政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/31079
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113160/144130 (79%)
Visitors : 50751858      Online Users : 660
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version
    政大典藏 > College of Commerce > Department of MIS > Theses >  Item 140.119/31079


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/31079


    Title: CPFR流程下的補貨模型
    Authors: 陳志強
    Contributors: 林我聰
    陳志強
    Keywords: 協同規劃預測補貨
    補貨模型
    演化策略法
    禁忌搜尋法
    CPFR
    replenishment model
    evolution strategies
    tabu search
    Date: 2007
    Issue Date: 2009-09-14 09:12:54 (UTC+8)
    Abstract: 協同規劃、預測與補貨﹙Collaborative Planning, Forecasting and Replenishment; CPFR﹚是協同商務中的一個應用實務，主要強調供應鏈上買賣雙方協同合作流程的概念，以提升供應鏈上流程的處理效率。未來企業的競爭將是產品背後整體供應鏈的激烈競爭，能對於不斷變化的市場需求作出有效預測，進而快速反應的企業將脫穎而出。對於庫存與補貨的掌控能力更將是企業決勝的關鍵因素之一。
    CPFR 中的補貨模型是根據銷售預測、訂單預測、存貨策略與供給面資訊來做實際訂單，以作為補貨之用。補貨模式的準確性可以使賣方針對不同的需求來有效分配未來訂單預測的需求量，並降低安全庫存；買方則可根據訂單預測來調整庫存策略與採購數量。
    現今廣用的供應商管理存貨（Vendor Managed Inventory, VMI）並沒有像CPFR加入更多的協同項目與精神，因此比較VMI與CPFR的補貨流程的差異性與優劣性，進而提供企業導入CPFR的補貨流程是相當重要的。
    本研究以補貨階段為主題，除了探討協同補貨模式所需具備的屬性與輸入變數外，更將建構一個整合供應鏈上、下游協同資訊與符合協同訂單預測特性之預測模型，以提升補貨準確度，進而堆砌出整個CPFR 協同補貨模式，並加以與現今企業廣為採用的供應商管理存貨（Vendor Managed Inventory, VMI）的補貨模式進行比較，證明CPFR優於VMI，進而可供欲導入CPFR 流程下協同補貨模式或一般補貨模式的相關人員之參考。
    CPFR (Collaborative Planning, Forecasting, and Replenishment) is one of the applications of collaborative business. The stressed concept is the cooperation process of sellers and buyers on the supply chain in order to increase the handling efficiency. In the future, the industries would compete on the whole supply chains behind products—only the industry that is capable of making accurate predictions according to the constantly changing market and reacts immediately has the chance of winning. Being able to control the inventory and supply effectively would be one of the key factors leading to an industry’s success.
    The replenishment model of CPFR is to fill out the order according to the sales prediction, order prediction, inventory strategy, and supply information. The precision of the replenishment model could affect both suppliers and customers. The former can distribute products properly and meet the different demands from the upcoming orders so as to reduce inventory; the latter are able to revise the inventory strategy and amount of order according to the order prediction.
    A few research papers aimed at the replenishment model, though, most still focus on the management issues like the process framework of CPFR and the implementation benefit. Hence, establishing both an information system that coordinates customer demand with suppliers and a collaborative replenishment model that increases the accuracy of predictions is fairly important.
    The phase of replenishment, as the subject of this study, will approach on parameters the collaborative replenishment model needs to input and combine evolution strategies with tabu search to establish a replenishment model under the process of CPFR.
    Reference: 中文部分
    1. 石志強，民89，「在延至付款期限下的損耗性存貨模式」，中原大學工業工程研究所碩士論文。
    2. 何明璋，民93，「供應商管理庫存模式下最佳之聯合補貨策略」，義守大學工業工程與管理研究所碩士論文。
    3. 李志勇，民91，「多廠整合型生產指派與排程系統」，東海大學工業工程與經營資訊研究所碩士論文。
    4. 林師壇，民91，「禁忌搜尋法與遺傳演算法混合模式在地下水復育優選問題之應用」，國立中興大學環境工程研究所碩士論文。
    5. 林慈傑，民92，「以遺傳演算法求解類運輸問題模式化的多廠訂單分配問題」，國立台灣大學工業工程所，研究所碩士論文。
    6. 高敏純，民93，「成衣業全球運籌管理訂單分配決策支援系統之研究」，國立臺北科技大學/商業自動化與管理研究所碩士論文。
    7. 張建朝，民91，「二階供應鏈體制下合併補貨問題之研究」，東海大學工業工程與經營資訊研究所碩士論文。
    8. 張嘉仁，「進入即時、彈性之「協同商務」時代」，資訊情報，2002。
    9. 陳世運，「淺談電子市集發展主流---協同商務」，FIND，2001。
    10. 陳建宇，「以基因演算法結合層級分析法求解多廠區訂單分配問題」，國立政治大學資訊管理學所碩士論文，2006。
    11. 陳建銘，民92，「多廠區緊急訂單承接評估及跨廠產能規劃探討」，元智大學工業工程與管理研究所碩士論文。
    12. 陳寬茂，「CPFR流程下之訂單預測方法」，國立政治大學資訊管理學所碩士論文，2005。
    13. 曾煥文，民88，「跨廠訂單分配模式之構建─應用模擬退火演算法」，元智大學工業工程與管理研究所碩士論文。
    14. 黃馨儀，民93，「多階存貨系統在逐一補貨策略下之METRIC模式探討」，國立清華大學工業工程與工程管理研究所碩士論文。
    15. 黃蘭禛，「CPFR流程下之銷售預測方式-混合預測模型」，國立政治大學資訊管理學所碩士論文，2004。
    16. 劉珮伶，民93，「考量產品配送下之多廠區訂單分配問題應用門檻值接受法，元智大學工業工程與管理研究所碩士論文。
    17. 魏志強，「合作式商務的經典CPFR－Wal-Mart和Sara Lee示範案例」，資策會電子商務應用推廣中心。
    英文部分
    1. Aggarwal, S. P. and Jaggi, C. K., “Ordering policy for decaying inventory”, International Journal of Systems Science, Vol. 20, pp. 151-155, 1989.
    2. Aggarwal, S. P., “Note on：An order level lot size inventory model for deteriorating items by Y. K. Shah”, AIIE Transactions, Vol. 11, No. 4, pp. 344-346, 1979.
    3. Buzacott. J. A.. “Economic order quantities with inflation”, Operational Research Quarterly, Vol. 26, pp. 553-558, 1975.
    4. Chan,F.T.S.,Chung,S.H. and Wadhwa,S.“A hybrid genetic algorithm for production and distribution,”Omega（3）2005,pp:345-355
    5. Chandra, M. J. and Bahner M. L., “The effects of inflation and time value of money on some inventory systems”, International Journal of Production Research , Vol. 23, No.4 pp. 723-730, 1985.
    6. Chung, K. H., “Inventory control and trade credit revisited ”, Journal of the Operational Research Society, Vol. 40, No. 5, pp. 495-498, 1989.
    7. Chung, K. J., “Optimal ordering time interval taking account of time value”, Production Planning and Control, Vol. 7, No. 3, pp.264-267, 1996.
    8. Cohen, M. A., “Joint pricing and ordering policy for exponentially decaying inventory with know demand”, Naval Research Logistics Quarterly, Vol. 24, pp. 257-268, 1977.
    9. D. Seifert, “Collaborative Planning, Forecasting and Replenishment,” Preprint Edition, , pp.29-52, 2002.
    10. Daellenbach, H. G., “Inventory control and trade credit”, Journal of the Operational Research Society, Vol. 37, No. 5, pp. 525-528, 1986.
    11. Davis, D.J. and Mabert,V.A.“Order Dispatching and Labor Assignment in Cellular Manufacturing,” Decision Science（31:4）2000,pg.754
    12. Davis, R. A. and Gaither, N., “Optimal ordering policies under conditions of extended payment privileges”, Management Science, Vol. 31, pp. 499-509, 1985.
    13. Ghare, P. M. and Schrader, G. F., “A model for an exponentially decaying inventory”, Journal of Industrial Engineering, Vol.14, pp.238-243, 1963.
    14. Glover,F. and Laguna,M. Tabu Search,Kluwer Academic,Lodon,2002
    15. Goyal, S. K., “Economic order quantity under conditions of permissible delay in payments ”, Journal of the Operational Research Society, Vol. 36, No. 4, pp. 335-339, 1985.
    16. Hax, A. C. and Candea, D., Production and Inventory Management, Prentic-Hall, New Jersey, pp.133-134, 1984.
    17. Heng, K. J., Labban, J. and Linn, R. J., “An order-level lot size inventory model for deteriorating items with finite replenishment rate”, Computers and Industrial Engineering , Vol. 20, No. 2, pp. 187-197, 1991.
    18. isra, R. B., “Optimum production lot-size model for system with deteriorating inventory”, International Journal of Production Research, Vol. 13, No. 5, pp. 495-505, 1975.
    19. Jaggi, C. K. and Aggarwal, S. P., “Credit financing in economic ordering policies of deteriorating items” , Internationa Journal of Production Economics, Vol. 34, pp. 151-155, 1994.
    20. Jaggi, C. K. and Aggarwal, S. P., “Ordering policies of deteriorating items under permissible delay in payments” , Journal of the Operational Research Society, Vol. 46, pp. 658-662, 1995.
    21. Jammal, A. M. M., Sarker, B. R. and Wang, S., “An ordering policies for deteriorating items with allowable shortages and permissible delay in payment” , Journal of the Operational Research Society, Vol. 48, pp. 826-833, 1997.
    22. Tersine, R. J., Principles of Inventory and Materials Management, PTR prentice Hall, Englewood Cliffs, New Jersey, pp.95, 1994.
    23. Thomas Bäck, “Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms”, Oxford University Press, New York, 1996.
    24. Thomas Back, Frank Hoffmeister, and Hans-Paul Schwefel, “A survey of evolution Proceedings of the 4th International Conference on Genetic Algorithms, pp. 2-9, July 1991.
    25. Thomas, K., “Collaborative design: what is it?”, Automation in Construction, 9（4）, pp. 409-415, 2000.
    26. Voluntary Interindustry Commerce Standards Association（VICS） , “CPFR _Overview ” , May 18,2004
    27. Voluntary Interindustry Commerce Standards Association（VICS） , “Distribution Center ReplenishmentCollaboration” , February 2, 2005
    28. Voluntary Interindustry Commerce Standards Association（VICS） , “Roadmap to CPFR” ,1999
    29. Voluntary Interindustry Commerce Standards Association（VICS） , May 18,2004 , “CPFR _Overview ”
    30. Wee, H. M., “A deterministic lot size inventory model for deteriorating items with shortages and a declining market ”, Computers Operations Research, Vol. 22, No. 3, pp. 345-356, 1995.
    31. Wee, H. M., “Batch size shipment for made-to-order production”, Chung Yuan Journal, Vol. 23, No.1, pp.99-103, 1995.
    32. Wee, H. M., “Economic product lot size for deteriorating items with partial backordering”, Computers and Industrial Engineering, Vol. 24, No. 3, pp.449-458, 1992.
    33. Wee, H. M., “Join pricing and replenishment policy for deteriorating inventory with declining market”, International journal of production economics, Vol. 40, pp.163-171, 1995.
    34. Wee, H. M., “Perishable commodities inventory policy with partial backordering”, Chung Yuan Journal, Vol. 12, pp.199-198, 1992.
    35. Wheelwright, S.C. and Makridakis, S. , “Forecasting Methods for Management”, New York: John Wiley & Sons, Inc, 1973.
    36. Wu,S.D. and Golbasi H. ”Multi-Item,Multi-Facility Supply Chain Planning : Models, Complexities, and Algorithms,” Computational Optimization and Applications（28）2004,pp.325-356
    37. Y. Aviv, ”The Effect of Collaborative Forecasting on Supply Chain Performance,” Management Science, Vol.47, No.10, pp.1226-1242, 2001.
    38. Zaid, T., Balkhi and Benkherouf, L., “On the optimal replenishment schedule for an inventory system with deterioratingitems and time-varying demand and production rates ”, Computers and Industrial Engineering , Vol. 30, No. 4, pp. 823-829, 1996.
    Description: 碩士
    國立政治大學
    資訊管理研究所
    93356008
    96
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0093356008
    Data Type: thesis
    Appears in Collections:[Department of MIS] Theses

    Files in This Item:

    File SizeFormat
    index.html0KbHTML2388View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback