透過供應鏈管理改善工業電子產品交貨期之研究

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：3

、訪客IP：18.219.189.247

姓名

江啟銘(Chi-ming Chiang) 查詢紙本館藏

畢業系所

高階主管企管碩士班

論文名稱

透過供應鏈管理改善工業電子產品交貨期之研究

相關論文

★ 「達因國際」工業自動化的預警雲端服務平台商業模式規劃	★ 企業流程再造的應用－一個中國紡織公司在變局下的對策
★ 政府服務便利商店化的可行性分析	★ 豐田產業車輛在中國市場的競爭策略分析
★ 中國氣動元件代理商之競爭策略分析---以A公司為例	★ 定期貨櫃航商之發展策略分析── 以某台灣航商在大陸市場之發展為例
★ 企業採購電子化之探討-以某電子企業資訊產品採購為例	★ 台灣電子業ODM廠商之碳足跡因應方案─以Z公司為例
★ 採購程序與組織變革下的拒抗行為研究─以A公司為例	★ 在不確定環境下的連鎖餐飲品牌之人力資源策略─以J公司為例
★ 冷凍空調產業運用流程再造概念於縮短開發時程之研究─以A公司為例	★ 智能建物能源管理服務之商業模式探討─以S公司為例
★ PCB樣品廠業務人員獎金制度設計之研究─以S公司為例	★ 資訊系統整合廠商的經營模式研究─以A公司為例
★ 半導體供應鏈導入精實模式之探討─以A公司導入B公司精實模式為例	★ 半導體通路產業研發人員的激勵機制探討—以W公司為例

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

至系統瀏覽論文 ( 永不開放)

摘要(中)

20世紀90年代以來，隨著各種自動化和資訊技術在製造業中不斷應用，製造生產率已被提高到了相當高的程度，市場進入買方市場。各企業不僅要製造出適應市場需求的產品，還要服務上致勝。越來越多的企業將目光轉向產品全生命週期中的各供應環節和整個供應鏈系統。
本研究主要以個案公司U公司的實際情況為切入點，運用供應鏈管理的理論，通過分析個案公司的生產情況與在整個產業供應鏈中所處的地位，來探討如何縮短交貨期，並達到預計的目標。
本研究將從U公司目前的銷售流程、生產流程開始分析討論，找出目前交貨期無法提早的原因，並建議導入滾動預測作業模式，來提旱交貨的週期。

摘要(英)

Since the 1990s, various types of industrial automation technology and information technology have been applied in the manufacturing sector, resulting in escalating productivity gains. While the global economy switch from a seller’s market into a buyer’s market, each company not only has to improve its products, but also improve its service provided to the customers in order to gain competitiveness in the market. As a result, many companies started to focus on issues that affect each and every stage in the product life cycle. Hence, the importance to supply chain management gained much increased.
This study focuses on the real life case of Company-U, which is a leader in data collection equipments. The objective is to reduce order delivery cycle to improve its competitiveness.
The market position, production and supply chain settings of Company-U was studied. The sales, procurement and production process were examined, in order to unearth why order delivery cycles cannot be shortened, and also the opportunities for improvements. This study proposes a new operations model based on rolling forecast, and the possible improvements, and success factors of the new model are analyzed.

關鍵字(中)

★ 供應鏈
★ 滾動預測
★ 交貨期

關鍵字(英)

★ Supply chain
★ Rolling forecast
★ order delivery cycle

論文目次

第一章緒論 1
1.1研究背景 1
1.2研究問題與目的 3
第二章文獻探討 6
2-1 存貨管理 6
2-2 電子化採購 10
2-3經營模式 11
2-4 滾動預測 13
第三章個案公司現況 21
3-1個案公司背景簡介 21
3-2個案公司現況 22
第四章改善方案與可行性評估 31
4-1 改善目標的設訂及可能的方案 31
4-2 實施方案設計 32
4-3組織面可行性評估 40
4-4技術面可行性評估 41
4-5成本效益分析 42
第五章結論與建議 43
5-1結論 43
5-2建議 43
參考文獻 45
中文部份 45
英文部份 46

參考文獻

中文部份
1. 「RFID應用領域中物流行業仍為領頭羊」，http://info.jctrans.com/zxwl/zhwl/20071018533611.shtml，存取时间：2007/10/18。
2. 「德國漢莎航空維修公司採用 RFID加快飛機的維修過程」，http://www.ca800.com/news/html/2007-12-21/n76034.html，存取时间：2007/12/21。
3. 王亞（2008），「靜聽企業變身協奏曲——資本運作進入自動識別產業之後」，http://www.autoid-china.com.cn/Article/html/20080424/2646.html，存取日期：2008/4/24。
4. 李明學 (2007)，以價值鏈觀點探討RFID應用提昇資訊產品配銷商作業效率 ── 以U公司為例，大同工學院 EMBA論文
5. 李富民，洪瑞文 (2001)，「智慧型供應鏈管理系統」，第二屆電子化企業經營管理理論暨實務研討會，pp. 155-165。
6. 林耿弘（1999），「電子產業的合作模式──專業電子製造服務EMS」，新電子科技雜誌，vol.156 No.3 pp.281-284。
7. 俞玉敏（2001），台灣個人電腦產業分工至整合趨勢之研究－契約製造服務（CEM）廠商為例，銘傳大學管理科學研究所，未出版之碩士論文。
8. 莊凱婷（2002），「全球EMS產業發展概況」，（2002.11.20）。
9. 郭瑞祥，蔣明晃，陳亞男，劉基全 (2004)，「多廠生產規劃之供應鏈決策支援模式」，臺灣大學管理論叢，15(1), pp. 49-74。
10. 陳麗玉 (2000)，全球化供應鏈管理績效評估與探討，國立政治大學資訊管理學系碩士論文。
11. 張怡筠 (2006)，CPFR中滾動式預測的關鍵因數探討，國立清華大學資訊系統與應用研究所碩士論文。
12. 楊瑞洋（2001），我國電子製造廠商之製造策略與競爭模式研究，國立交通大學經營管理研究所，未出版之碩士論文。
13. 詹子嫻 (2007)，「臺北從B2B到CPFR─聯合通商協助企業掌握變動、快速反應」，http://app.digitimes.com.tw/，存取日期：2007/6/11。
14. 廖苓卉（2000），專業電子製造廠商營運模式之研究----EMS與ODM廠商之比較，國立臺灣大學國際企業學研究所碩士論文。
15. 劉一強，黃思明，范錚強，黃明達(2003), 經濟部「資訊業電子化AB計畫」結案報告，經濟部技術處。
16. 謝依潔(2007), 供應鏈滾動預測與訂單策略之模擬研究，中央大學資訊管理學系碩士論文。
英文部份
1. Al-Zubaidi, H., and Tyler, D. (2004), “A Simulation Model of Quick Response Replenishment of Seasonal Clothing,” International Journal of Retail & Distribution Management, 32(6), pp. 320-327.
2. Aviv, Y. (2001), “The Effect of Collaborative Forecasting on Supply Chain Performance,” Management Science, 47(10), pp. 1326-1343.
3. Biggs, J., and Campion, W. (1982), “The Effect and Cost of Forecast Error Bias for Multiple-Stage Production-Inventory Systems,” Decision Sciences, 13(4), pp. 570-584.
4. Brown, L. K., Inman, R. A., and Calloway, A. J. (2001), “Measuring the Effects of Inventory Inaccuracy in MRP Inventory and Delivery Performance,” Production Planning & Control, 12(1), pp. 46-57.
5. Changkyu, P. (2007), “An Analysis of the Lead Time Demand Distribution Derivation in Stochastic Inventory Systems,” International Journal of Production Economic, 105(1), pp. 263-272.
6. Chockalingam, M. (2003), “Forecast Accuracy and Safety Stock Strategies,”DemandPlanning.Net, http://demandplanning.net/documents/dmdaccuracywebVersions.pdf, Accessed Date: 2007/6/11
7. Chopra, S., and Meindl, P. (2001), Supply Chain Management: Strategy, Planning, and Operation, Prentice Hall: Upper Saddle River, NJ.
8. Flaherty, M.T. (1996), Global Operations Management, McGraw-Hill.
9. Fleisch, E., and Tellkamp, C. (2005), “Inventory Inaccuracy and Supply Chain Performance: A Simulation Study of A Retail Supply Chain,” International Journal of Production Economics, 95(3), 2005, pp. 373-385.
10. Holweg, M., Disney, S. M., Hines, P., and Naim, M. M. (2005), “Towards Responsive Vehicle Supply: A Simulation-Based Investigation into Automotive Scheduling Systems,” Journal of Operations Management, 23(5), pp. 507.
11. i2 Technologies US, Inc. (2002), “Reaping The Benefits of A Comprehensive Approach to Supply Chain Management at Infineon Technologies,” I2 Solution, http://www.i2.com/assets/pdf/606D0E94-BDD4-4EAC-A920901286A8991B.pdf, Accessed Date: 2007/6/11.
12. Jeunet, J. (2006), “Demand Forecast Accuracy and Performance of Inventory Policies under Multi-Level Rolling Schedule Environments,” International Journal of Production Economics, 103(1), pp. 401-419.
13. Kim, C., Jun, J., Baek, J., Smith, R., and Kim, Y. (2005), “Adaptive Inventory Control Models for Supply Chain Management,” International Journal of Advanced Manufacturing Technology, 26(9), pp. 1184-1192.
14. Lucking-Reiley, D., and Spulber, D. F. (2001), “Business-to-Business Electronic Commerce,” Journal of Economic Perspectives, 15(1), pp. 55-68.
15. Marilyn, M. H., Lawrence P. E., and Sharon C. (2000), “Supply Chain Forecasting – Collaborative Forecasting Supports Supply Chain Management,” Business Process Management Journal, 6(5), pp. 392-407.
16. Martinez, J. C., and Ioannou, P. G. (1999), “General-Purpose Systems for Effective Construction Simulation,” Journal of Construction Engineering and Management, 125(4), pp. 265-276.
17. Mason, J. R., and Towill, D. R. (1999), “Total Cycle Time Compression and the Agile Supply Chain,” International Journal of Production Economics, 62(1), pp. 61-73.
18. McCarthy, T. M., and Golicic, S.L. (2002), “Implementing Collaborative Forecasting to Improve Supply Chain Performance,” International Journal of Physical Distribution & Logistics Management, 32(6), pp. 431-454.
19. Morash, E. A. (2001), “Supply Chain Strategies, Capabilities and Performance,” Transportation Journal, 41(1), pp. 37-54.
20. Nordhaus, W.D. (1987), “Forecasting Efficiency: Concepts and Applications,” The Review of Economics and Statistics, 69(4), pp. 667-674.
21. Optimize Magazine (2003), “How to Make Your Forecasts More Accurate”,,” Optimize magazineMagazine, March 2003, http://www.itpub.net/333272.html
22. Perry, M., and Sohal, A. S. (2001), “Effective Quick Response Practices in A Supply Chain Partnership – An Australian Case Study,” International Journal of Operations & Production Management, 21(5), pp. 840-854.
23. Riddalls, C. (2000), “Modeling the Dynamics of Supply Chains,” International Journal of Systems Science, 31(8), pp. 969-976.
24. Riddalls, C. E., Bennett, S., and Tipi, N. S., (2000), “Modeling the Dynamics of Supply Chains,” International Journal of Systems Science, 31(8), pp. 969-976.
25. Silver, E., and Zufferey, N. (2005), “Inventory Control of Raw Materials under Stochastic and Seasonal Lead Times,” International Journal of Production Research, 43(24), pp. 5161-5179.
26. Simatupang, T.M., Sandroto, I.V., and Lubis, S. B. H. (2004), “Case Study Supply Chain Coordination in A Fashion Firm,” Supply Chain Management: An International Journal, 9(3), pp. 256-268.
27. Simatupang, T.M., Wright, A. C., and Sridharan, R. (2002), “The Knowledge of Coordination for Supply Chain Integration,” Business Process Management Journal, 8(3), pp. 289-308.
28. Simchi-Levi, D., Kaminsky, P., and Simchi-Levi, E. (2003a), Designing and Managing the Supply Chain: Concepts, Strategies, and Case Studies, McGraw-Hill: Irwin.
29. Swaminathan, J. M., Smith, S. F., and Sadeh, N. M. (1998), “Modeling Supply Chain Dynamics: A Multiagent Approach,” Decision Sciences, 29(3), pp. 607-632.

指導教授

范錚強

審核日期

2008-9-30

推文