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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/38858Full metadata record
| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 周雍強 | |
| dc.contributor.author | Tung-Yi Hsieh | en |
| dc.contributor.author | 謝東易 | zh_TW |
| dc.date.accessioned | 2021-06-13T16:49:29Z | - |
| dc.date.available | 2005-10-10 | |
| dc.date.copyright | 2005-07-21 | |
| dc.date.issued | 2005 | |
| dc.date.submitted | 2005-06-24 | |
| dc.identifier.citation | [1] Chou, Y. C., and Li Yu Huang, (2004) “半導體製造之先進製程產能就緒時點的經濟模式,” 科技管理學刊, Vol. 9, No. 3, pp.1–26.
[2] Connors, D. P., G. E. Feigin and D. D. Yao, (1996) “A Queueing Network Model for Semiconductor Manufacturing,” IEEE Transactions on Semiconductor Manufacturing, Vol. 9, No. 3, pp. 412–427. [3] Dummler, M. A., (2000) “Analysis of the Instationary Behavior of a Wafer Fab during Product Mix Changes,” Proceedings of the 2000 Winter Simulation Conference, pp. 1436–1442. [4] Fowler, J. W., G.. L. Hogg and S. J. Mason, (2001) “Workload Control in the Semiconductor Industry,” Production Planning & Control, Vol. 13, No. 7, pp.568–578. [5] Gallego, G. and Ozalp Ozer, (2001) “Integrating Replenishment Decisions with Advance Demand Information,” Management Science Vol. 47, No. 10, pp. 1344–1360. [6] Gilbert, S. M. and R. H. Ballou, (1999) “Supply Chain Benefits from Advanced Customer Commitments,” 1999 Journal of Operations Management 18, pp. 61–73. [7] Glassey, C. R., and M. G.. C. Resende, (1988) “Closed-Loop Job Release Control for VLSI Circuit Manufacturing,” IEEE Transactions on Semiconductor Manufacturing, Vol. 1, No. 1, pp. 36–46. [8] Guo, Ruey-Shan, Yea-Huey Su, and Shi-Chung Chang, (2004) “Collaborative Engineering Mechanism between IC Design House and Foundry,” Proceeding of the Fifth APIEMS Conference, pp. 38.3.1–38.3.7. [9] Karaesmen, F., John A. Buzacott, and Yves Dallery, (2002) “Integrating Advance Order Information in Make-to-Stock Production Systems,” IIE Transactions 34, pp. 649–662. [10] Kempf, Karl G., (2004) “Control-Oriented Approaches to Supply Chain Management in Semiconductor Manufacturing,” Proceeding of the 2004 American Control Conference, Boston, Massachusetts, June 30–July 2, pp. 4563–4576. [11] Kumar, S., and P. R. Kumar, (1994) “Performance Bounds for Queueing Networks and Scheduling Policies,” IEEE Transactions on Automatic Control, Vol. 39, No. 8, pp. 1608–1609. [12] Lou, S. X. C., and P. W. Kager, (1989) “A Robust Production Control Policy for VLSI Wafer Fabrication,” IEEE Transactions on Semiconductor Manufacturing, Vol. 2, No. 4, pp. 159–164. [13] Lozinski, C. and C. R. Glassey, (1988) “Bottleneck Starvation Indicators for Shop Floor Control,” IEEE Transactions on Semiconductor Manufacturing, Vol. 1, No. 4, pp. 147–153. [14] Lu, S. H., and P. R. Kumar, (1991) “Distributed Scheduling Based on Due Dates and Buffer Priorities,” IEEE Transactions on Automatic Control, Vol. 36, pp. 1406–1416. [15] Ni, Ming, Peter B. Luh, Bo Xiong, (2003) “An Inventory Control Policy for Maintenance Networks with Advance Demand Information,” Proceedings of IT–MLS 2003 December 15–16 [16] Odoni, A. R. and E. Roth, (1983) “An Empirical Investigation of the Transient Behavior of Stationary Queueing Systems,” Operations Research, Vol. 31, No. 3, pp. 432–455. [17] Ozer, Ozalp (2003) “Integrating Replenishment Decisions with Advance Demand Information,” Management Science Vol. 49, No. 3, pp. 255–272 [18] Tobin, K. W., and Leonard Neiberg, (2001) “Handbook of Silicon Semiconductor Metrology.” [19] Uzsoy, R., C. Lee, and L. Martin-Vega, (1994) “A Review of Production Planning and Scheduling Models in the Semiconductor Industry Part II: Shop-floor control,” IIE Transactions on Design and Manufacturing, Vol. 26, No. 5, pp. 44–55 [20] Wein, L. M., (1988) “Scheduling Semiconductor Wafer Fabrication,” IEEE Transactions on Semiconductor Manufacturing, Vol. 1, No. 3, pp. 115–129. [21] Zaslavsky, B. G., A. A. Rodriguez, and D. W. Collins, (1997) “Time-Optimal Control for Re-entrant Semiconductor Fabrication Lines,” Proceeding of the 36th Conference on Decision and Control, San Diego, California USA. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/38858 | - |
| dc.description.abstract | 半導體產業的投資成本甚高，因此在眾多不確定性的事件下，進行供應鏈控制更顯得其強烈的必要性。在過去許多文獻中，預知資訊對於改善供應鏈的績效已獲得相當程度的證明。本研究的主要目的是證明以半導體供應鏈的超額存貨資訊進行供應鏈控制是有用的，利用供應鏈的超額存貨資訊建立一個最佳化控制模式強化供應鏈績效監控。本研究主要分為三大部分，首先，回顧預知資訊如何運用在供應鏈管理上之文獻，其次，分析應用供應鏈的超額存貨資訊來進行供應鏈控制的可行性及其效用，最後建立一個流程時間如何在短暫的存貨調整下之暫態行為模式以及最佳化控制的數學模式來描述供應鏈如何在已知超額存貨資訊下進行存貨調整並且以簡單數值範例比較三個具代表性的存貨調整策略來說明可能會有最佳的供應鏈存貨調整策略路徑存在。 | zh_TW |
| dc.description.abstract | As the financial pressure is very high in the semiconductor manufacturing industry, there are strong needs to control the supply chains under uncertainties. Advanced information has been shown in many studies to be effective in improving the operation performance of supply chains. In this thesis, we develop an optimal control model for the semiconductor supply chains by using the advanced information of channel inventory. In the first part of this research, applications of advanced information in supply chain management are reviewed. In the second part, excess channel inventory information of semiconductor microchips and its feasibility and utility as an instrument for supply chain control are analyzed. In the final part, a flow time transient behavior model under short term inventory adjustment and mathematical optimal control model are described which is used to identify the stress point of the supply chains when the channel inventory undergoes adjustment. And using a numerical example to explain and compare three adjustment policies to show there is an optimal strategy of inventory adjustment. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-13T16:49:29Z (GMT). No. of bitstreams: 1 ntu-94-R92546016-1.pdf: 853642 bytes, checksum: 16311535e3d6b3946f5601c5e3fd7582 (MD5) Previous issue date: 2005 | en |
| dc.description.tableofcontents | 目錄 i
圖目錄 iii 表目錄 v 第一章 緒論 1 1.1 研究背景與動機 1 1.1.1 供應鏈超額存貨 2 1.1.2 機器與製程相關事件 5 1.1.3 工程事件 9 1.1.4 IC設計公司與晶圓廠互動事件 10 1.2 問題描述 12 1.3 研究目的與核心議題 13 1.4 研究方法與步驟 13 1.5 本論文組織與架構 16 第二章 文獻回顧 17 2.1 供應鏈控制 17 2.2 預知資訊的效益 18 2.3 工作負荷流量控制 20 第三章 存貨調整事件下之供應鏈控制方法 27 3.1 供應鏈控制之概念 27 3.2 流程時間與產能利用率之關係 28 3.2.1 工作負荷流動行為 30 3.2.2 流程時間暫態波動行為模式 31 3.3 存貨調整策略 39 3.4 產能限制下之動態最佳化控制模式 40 3.5 控制績效指標 44 3.6 供應鏈控制模式運算流程 45 第四章 供應鏈控制模式數值範例 47 4.1 供應鏈控制數值範例名目資料 47 4.2 流程時間之暫態波動範例 49 4.3 供應鏈控制數值結果與分析 50 4.4 利用供應鏈存貨資訊強化供應鏈控制之效益 53 第五章 結論與建議 55 5.1 結論 55 5.2 後續研究建議 56 參考文獻 57 附錄 A iSuppli新聞稿及相關資料補充 60 | |
| dc.language.iso | zh-TW | |
| dc.title | 利用超額存貨資訊強化生產控制 | zh_TW |
| dc.title | Controlling Supply Chains with Channel Inventory Information | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 93-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 范治民,陳正剛,廖大穎,劉達智 | |
| dc.subject.keyword | 供應鏈控制,預知資訊,流程時間暫態行為,最佳化控制模型, | zh_TW |
| dc.subject.keyword | supply chain control,advanced information,flow time transient behavior,optimal control model, | en |
| dc.relation.page | 77 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2005-06-24 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 工業工程學研究所 | zh_TW |
| Appears in Collections: | 工業工程學研究所 | |
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| ntu-94-1.pdf Restricted Access | 833.63 kB | Adobe PDF |
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