Model for throughput performance measures and monitoring system in semiconductor industry

Manufacturing Science has been a proven discipline to further enhance traditional manufacturing practices where manufacturing performance can be quantify, measure and improve. Factory Physics is one of the approaches in manufacturing sciences. Through the application on Factory Physics principles, m...

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Main Author:	Ng, Poh Lay
Format:	Thesis
Language:	English
Published:	2009
Subjects:	TS Manufactures
Online Access:	http://eprints.utm.my/id/eprint/10058/1/NgPohLayMFKM2009.pdf
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id	my-utm-ep.10058
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spelling	my-utm-ep.100582018-06-25T01:05:05Z Model for throughput performance measures and monitoring system in semiconductor industry 2009-05 Ng, Poh Lay TS Manufactures Manufacturing Science has been a proven discipline to further enhance traditional manufacturing practices where manufacturing performance can be quantify, measure and improve. Factory Physics is one of the approaches in manufacturing sciences. Through the application on Factory Physics principles, manufacturing performance gap can be systematically identify for throughput maximization. Managing manufacturing throughput is always a challenge as most of the manufacturing shop floor information available are either qualitative or quantitative but in piece mail which practically make us almost impossible to directly use the information for systematic scientific analysis. This is mainly driven by the dynamic of operation behaviors primary influence by manufacturing variability. Variability in manufacturing is unavoidable and sometime just simply unpredictable. It consists of the varies in people skills, process requirement, equipment performance and products. Buffering the shop floor with excessive work in progress (WIP) is the most common undocumented tribal knowledge to overcome throughput uncertainty. As a result some people even describe that running manufacturing is an art. Four fundamental models for throughput performance measures and monitoring system for a semiconductor assembly plant being developed and introduced. Overall manufacturing system performance expected to be further enhanced and a common ground for continual improvement to be established through this systematic modeling approach with the application of the basic concept of Factory Physics Principles. Based on initial mid range financial analysis over seven months, there is a potential opportunity for USD48000/week incremental Gross Margin through additional 20% of quality throughput couple with 30% Cycle time improvement. 2009-05 Thesis http://eprints.utm.my/id/eprint/10058/ http://eprints.utm.my/id/eprint/10058/1/NgPohLayMFKM2009.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Mechanical Engineering Faculty of Mechanical Engineering Goldratt, E.M., and Cox, J. (1994). “The Goal”. USA: North River Press. Spearman, Mark L. (2006). “Factory Physics Principles for Managers” Arizona: Factory Physics, Inc. Sendil Kumar, C. and Panneerselvam R. (2005). “JIT-Kanban System” International Journal of Manufacturing System H’ng Gaik Chin (2004). “Performance Measures Relationship” University Technology Malaysia. Thesis M.Sc
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TS Manufactures
spellingShingle	TS Manufactures Ng, Poh Lay Model for throughput performance measures and monitoring system in semiconductor industry
description	Manufacturing Science has been a proven discipline to further enhance traditional manufacturing practices where manufacturing performance can be quantify, measure and improve. Factory Physics is one of the approaches in manufacturing sciences. Through the application on Factory Physics principles, manufacturing performance gap can be systematically identify for throughput maximization. Managing manufacturing throughput is always a challenge as most of the manufacturing shop floor information available are either qualitative or quantitative but in piece mail which practically make us almost impossible to directly use the information for systematic scientific analysis. This is mainly driven by the dynamic of operation behaviors primary influence by manufacturing variability. Variability in manufacturing is unavoidable and sometime just simply unpredictable. It consists of the varies in people skills, process requirement, equipment performance and products. Buffering the shop floor with excessive work in progress (WIP) is the most common undocumented tribal knowledge to overcome throughput uncertainty. As a result some people even describe that running manufacturing is an art. Four fundamental models for throughput performance measures and monitoring system for a semiconductor assembly plant being developed and introduced. Overall manufacturing system performance expected to be further enhanced and a common ground for continual improvement to be established through this systematic modeling approach with the application of the basic concept of Factory Physics Principles. Based on initial mid range financial analysis over seven months, there is a potential opportunity for USD48000/week incremental Gross Margin through additional 20% of quality throughput couple with 30% Cycle time improvement.
format	Thesis
qualification_level	Master's degree
author	Ng, Poh Lay
author_facet	Ng, Poh Lay
author_sort	Ng, Poh Lay
title	Model for throughput performance measures and monitoring system in semiconductor industry
title_short	Model for throughput performance measures and monitoring system in semiconductor industry
title_full	Model for throughput performance measures and monitoring system in semiconductor industry
title_fullStr	Model for throughput performance measures and monitoring system in semiconductor industry
title_full_unstemmed	Model for throughput performance measures and monitoring system in semiconductor industry
title_sort	model for throughput performance measures and monitoring system in semiconductor industry
granting_institution	Universiti Teknologi Malaysia, Faculty of Mechanical Engineering
granting_department	Faculty of Mechanical Engineering
publishDate	2009
url	http://eprints.utm.my/id/eprint/10058/1/NgPohLayMFKM2009.pdf
_version_	1747814790817906688

Model for throughput performance measures and monitoring system in semiconductor industry

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