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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 工業工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/17169
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor洪一薰(I-Hsuan Hong)
dc.contributor.authorJu-Lan Taoen
dc.contributor.author陶如蘭zh_TW
dc.date.accessioned2021-06-07T23:59:23Z-
dc.date.copyright2013-08-26
dc.date.issued2013
dc.date.submitted2013-08-16
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[Assa 08] Assavapokee, T., Realff, M. J., and Ammons, J. C. Min-max regret robust optimization approach on interval data uncertainty. Journal of Optimization Theory and Applications, 137(2), pp. 297-316, 2008.
[Bara 05] Barahona, F., Bermon, S., Gunluk, O., and Hood, S. Robust capacity planning in semiconductor manufacturing. Naval Research Logistics (NRL), 52(5), pp. 459-468, 2005.
[Berm 99] Bermon, S. and Hood, S. Capacity optimization planning system (CAPS). Interfaces, 29 (5), pp. 31–50, 1999.
[Chie 10] Chien, C. F., Chen, Y., and Peng, J. Manufacturing intelligence for semiconductor demand forecast based on technology diffusion and product life cycle. International Journal of Production Economics, 128(2), pp. 496–509, 2010.
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[Chou 07] Chou, Y. C., Cheng, C. T., Yang, F. C., and Liang, Y. Y. Evaluating alternative capacity strategies in semiconductor manufacturing under uncertain demand and price scenarios. International Journal of Production Economics,105(2), pp. 591-606, 2007.
[Chri 02] Christie, R. M. and Wu, S. D. Semiconductor capacity planning: stochastic modeling and computational studies. IIE Transactions, 34 (2), pp. 131–143, 2002.
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[Geng 09] Geng, N. and Jiang, Z. A review on strategic capacity planning for the semiconductor manufacturing industry. International Journal of Production Research, 47(13), pp. 3639-3655, 2009.
[Hood 03] Hood, S. J., Bermon, S., and Barahona, F. Capacity planning under demand uncertainty for semiconductor manufacturing. Semiconductor Manufacturing, IEEE Transactions on, 16(2), pp. 273-280, 2003.
[Hopp 02] Hopp, W.J. Using an optimized queueing network model to support
wafer design. IIE Transactions, 34, pp. 119–130, 2002.
[Huh 06] Huh, W. T., Roundy, R. O., and Cakanyildirim, M. A general strategic capacity planning model under demand uncertainty. Naval Research Logistics (NRL), 53(2), pp. 137-150, 2006.
[Hynd 06] Hyndman, R. J. and Koehler, A. B. Another look at measures of forecast accuracy. International Journal of Forecasting, 22(4), pp. 679-688, 2006.
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[Kara 99] Karabuk, S. and Wu, S. D. Strategic capacity planning in the semiconductor industry: a stochastic programming approach. In Operations Research, 1999.
[Kara 03] Karabuk, S. and Wu, S. D. Coordinating strategic capacity planning in the semiconductor industry. Operations Research, 51(6), pp. 839-849, 2003.
[Lind 10] Lind, D. A., Marchal, W. G., Wathen, S. A. and Waite, C. A. Basic
Statistics for Business & Economics, 7/e. McGraw Hill. . ISBN 0077384474, 2010.
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[Occh 00] Occhino, T. J. Capacity planning model: the important inputs, formulas, and benefits. In Advanced Semiconductor Manufacturing Conference and Workshop, IEEE/SEMI, pp. 455-458, 2000.
[Oztu 03] Ozturk, O., Coburn, M. B., and Kitterman, S. Conceptualization, design and implementation of a static capacity model. In Simulation Conference, 2003. Proceedings of the 2003 Winter, Vol. 2, pp. 1373-1376. IEEE.
[Raif 97] Raiffa, H. Decision Analysis: Introductory Lectures on Choices Under Uncertainty. McGraw Hill. ISBN 0-07-052579-X.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/17169-
dc.description.abstract本論文的目的是要建立一個簡化的分析方法,藉由這個架構,讓產能規劃者和管理者可以很容易地在需求不確地下做產能規劃的決策。產能規劃的目標是在決定何時該做產能的投資、擴張,並且該投資多少。在此論文中,我們提出一個兩階段的方法;這個方法是建立在決策理論的假設狀況分析和確定性決策方法的基礎上,即使非專業工程背景的產能規劃者也能輕易使用,並能有效與管理者溝通。本篇論文的貢獻對於產能規劃的研究可以歸納為三項。第一,我們發展一個通用模型,在需求確定下的情況,描述資源的產能規劃和評估資產投資計劃,以達到財務上的目標。這個通用模型可以適用於各個領域的資源產能規劃。第二,我們將前面的模型延伸,發展出考慮需求不確定下的決策模式,稱之為兩階段的方法。最後,我們簡化兩階段方法的決策規則;經由兩階段方法的實驗結果,可以推測出簡單的決策法則來因應需求的不確定性。產能規劃者和管理者可以根據需求確定下的產能投資計劃,快速地決定需要立即執行的最小投資方案。經由實驗的結果可以證明,我們所提出的兩階段方法和簡單決策法則,可實際運用於中小型的企業的產能擴張計劃,達到顯著的效果。zh_TW
dc.description.abstractThe aim of this thesis is to build the framework of capacity expansion decision in a simplified analytical method under demand uncertainty. The purpose of capacity planning is to determine when capacity should be invested and how much. In the thesis, a two-phase method is proposed based on the deterministic approach and decision theories in what if analysis. It is ease-of-use for a firm without involving Industrial engineering experts. There are three contributions made. First is the development of a generic model to exercise resource capacity and expansion plan for financial objective achievement. The generic model is applicable to resource capacity planning in various domains. Second is the development of an extension of deterministic model, we called two-phase method, to consider capacity decisions under demand uncertainty. The last is to simplify the decision rule, in order to save computational calculation for fast responsive, based on the relation of experimental results between the two-phase method and deterministic model when making decisions for capacity expansion plan. The experimental results have indicated that the proposed method has potential to become practical for capacity expansion planning.en
dc.description.provenanceMade available in DSpace on 2021-06-07T23:59:23Z (GMT). No. of bitstreams: 1
ntu-102-P00546015-1.pdf: 1456842 bytes, checksum: d993a9da87f36d045ccdae2c7dda7b70 (MD5)
Previous issue date: 2013
en
dc.description.tableofcontentsTable of Contents
Acknowledgements………………………………...……………….……………… iii
Chinese Abstract ………………………………….…………….……………….…. iv
English Abstract ……………………………………………….……………...……. v
List of Figures ……………………………………..……………………………… viii
List of Tables ..………………………….………….……………………………..…. x
Chapter 1 Introduction …………………………………………………...……… 1
1.1 Strategic Capacity Planning ……..……………………………………….. 2
1.2 Background and Motivation ……..……………………………………….. 4
1.3 Research Questions …...…..……………………………………………… 6
1.4 Thesis Organization ………….…………………………………………… 7
Chapter 2 Literature Review……………………………………………………... 9
2.1 Static Capacity Model ……………………………….………………….. 11
2.2 Neighborhood Search Model …………………………….……..………. 13
2.3 Mathematical Programming Model …………………….……..……..…. 15
2.4 Summary ……………………...………………………….……..………. 18
Chapter 3 Data Analysis and Deterministic Capacity Modeling ….....………. 21
3.1 Problem Description ………….…………..…………………………....... 21
3.2 Model Notations and Assumptions …………………………………….. 25
3.3 Cost Measurement …………………..………………………………..… 29
3.4 The Deterministic Model ………..…..………………………………..… 32
Chapter 4 Two-Phase Capacity Planning with Uncertain Demand ….…...... 37
4.1 Decision Theory .………………………………………..………….…… 37
4.1.1 Payoff ………….....………...……………………………….…… 38
4.1.2 Regret ………….....………...……………………………….…… 39
4.1.3 Decision Tree …..…………………………...……………….…… 42
4.2 The Proposed Method .…………………………………………...…… 44
4.2.1 Two-phase Decision ………………………………………...…… 45
4.2.2 Model Notations and Algorithm …….………………………....… 50
4.3 Implementation …..……………………………………………………… 56
4.3.1 The Deterministic Model …..……………………………….…… 57
4.3.2 The Two-Phase Method ………….….………………………....… 60
Chapter 5 Experiments and Performance Comparison …….….…………… 65
5.1 Experiments .………………………………………..………...…….…… 65
5.2 Performance Comparison ……………………………..………….…… 69
5.2.1 Two-Phase Method and Measurement Criteria ……..…...….…… 69
5.2.2 Main and Sub Resource Costs …………………...………….…… 72
5.3 Summary ………………………………………………..………….…… 78
Chapter 6 Conclusion and Future Work …….………………………………… 79
6.1 Conclusion ……………………………………………………….……… 79
6.2 Future Work ..………………………………………………………...….. 81
References …………………………………………………………………………. 83
dc.language.isozh-TW
dc.title簡單法則下需求不確定性之產能規劃探討zh_TW
dc.titleA Simplified Analytical Method for
Capacity Planning with Uncertain Demand
en
dc.typeThesis
dc.date.schoolyear101-2
dc.description.degree碩士
dc.contributor.oralexamcommittee周雍強,黃奎隆,陳文智
dc.subject.keyword產能規劃,製造策略,生產計劃,決策理論,確定性方法,需求不確定性,經營成本,zh_TW
dc.subject.keywordStrategic capacity planning,manufacturing strategy, production planning,decision theory,deterministic methods,demand uncertainty,operating cost,en
dc.relation.page87
dc.rights.note未授權
dc.date.accepted2013-08-16
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept工業工程學研究所zh_TW
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