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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/41167完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 蔣明晃 | |
| dc.contributor.author | Chia-Yu Chang | en |
| dc.contributor.author | 張嘉祐 | zh_TW |
| dc.date.accessioned | 2021-06-14T17:21:13Z | - |
| dc.date.available | 2009-08-05 | |
| dc.date.copyright | 2008-08-05 | |
| dc.date.issued | 2008 | |
| dc.date.submitted | 2008-07-24 | |
| dc.identifier.citation | 王國琛, 2003, “結合限制規劃與數學規劃求解大型後艙空勤組員排班問題,” 碩士論文, 國立交通大學運輸科技與管理學系, 台北
李依龍, 2003, “航空進口貨物配送之研究,” 碩士論文,長榮大學經營管理研究所, 台南 馬士華、林勇, 2003, “供應鏈管理,” 高等教育出版社, 北京 張立志, 2005, “基於CPFR的供應鏈關係構建,” 上海財經大學, 上海 陳昭廷, 2007, “CPFR協同預測中之承諾機制的影響因子分析”, 碩士論文, 清華大學工業工程與工程管理學系, 新竹 賈振亮、司志剛, 2007, “基於混合整數規劃的旅遊車輛調度設計和仿真,” 電腦仿真, 2007年24卷8期, 第233-235頁 劉怡欣, 2006, “貨機飛航排程暨班表建立之問題,” 碩士論文, 長榮大學經營管理研究所 盧舜年, 2002, “供應鏈的協調運作,” 能力雜誌, 第551期 Amitava Mitra, James F. Cox and Richard R. Jesse Jr, “A note on determining order quantities with a linear trend in demand,” Journal of the Operational Research Society, 1984, Volume 35, No. 2, 141-144. Albright, B., “CPFR’s secret benefit,” Frontline Solutions. 2002, Volume 3, Issue 11, 30-35. Alexandria, VA, “APICS Dictionary, 9th ed.,” APICS, 1998 Axsater, S., “Exact Analysis of Continuous Review(R,Q) Policies in Two-Echelon Inventory Systems with Compound Poisson Demand,” Operations Research, 2000, Volume 48, Issue 5. Barratt, M. and Oliveira, A., “Exploring the experience of collaborative planning initiatives,” International Journal of Physical Distribution & Logistics Management, 2001, Volume 31, Issue 4, 266-289 Buchanan, J.T., “Alternative solution methods for the inventory replenishment problem under increasing demand,” Journal of the Operational Research Society, 1980, Volume 31, 615-620 Donaldson, W.A., “Inventory replenishment policy for a linear trend in demand-an analytical solution,” Operational Research Quarterly, 1977, Volume 28, 663-670. Ellram, L.M., “Supply Chain Management: the Industrial Organization Perspective,” International Journal of Physical Distribution and Logistics Management, 1991, Volume 21, 13-22. Erengüç, Ş. S., Simpson, N.C., and Vakharia, A.J., “Integrated production/ distribution planning in supply chains: an Invited review,” European Journal of Operational Research, 1999, Volume 115, 219-236 Esper, T. L. and Williams, L. R., “The value of collaborative transportation management (CTM): Its relationship to CPFR and information technology,” Transportation Journal, 2003, Volume 42, Issue 4, 55-65. Henery, R.J., “Inventory replenishment policy for increasing demand,” Journal of the Operational Research Society, 1979, Volume 30, 611-617. Holmstrom, J., Framling, K., Kaipia, R. and Saranen, J., “Collaborative planning forecasting and replenishment : New solutions needed for mass collaboration,” Supply Chain Management : an international Journal, 2002, Volume.7, No.3, 136-145. Katz, M. and Hannah, D., “A Closer Look at CPFR Processes: Working with Forecast Exceptions,” Bobbin, Jun 2000, Volume 42, Issue 10, 78-80 Kazim Sari, “On the benefits of CPFR and VMI: A comparative simulation study,” International Journal of Production Economics, June 2008, Volume 113, Issue 2, 575-586 Kopczak, L.R., “Logistics Partnership and Supply Chain Restructuring: Survey Results from the US Computer Industry,” Production and Operations Management, 1997, Volume 6, 226-247. Lee, H. L., Padmanabhan, V., and Whang, S., “The bullwhip effect in a supply chain,” Sloan Management Rev., 1997, Volume 38, Issue 3, 93-102. Ritchie, E., “The E.O.Q. for linear increasing demand: a simple optimal solution,” Journal of the Operational Research Society, 1984, Volume 35, No.10, 949-952. Sagar, N., “CPFR at Whirlpool Corporation: Two heads and an exception engine,” The Journal of Business Forecasting Methods & Systems, 2003, Volume 22, Issue 4, 3-8 Silver, E.A., “A simple inventory replenishment decision rule for a linear trend in demand,” Journal of the Operational Research Society, 1979, Volume 30, 71-75. Steermann, H., “A practical look at CPFR: The Sears-Michelin experience,” Supply Chain Management Review, 2003, Volume 7, Issue 4, 46. Stevens, G., “Integrating the supply chain,” International Journal of Physical Distribution and Logistics Management, 1989, Volume 19, Issue 8, 3-8. Tan, K.C., Kannan, V.R., and Handfield R.B., “Supply Chain Management: Supplier Performance and Firm Performance,” International Journal of Purchasing and Material Management, 1998, Vol. 34, 2-9. VICS, “Collaborative Planning, Forecasting and Replenishment,” Voluntary Interindustry Commerce Standards Association, 2002. VICS, “Collaborative Planning, Forecasting and Replenishment: An Overview,” Voluntary Interindustry Commerce Standards Association, 2004. Williams, S. H., “Collaborative planning, forecasting, and replenishment,” Hospital Material Management Quarterly, 1999, Volume 21, Issue 2, 44-58. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/41167 | - |
| dc.description.abstract | 企業面對競爭者的威脅，以及顧客對於產品服務水準的要求提高，供應鏈間之複雜度以及供應鏈中所花費之成本所佔產品之比例也日益增加，供應鏈管理也愈形重要。供應鏈管理雖可大幅提高企業之生產力、降低成本、改善服務品質與增加顧客滿意度，但隨著日益激烈的競爭與變化快速的消費者需求，仍需要更多有效的理論及實作方法來執行，協同規劃、預測及補貨Collaborative Planning, Forecasting and Replenishment(CPFR)便是其一。
而在過去許多討論CPFR文獻中，多偏向CPFR流程架構與導入效益等管理議題，以及針對預測模型的研究，學術上較少文獻提出協同補貨模型。而訂補貨是企業日常營運中不可缺少的重要活動，因此，很有必要對CPFR流程下協同補貨方法進行研究和探討。 本研究從企業成本的觀點出發，考量整體供應鏈的不同成本項目，求解營運成本極小的訂補貨建議量，研究不同情境下彈性訂補貨週期與物流產能限制對總成本及缺貨成本的影響。 透過本研究提出的模型，配合銷售預測資料以及不同情境求解，我們可以得到以下的結論： 企業在穩定的需求型態下，將原本傳統的固定補貨週期改為彈性補貨週期的訂補貨政策時，總成本上不會有太大的差異，卻能更有效的在對的時間點將對的產品補貨到適當的銷售點，因此在缺貨成本有大幅度的改善。此時物流產能也是影響缺貨成本的重要因素，重視消費者滿意度的企業，即使不改變訂補貨政策，也應維持充足的物流產能。如果企業處在變動較大的需求型態下，透過上下游的資訊共享，營運總部從整體的成本來規劃，採用彈性補貨週期的訂補貨政策能降低整體的營運成本與提升顧客滿意度。 | zh_TW |
| dc.description.provenance | Made available in DSpace on 2021-06-14T17:21:13Z (GMT). No. of bitstreams: 1 ntu-97-R95741046-1.pdf: 667337 bytes, checksum: 5e3840746d891a95a9b0b9a044f76d84 (MD5) Previous issue date: 2008 | en |
| dc.description.tableofcontents | 誌謝 i
摘要 ii Abstract iii 目錄 v 表目錄 vii 圖目錄 viii 第一章 緒論 1 1.1 研究動機 1 1.2 研究目的 2 1.3 研究架構 3 1.4 論文架構 4 第二章 文獻探討 5 2.1供應鏈管理 5 2.1.1供應鏈與供應鏈管理(Supply Chain Management)之定義 5 2.1.2傳統供應鏈面臨的問題 6 2.2協同商務與協同規劃預測補貨之定義 7 2.2.1協同商務的流程步驟及模式 7 2.2.2 CPFR 基本原理 10 2.3存貨控制與管理 14 2.3.1 (s,Q)補貨策略 14 2.3.2 (s,S)補貨策略 15 2.3.3 (R,S)補貨策略 15 2.3.4 (R,s,S)補貨策略 16 2.3.5 動態補貨規劃 16 2.5 小結 19 第三章 基於CPFR流程的訂補貨模型 21 3.1模型概念 21 3.2模型基本假設 24 3.3建立建立最適化求解模型模型 26 3.3.1參數說明 26 3.3.2決策變數 26 3.3.3引申變數 27 3.3.3目標函式 27 3.3.4 限制式 28 第四章 情境分析 29 4.1 目前狀況與銷售預測資料敘述 29 4.1.1 資料 30 4.1.2 與銷售預測資料相關的假設 30 4.2 情境分析 31 4.2.1 情境定義 31 4.2.2 穩定的需求型態 33 4.2.3 變動的需求型態 34 4.2.4 車輛數量變動的對成本的影響 36 4.2.5 不同補貨政策下總成本的分析比較 39 4.2.6 不同補貨政策下缺貨成本的分析比較 41 4.3 小結 43 第五章 結論與未來研究方向 44 5.1 研究結論 44 5.2 研究貢獻 45 5.3 研究限制 45 5.4 未來研究方向 45 參考文獻 47 | |
| dc.language.iso | zh-TW | |
| dc.subject | 供應鏈管理 | zh_TW |
| dc.subject | OPL | zh_TW |
| dc.subject | 混合整數規劃 | zh_TW |
| dc.subject | 訂補貨模型 | zh_TW |
| dc.subject | 協同補貨 | zh_TW |
| dc.subject | supply chain management | en |
| dc.subject | Replenishment model | en |
| dc.subject | Mixed integer programming | en |
| dc.subject | Collaborative replenishment | en |
| dc.subject | OPL | en |
| dc.title | 運用協同補貨概念於訂補貨模型之研究 | zh_TW |
| dc.title | Applying the concept of collaborative replenishment in a replenishment model | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 96-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.coadvisor | 郭瑞祥 | |
| dc.contributor.oralexamcommittee | 陳穆臻,林我聰 | |
| dc.subject.keyword | 訂補貨模型,協同補貨,供應鏈管理,混合整數規劃,OPL, | zh_TW |
| dc.subject.keyword | Replenishment model,Collaborative replenishment,supply chain management,Mixed integer programming,OPL, | en |
| dc.relation.page | 46 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2008-07-26 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 商學研究所 | zh_TW |
| 顯示於系所單位： | 商學研究所 | |
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