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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 國際企業管理組
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/26371
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dc.contributor.advisor湯明哲教授
dc.contributor.authorJennifer Chiayu Tsengen
dc.contributor.author曾家瑜zh_TW
dc.date.accessioned2021-06-08T07:07:56Z-
dc.date.copyright2008-08-08
dc.date.issued2008
dc.date.submitted2008-08-05
dc.identifier.citationReferences
1.IC Insights, The McClean Report 2008 Edition
2.Public company websites:
-http://www.tsmc.com
-http://www.umc.com
-http://www.charteredsemi.com
-http://www.smics.com
-http://www.ibm.com/us/
3.Lin, Hung-Yi, 2007, “A Performance Analysis of Implementing Collaborative Commerce Standard in the Semi-Conductor Foundry Industry”, NTU College of management eMBA master thesis
4.卓明金, 2004, “Stragetci Alliance of Semiconductor Industry: A case study of Philips, STMicro, Motorola, and TSMC Alliance”, NTU College of management eMBA master thesis
5.Yeh, Shiann-Chang, 2006, “Competitiveness and Opportunity of Power Line Communication in Broadband Access Service in Taiwan”, NTU College of management eMBA master thesis
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/26371-
dc.description.abstract有鑒於晶圓代工整體環境日趨複雜,競爭日益激烈,價格的壓力持續升高, 加上高階製程資本支出持續飆高,晶圓從業廠商必須對大環境各項變數以及各個競爭者間互動有整體看法,方能產生正確策略方向以玆應對。
本論文主要關注於發展一個動態模型以便協助展開晶圓代工業相關策略研究,主要研究變數為產業需求, 競爭者產能, 定價策略,需求量於競爭者間的分配, 以及不同變數互動下導致的市場狀況。 模型架構完成, 加入一定假設下的變數後, 我們接著探討模型行為以及測試其可用性。 一旦證明了模型的可行性, 就可據以探討各種產業情況下模型的不同應用方式, 以支援相關策略訂定 。
本文內容雖然為動態市場分析打下些許基礎, 但當然仍可加以深入研究以臻佳境, 尤其是風險評估以及最佳解分析, 將對本模型的進化有相當幫助。 另需注意的一點是, 模型推估的結果不應視為絕對, 而應重視不同方案下呈現的差異數所透露的訊息。
zh_TW
dc.description.abstractIn view of the increasingly complicated business environment for Pure-Play foundries, with heightened competitiveness, tremendous pricing pressure, and ever- increasing capital expenditures, it is vital for the foundry companies to be able to have a consolidated view of all business factors and how they interplay with each other, to eventually affect the company involved as well as the industry as a whole.

This thesis focuses on the development of such a dynamic model, identifying the key factors – industry demand, competitor capacity, pricing tactics, and the distribution of demand herewith. With the framework setup, parameters identified, assumptions specified, we then focus on discussing how the overall model would work, and its validation. Once validated, we proceed to explore the various applications of the model under different business conditions, how scenarios should be setting under those specific conditions, to demonstrate the model’s practical use in supporting strategic decision-making.
What’s discussed in this thesis, while laying a sound basis for dynamic industry study, can still be improved further with some more optimization and risk analysis mechanism. It is also to bear in mind that we should view the outcome of the model as a comparison amongst scenarios for executive consideration, rather than absolute financial projections; nor should it be used for short-term capacity planning.
en
dc.description.provenanceMade available in DSpace on 2021-06-08T07:07:56Z (GMT). No. of bitstreams: 1
ntu-97-P95746020-1.pdf: 1016213 bytes, checksum: f282d6abeec4234f2b1d4aa31392b81e (MD5)
Previous issue date: 2008
en
dc.description.tableofcontentsChapter 1 Introduction 1
1.1 Background 1
1.2 Problem Statements 2
1.3 Objectives of Research 2
1.4 Scopes and Research Approach 3
1.5 Thesis Outline 4
Chapter 2 Foundry Industry Review 5
2.1 Evolution of foundry business 5
2.2 Global Semiconductor Industry Outlook 7
2.3 Industry dynamics 12
2.4 Future Challenges 18
2.4.1 Increasing Cost of Production 19
2.4.2 Declining Gross Margin 20
2.4.3 Heightened Competition 21
2.4.4 Security issues 22
Chapter 3 Research Approach 24
3.1 Overview 24
3.2 Framework 25
3.3 Key analyses supported 26
3.4 Structure and Methodology 27
3.4.1 Model design 27
3.4.2 Model assumptions 28
Base data 29
Model Pricing 31
Additional parameters 34
3.4.3 Model Algorithm 35
Industry revenues - pricing 35
Industry revenues – market share 41
Industry costs 45
3.4.4 Model Use and Constraints 46
3.4.5 Model Maintenance 47
Data Update 47
Algorithm Change 48
Chapter 4 Model Validation 49
4.1 Verify Assumptions 49
4.2 Check Behavior 52
Behavior 1 – market share shift against economic cycle 53
Behavior 2 – price level influenced by capacity changes 55
Behavior 3 – short-term market share influenced by ASP 56
Behavior 4 – medium-term market share influenced by Capacity 57
4.3 Back-test 59
4.4 Validation Summary 61
Chapter 5 Case Studies 62
5.1 Pricing Strategy 62
5.2 New node timing and pricing 66
5.3 Merger & Acquisitions 68
Chapter 6 Conclusions & Suggestions 71
6.1 Research Conclusions 71
6.2 Research Suggestions 72
Building cycles into long-term demand forecast 73
Build tactical competitor capacity sub module 73
Build optimal engine 73
Build risk analysis mechanism 74
Consider competitor cash flow position 74
References 75
dc.language.isoen
dc.subject晶圓代工zh_TW
dc.subject策略模型zh_TW
dc.subject晶圓廠zh_TW
dc.subjectPure-playen
dc.subjectfoundryen
dc.subjectstrategic modelen
dc.title晶圓代工策略動態模型zh_TW
dc.titleA Study over Dynamic Modeling for Foundry Industry Strategic Analysisen
dc.typeThesis
dc.date.schoolyear96-2
dc.description.degree碩士
dc.contributor.oralexamcommittee李吉仁教授,王仕茹
dc.subject.keyword晶圓代工,晶圓廠,策略模型,zh_TW
dc.subject.keywordPure-play,foundry,strategic model,en
dc.relation.page75
dc.rights.note未授權
dc.date.accepted2008-08-05
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept國際企業管理組zh_TW
顯示於系所單位:國際企業管理組

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