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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 管理學院企業管理專班(Global MBA)
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/18082
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dc.contributor.advisor曹承礎
dc.contributor.authorYa-Ting Wuen
dc.contributor.author吳雅婷zh_TW
dc.date.accessioned2021-06-08T00:50:37Z-
dc.date.copyright2015-07-20
dc.date.issued2015
dc.date.submitted2015-07-03
dc.identifier.citation1. Chou, Y.C. (2007) Using Capacity as a Competition Strategy in a Manufacturing Duopoly. Semiconductor Manufacturing. 1-4.
2. Kim, W.J. and Lee, J.D. (2007) Measuring the Role of Technology-Push and Demand-Pull in the Dynamic Development of Semiconductors Industry: The Case of the Global DRAM Market. SSRN. http://dx.doi.org/10.2139/ssrn.1964822.
3. Black, F. and Scholes, M.S. (1973) The Pricing of Options and Corporate Liabilities. Journal of Political Economy, 81(3). 637-654.
4. Julka, N., Baines, T., Tjahjono, B., Lendermann, P., Vitanov, V. (2007) A review of multi-factor capacity expansion models for manufacturing plants: Searching for a holistic decision aid. Journal of Political Economy, 106. 607-621.
5. Chien, C.F., Wu, C.H., Chiang, Y.S. (2012) Coordinated capacity migration and expansion planning for semiconductor manufacturing under demand uncertainties. International Journal of Production Economics, 135(2). 860-869.
6. Chou, Y.C., Cheng, C.T., Yang, F.C., Liang, Y.Y. (2007) Evaluating alternative capacity strategies in semiconductor manufacturing under uncertain demand and price scenarios. International Journal of Production Economics, 105(2). 591-606.
7. Zequeir, R.I., Valdes, J.E., Berenguer, C. (2008) Optimal buffer inventory and opportunistic preventive maintenance under random production capacity availability. International Journal of Production Economics, 111(2). 686-696.
8. Chen, T. (2012) A Hybrid Fuzzy and Neural Approach with Virtual Experts and Partial Consensus for Dram Price Forecasting. International Journal of Innovative Computing, Information and Control, 8(1B). 583-597.
9. 盛元新(2006) ,DRAM產業國際競爭動態與策略聯盟之研究,台灣大學管理學院國際企業碩士論文
10. 鍾惠民、周賓凰、孫而音(2013),「財務計量Eviews的應用」,新路書局股份有限公司。134-166.
11. 陳正倉、林惠玲、陳忠榮、莊春發(2007) ,「產業經濟學」,雙葉書廊有限公司。198-272.
12. James and Mark (2010)。《計量經濟學》。胥愛琪和呂瓊瑜譯。台北。培生教育。393-456.
13. DRAMeXchang,http://www.dramexchange.com/
14. Gartner,http://www.gartner.com/technology/home.jsp
15. World Semiconductor Trade Statistics,https://www.wsts.org/
16. IC Insights,http://www.icinsights.com/
17. IDC,http://www.idc.com.tw/
18. HIS Technology,https://technology.ihs.com/
19. MoneyDJ理財網,http://www.moneydj.com/
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/18082-
dc.description.abstract本文以歷史資料,分析DRAM在供給、需求和平均價格、美國GDP等時間序列資料,進行實證分析,透過實證模型去了DRAM價格的變動的原因,本文透過了充足率、產業結構以及總體經濟的因素和誤差調整項目去架構出DRAM價格走勢的模型。
進一步的,由於科技產業需求端由過往PC為主轉變為Mobile Devices以及Cloud Computing的應用,使得DRAM的application更為複雜化,而這也對充足率以及平均銷售單價都有重大的影響。本文第三、第四章增強了歷史的模型,試著導入更多變異數。嘗試驗證可行性以後,首度將該驗證後的methodology帶到2015的預測上。
最後,本人僅以對DRAM產業的了解,對於後續研究者提出建議,並且分析現有的競爭態勢以及產品分析,做出對於未來產業結構變化的預測。
zh_TW
dc.description.abstractThe thesis is based on the empirical analysis of chronological data of DRAM's supply, demand and average price as well as the U.S. GDP. Through the empirical model, it seeks to understand the reasons behind the DRAM price changes. The thesis constructs a DRAM price trend model based on sufficiency ratio, industry structure, macroeconomics factors and items for deviation adjustments.
Moreover, as the IT industry demand transitions from PC-dominated applications to be driven by Mobile Devices and Cloud Computing, it is making DRAM's application even more complicated. These factors also have significant changes to the sufficiency ratio and average selling price. In Chapters 3 and 4 of this thesis, the historic model is strengthened, attempted by introducing more variances. After the feasibility has been proven, this is the first time that the proven methodology is incorporated into the 2015 forecast.
Lastly, some recommendations are provided for the future researchers, based on my personal understanding of the DRAM industry. It also includes the analysis of the current competitive landscape and product analysis to arrive at a projection of the future changes of the industry structure.
en
dc.description.provenanceMade available in DSpace on 2021-06-08T00:50:37Z (GMT). No. of bitstreams: 1
ntu-104-R01749013-1.pdf: 4515990 bytes, checksum: 151041e6104dd5c161fa7897605a3fa3 (MD5)
Previous issue date: 2015
en
dc.description.tableofcontentsMaster Thesis Certification by Oral Defense Committee i
Dedication ii
中文摘要 iii
Abstract iv
List of Illustrations v
List of Figures vi
List of Tables vii
1. Background 1
2. Literature 11
2.1 Looking Back the History of DRAM Industry 11
2.2 Discussion of Current DRAM-related Theses 17
3. Research Model 20
3.1 Definitions 20
3.2 The Introduction of the Conventional Model Approach 27
3.3 Distribution of Extra Elements – Product Mix 34
4. Empirical Analysis 36
4.1 Example of 2014 – The Comparison of Two Models 36
4.2 Quantitative Benefit of the New Approach 41
5. Conclusions and Suggestions 44
5.1 Building Foundation Ground 44
5.2 Conclusions 47
5.3 Suggestions 50
References 52
dc.language.isoen
dc.title建立DRAM供需預測模型zh_TW
dc.titleBuilding DRAM Supply and Demand
Forecasting Model
en
dc.typeThesis
dc.date.schoolyear103-2
dc.description.degree碩士
dc.contributor.oralexamcommittee許瑋元,王貞雅
dc.subject.keyword記憶體,供需預測,zh_TW
dc.subject.keywordDRAM,Supply Demand Forecast,en
dc.relation.page53
dc.rights.note未授權
dc.date.accepted2015-07-03
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept企業管理碩士專班zh_TW
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