Empirical Modeling of Work-In-Process Flow Time in Semiconductor Manufacturing
碩士 === 國立臺灣大學 === 工業工程學研究所 === 93 === The services of the foundry cover mask design, fabrication, assembly, final test, and trouble shooting. In other words, the manufacturing department and the engineering department need to be more cooperated. To attain robust and acceptable delivery performance,...
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ndltd-TW-093NTU050300132015-12-21T04:04:14Z http://ndltd.ncl.edu.tw/handle/25567493884144175646 Empirical Modeling of Work-In-Process Flow Time in Semiconductor Manufacturing 晶圓廠在製品流程時間之實證模式建構 Yuan-Hung Huang 黃元鴻 碩士 國立臺灣大學 工業工程學研究所 93 The services of the foundry cover mask design, fabrication, assembly, final test, and trouble shooting. In other words, the manufacturing department and the engineering department need to be more cooperated. To attain robust and acceptable delivery performance, the manufacturing department should not only focus on the machine utilization, but also on the WIP behavior. As claimed to be manufacturing service, the niche is to meet the customer requirement. The challenge will be to overcome the controllability and predictability problems, service monitoring and control of the business orders. In IC supply chain, a chip provider pays attention to the current state of released orders in order to meet the market requirement. Hence, on customer satisfaction, there are two key performance indexes at the foundry: delivery schedule accuracy and order fulfillment lead time. For these two indexes, a fully loaded foundry model based on simulation program has been established in this thesis to analyze the WIP behavior. The research is to obtain the mean and variance of the flow time. The distribution of the flow time has been validated and it seems to be the normal distribution. Another core issue is to analyze the relationship between system utilization and flow time; our result shows that the relationship follows an exponential function. Based on it, foundry can provide IC design house the forecasting flow time with the current capacity utilization, and as the adjustment reference of order release time. 周雍強 2005 學位論文 ; thesis 79 zh-TW |
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碩士 === 國立臺灣大學 === 工業工程學研究所 === 93 === The services of the foundry cover mask design, fabrication, assembly, final test, and trouble shooting. In other words, the manufacturing department and the engineering department need to be more cooperated. To attain robust and acceptable delivery performance, the manufacturing department should not only focus on the machine utilization, but also on the WIP behavior. As claimed to be manufacturing service, the niche is to meet the customer requirement. The challenge will be to overcome the controllability and predictability problems, service monitoring and control of the business orders.
In IC supply chain, a chip provider pays attention to the current state of released orders in order to meet the market requirement. Hence, on customer satisfaction, there are two key performance indexes at the foundry: delivery schedule accuracy and order fulfillment lead time. For these two indexes, a fully loaded foundry model based on simulation program has been established in this thesis to analyze the WIP behavior. The research is to obtain the mean and variance of the flow time. The distribution of the flow time has been validated and it seems to be the normal distribution. Another core issue is to analyze the relationship between system utilization and flow time; our result shows that the relationship follows an exponential function. Based on it, foundry can provide IC design house the forecasting flow time with the current capacity utilization, and as the adjustment reference of order release time.
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author2 |
周雍強 |
author_facet |
周雍強 Yuan-Hung Huang 黃元鴻 |
author |
Yuan-Hung Huang 黃元鴻 |
spellingShingle |
Yuan-Hung Huang 黃元鴻 Empirical Modeling of Work-In-Process Flow Time in Semiconductor Manufacturing |
author_sort |
Yuan-Hung Huang |
title |
Empirical Modeling of Work-In-Process Flow Time in Semiconductor Manufacturing |
title_short |
Empirical Modeling of Work-In-Process Flow Time in Semiconductor Manufacturing |
title_full |
Empirical Modeling of Work-In-Process Flow Time in Semiconductor Manufacturing |
title_fullStr |
Empirical Modeling of Work-In-Process Flow Time in Semiconductor Manufacturing |
title_full_unstemmed |
Empirical Modeling of Work-In-Process Flow Time in Semiconductor Manufacturing |
title_sort |
empirical modeling of work-in-process flow time in semiconductor manufacturing |
publishDate |
2005 |
url |
http://ndltd.ncl.edu.tw/handle/25567493884144175646 |
work_keys_str_mv |
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