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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
http://eprints.utm.my/id/eprint/10058/
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spelling my.utm.100582018-06-25T01:05:05Z http://eprints.utm.my/id/eprint/10058/ Model for throughput performance measures and monitoring system in semiconductor industry 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 NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/10058/1/NgPohLayMFKM2009.pdf Ng, Poh Lay (2009) Model for throughput performance measures and monitoring system in semiconductor industry. Masters thesis, Universiti Teknologi Malaysia, Faculty of Mechanical Engineering.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
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
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
publishDate 2009
url http://eprints.utm.my/id/eprint/10058/1/NgPohLayMFKM2009.pdf
http://eprints.utm.my/id/eprint/10058/
_version_ 1643645313901133824
score 13.211869

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