url	http://psasir.upm.edu.my/id/eprint/10526/1/FK_2000_41.pdf
_version_	1804888560508076032

Process Improvement Through Six Sigma Methodology - Mv Machine Defective Reduction

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