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    政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 >  Item 140.119/60230
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/60230


    Title: 綜合製造商與逆物流業者之營運模式下的穩健再生物料分配決策
    The robust distribute strategies of regeneration materials under the business model which combine with manufacturer and recycling business
    Authors: 張志傑
    Contributors: 林我聰
    張志傑
    Keywords: 逆物流
    逆物流網路
    再生物料分配
    回收規費
    穩健最佳化
    reverse logistic
    reverse logistic network
    egeneration materials distribution
    recycle penalty
    obust optimization methods
    Date: 2011
    Issue Date: 2013-09-04 17:02:03 (UTC+8)
    Abstract: 隨著產品生命週期的縮短,大量的廢棄物對人類生存環境開始造成威脅,各國開始正視廢棄物管理的議題,紛紛立法來規範廢棄物的回收管理。企業為了成本、企業形象、法律規定等因素開始將逆物流(reverse logistic)納入其營運規劃。但在逆物流資訊難以取得以及具備大量的不確定因素下,許多企業選擇將逆物流外包給專業的逆物流業者,以專注在其核心能力之上。
    在單純的外包模式下,企業時常面臨回收商無法穩定供給再生物料之問題,若再生物料使用比率無法達到法規要求,則需繳納高額的回收規費,部分企業甚至以新產品分解為新再生物料來補足再生物料短缺以迴避高額的回收規費;回收商則會面臨企業再生物料需求數量不穩定或是數量不足,單次運輸成本大幅提高,使其表現出只願回收退回商品取得回收補貼,但不分解販售再生物料,而是堆放退回商品於集散處的傾向。
    本研究提出一綜合回收商及製造商之緊密營運模式,考量連續時期、利潤共享的條件下,建立一數量決策模型,以整體利潤最大化為目標,探討不穩定因素下之每期穩健再生物料分配決策。因應大環境之不穩定因素,將以建構情境為基礎之穩健最佳化模式求得穩健解。
    In recent year, enterprises consider reverse logistic in their processing because of cost, corporate image and government policy. But there are lots of uncertainty factors in the reverse logistic, in order to focus on enterprise’s professional skills, more and more enterprises outsource their reverse logistics.
    Both enterprise and professional reverse logistic processor have to spend more costs to keep their cooperation in recent outsourcing model. Thus, this thesis builds a model which combine enterprise`s business model and professional reverse logistic processor`s business model. In this model, assumes that profit should be share between both of them, and apply Robust optimization methods to solve uncertainty factors in reverse logistic. The thesis finds out the best distribution ratio of regeneration materials in each period.
    Reference: 1. 李惠卿,2008,多處理廠環境下逆物流最適訂單接受量與處理量之研究,國立政治大學資訊管理碩士班碩士論文。
    2. 林坤德,2003,逆物流再製造存貨策略之最佳經濟生產與訂購批量之探討,雲林科技大學工業工程與管理研究所碩士論文。
    3. 林尚達,2007,具可靠度及穩健考量的新產品全球運籌模式之探討,國立政治大學資訊管理學系碩士論文。
    4. 林柏超,2010,在逆物流中考量不完美品質與第三方物流之最適存貨與定價策略,中原大學工業與系統工程研究所碩士論文。
    5. 張禹晰,2003,電子電器產品再生策略選定與成本效益評估及智慧型決策支援系統之開發,國立成功大學資源工程學系碩士論文。
    6. 張益菁,2006,考量需求不確定之單階多廠產能規劃問題—以TFT-LCD產業為例,國立清華大學工業工程與工程管理學系碩士論文。
    7. 陳永仁,黃揮原,2003,『廢棄物回收政策-台灣經驗』,台灣公共衛生雜誌,第22卷,第4期,318~326。
    8. 黃貞元,2007,考慮回收率之逆物流存貨模式之最佳訂購批量與最佳再回收製造批量,雲林科技大學全球運籌管理研究所碩士論文。
    9. 黃詩彥,1999,企業逆物流之探索研究,東吳大學企業管理學系碩士論文。
    10. 黃慨郁,1996,供應鏈網路中考量回收機制之主規劃排成演算法,國立台灣大學資訊管理研究所碩士論文。
    11. 楊思駿,2006,應用免以演算法於逆物流存貨模式之研究,南台科技大學工業管理研究所碩士論文。
    12. 楊昭峯,2002,製造策略對逆向供應鏈績效之影響,國立成功大學工業管理研究所碩士論文。
    13. 溫士城,2006,逆物流下的最佳經濟定購批量與製造批量,國立政治大學資訊管理學系碩士論文。
    14. 溫麗琪,2005,『廢棄物回收處理費之回收處理市場及誘因效果』,人文及社會科學集刊,第17卷,第3期,491~520。
    15. 謝成章,2006,綠色供應鏈協同運作策略之研究-以資訊製造業個案公司為例,國立政治大學資訊管理學系碩士論文。
    16. 魏凡峰,2002,逆物流對供應鏈體系成本與時間之影響,國立成功大學工業管理科學系碩士論文。
    17. SUNIL CHOPRA、PETER MEINDL,2004,供應鏈管理,台灣培生教育出版股份有限公司,第二版一刷。
    18. 行政院環保署,2005,『行政院環境保護署94年資源回收各項物品回收清除處理費率及補貼費率』,http://recycle.epa.gov.tw/。
    19. 供應鏈管理協會(Supply Chain Council, SCC),http://supply-chain.org/。
    20. 李昌雄,1997,商業自動化與電子商務導論,華泰出版。
    21. 陳文賢,陳靜枝,2010,管理科學:作業研究與電腦應用,華泰文化事業股份有限公司,初版。
    22. Bai, D., Carpenter T., and Mulvey, J. (1997). Making a case for robust optimization models. Management Science, 43(7), 895-907.
    23. Becker. S. W. and Whisler, T. L. (1967). The Innovative Organization: A Selective View of Current Theory and Research. Journal of Business, Vol. 40,462-469.
    24. Bowersox, D.J. and Closs, D.J. (1996). Logistical Management: The Integrated Supply Chain Process. USA:McGraw-Hill.
    25. Butler, R.J., Ammons, J.C., and Sokol, J. (2003). A Robust Optimization Model for Strategic Production and Distribution Planning for a New Product. University of Central Florida, Orlando.
    26. Carter, C.R. and Ellram, L.M. (1998). Reverse logistics: A review of the literature and framework for future investigation. Journal of Business Logistics, 19(1), 85-102.
    27. Council of Logistics Management. (1998). What it’s all about. OakBrook, IL: Council of Logistics Management, 4-6.
    28. de Brito, M.P., Dekker, R., and Flapper, S.D.P. (2002). Reverse Logistics: a review of case studies. Econometric Institute Report EI, 2002(21).
    29. Fisher, M.L., Heyman, S.J. (1997). What is the right supply chain for your product? Harvard Business Review March, 105-116.
    30. Fleischmann, M., Bloemhof-Ruwaard, J.M., Dekker, R., van der Laan, E.A., van Nunen, J.A.E.E., and van Wassenhove, L.N. (1997). Quantitative models for reverse logistics. European Journal of Operational Research, 103(1), 1-17.
    31. Guide, V.D.R., Jayaraman, V., Srivastava, R., and Benton, W.C. (2003). Supply-chain management for recoverable manufacturing systems. Interfaces, 30(3), 125-142.
    32. Harrington, L. (1995). Logistics, Agent for Change: Shaping the integrated supply chain. Traffic & Distribution, 36(1), 30-34.
    33. Hong, I.H., Assavapokee, T., Ammons, J., Boelkins, C., Gilliam, K., Oudit, D., Realff, M., and Vannicola, J.M. (2006). Planning the e-scrap reverse production system under uncertainty in the state of Georgia: a case study. IEEE Transactions, 29(3), 150-162.
    34. Jayaraman, V., Patterson, R.A., and Rolland, E. (2003). The design of reverse distribution networks: Models and solution procedures. European Journal of Operational Research, 150(1), 128-149.
    35. Knemeyarm, M.K., Ponzurick, T.G., and Logar, C.M. (2002). A qualitative examination of factors affection reverse logistics systems for end-of-life computers. International Journal of Physical Distribution & Logistics Management, 32(6), 455-479.
    36. Kouvelis, P. and Yu, G. (1997). Robust Discrete Optimization and Its Applications. Kluwer Academic Publishers, Dordecht, The Netherlands.
    37. Lindhqvist, T. (2000). Extended Producer Responsibility in Cleaner Production. Sweden: Lund University.
    38. Mahadevan, B., Pyke, David F., Fleischmann, M. ( 2003). Periodic review, push inventory policies for remanufacturing. European Journal of Operational Research, 151(3), 536-551.
    39. Mulvey, J.M., Vanderbei, R.J., and Zenios, S.A. (1995). Robust Optimization of Large-Scale Systems. Operations Research, 43(2), 264-281.
    40. Schrady, D.A. (1967). A deterministic inventory model for repairable items. Naval Research Logistic Quarterly, Vol. 14, 391-398.
    41. Shih, L.H. (2001). Reverse logistics system planning for recycling electrical appliances and computers in Taiwan. Resources Conservation and Recycling, 32(1), 55-72.
    42. Simpson, V.P. (1978). Optimum Solution Structure for a Repairable Inventory Problem. Operations Research, 26(2), 270-281.
    43. Spicer, A.J. and Johnson, M.R. (2004). Third-party demanufacturing as a solution for extended producer responsibility. Journal of Cleaner Production, 12(1), 37-45.
    44. Stevens, G.C. (1989). Integrating the supply chain. International Journal of Physical Distribution and Materials Management, 19(3), 3-8.
    45. Stock, J. R. (1992). Reverse logistics. Council of Logistics Management, Oak Brook, Illinois.
    46. Teunter, R. H. (2001). Economic Ordering Quantities for Remanufacturable Item Inventory Systems. Naval Research Logistics, 48(6), 484-495.
    47. Thierry, M., Salomon, M., Van Nunen, J., and Van Wassenhove, L. (1995). Strategic Issues in Product Recovery Management. California Management Review, 37(2), 114-135.
    48. van der Laan, E., Dekker, R., and Salomon, M. (1999). An investigation of lead-time effects in manufacturing/re manufacturing systems under simple PUSH and PULL control strategies. European Journal of Operational Research, 115(1), 195-214.
    49. van der Laan, E. and Salomon, M. (1997). Production planning and inventory control with remanufacturing and disposal. European Journal of Operational Research, 102(2), 264-278.
    50. Yu, C.S. and Li, H.L. (2000). A robust optimization model for stochastic logistic problems. International Journal of Production Economics, 64(1/3), 385-397.
    Description: 碩士
    國立政治大學
    資訊管理研究所
    98356030
    100
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0983560301
    Data Type: thesis
    Appears in Collections:[資訊管理學系] 學位論文

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