I-Ching Decision Making Model Applied to Taiwan Semiconductor Photolithography R&D Strategy Selection for 22 nm Generation and Beyond
碩士 === 國立交通大學 === 高階主管管理碩士學程 === 98 === Lithography process is the most critical path to enter the next generation, especially for 22nm HP generation. However, expensive advanced equipments and high R&D costs make the rapid growth of actual total cost while adopting advanced technologies for ne...
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ndltd-TW-098NCTU56270252016-04-18T04:21:31Z http://ndltd.ncl.edu.tw/handle/35397158066096082559 I-Ching Decision Making Model Applied to Taiwan Semiconductor Photolithography R&D Strategy Selection for 22 nm Generation and Beyond 易經決策模式應用於台灣半導體產業22奈米世代以下黃光微影關鍵製程技術之研發策略選擇 Lin, Benjamin Szu-Min 林思閩 碩士 國立交通大學 高階主管管理碩士學程 98 Lithography process is the most critical path to enter the next generation, especially for 22nm HP generation. However, expensive advanced equipments and high R&D costs make the rapid growth of actual total cost while adopting advanced technologies for next generation. Uncertainties and multiple technology choices also increase R&D costs and time to market. Therefore, selecting an optimum lithographic technology to meet R&D cost reduction, provide new technology to customers in time, and increase technology competence efficiently is an important topic for Taiwanese semiconductor industry. In this study, I-Ching decision making model: “The Equilibrium Transformation among Mind, Recognition and Resource”, developed by Chair Prof. H. L. Li from NCTU, and I-Ching Cube, described in this work about special 3-D arrangement and energy states for 64 double-trigrams in a 4x4x4 cube, would be implemented to explain how to select the best lithographic solution to 22nm HP generation for Taiwanese semiconductor makers. Ding, Cherng G. 丁承 2010 學位論文 ; thesis 56 zh-TW |
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碩士 === 國立交通大學 === 高階主管管理碩士學程 === 98 === Lithography process is the most critical path to enter the next generation, especially for 22nm HP generation. However, expensive advanced equipments and high R&D costs make the rapid growth of actual total cost while adopting advanced technologies for next generation. Uncertainties and multiple technology choices also increase R&D costs and time to market. Therefore, selecting an optimum lithographic technology to meet R&D cost reduction, provide new technology to customers in time, and increase technology competence efficiently is an important topic for Taiwanese semiconductor industry.
In this study, I-Ching decision making model: “The Equilibrium Transformation among Mind, Recognition and Resource”, developed by Chair Prof. H. L. Li from NCTU, and I-Ching Cube, described in this work about special 3-D arrangement and energy states for 64 double-trigrams in a 4x4x4 cube, would be implemented to explain how to select the best lithographic solution to 22nm HP generation for Taiwanese semiconductor makers.
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author2 |
Ding, Cherng G. |
author_facet |
Ding, Cherng G. Lin, Benjamin Szu-Min 林思閩 |
author |
Lin, Benjamin Szu-Min 林思閩 |
spellingShingle |
Lin, Benjamin Szu-Min 林思閩 I-Ching Decision Making Model Applied to Taiwan Semiconductor Photolithography R&D Strategy Selection for 22 nm Generation and Beyond |
author_sort |
Lin, Benjamin Szu-Min |
title |
I-Ching Decision Making Model Applied to Taiwan Semiconductor Photolithography R&D Strategy Selection for 22 nm Generation and Beyond |
title_short |
I-Ching Decision Making Model Applied to Taiwan Semiconductor Photolithography R&D Strategy Selection for 22 nm Generation and Beyond |
title_full |
I-Ching Decision Making Model Applied to Taiwan Semiconductor Photolithography R&D Strategy Selection for 22 nm Generation and Beyond |
title_fullStr |
I-Ching Decision Making Model Applied to Taiwan Semiconductor Photolithography R&D Strategy Selection for 22 nm Generation and Beyond |
title_full_unstemmed |
I-Ching Decision Making Model Applied to Taiwan Semiconductor Photolithography R&D Strategy Selection for 22 nm Generation and Beyond |
title_sort |
i-ching decision making model applied to taiwan semiconductor photolithography r&d strategy selection for 22 nm generation and beyond |
publishDate |
2010 |
url |
http://ndltd.ncl.edu.tw/handle/35397158066096082559 |
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