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    政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 >  Item 140.119/112357


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    题名: 考量回收價格與回收品質及回收數量之關係的逆物流最佳化分配模式
    An Optimal Reverse Logistics Distribution Model Considering the Relationship among Acquisition Price, Quality and Quantity of Return Products
    作者: 邱顯庭
    贡献者: 林我聰
    邱顯庭
    关键词: 逆物流
    不確定性
    非線性回歸
    非線性規劃
    日期: 2017
    上传时间: 2017-08-31 12:02:54 (UTC+8)
    摘要: 近年來環保議題逐漸重視，政府也推出許多關於環境保護之法規，而且有研究指出企業建立逆物流有助於提升消費者心中的認同度和未來的銷售機會，讓企業開始重視逆物流。在科技快速發展下，許多消費性電子產品品質更好、功能更完善、耐久度增加但是汰換率卻也提高，讓回收品品質增加，但是回收定價太過低廉，讓消費者不願意將高品質之回收品進行回收，所以本研究想探討回收價格與各品質回收數量之關係。
    過去研究針對回收價格、回收品質與回收數量大多是分開討論，或是將品質與數量不確定性以常數的方式進行分析，所以本研究想探討三者之關係，並將三者以決策變數之形式加入最佳化模型。本研究利用問卷的方式收集消費者對於回收品在各品質下願意賣出之價格，非線性回歸針對問卷所蒐集回來的資料進行分析，找出回收價格與各品質回收數量之關係，並將非線性回歸之分析結果加入逆物流最佳化模型之中，並利用非線性規劃進行求解，找出在此逆物流模型中最大之利潤及資源的最佳分配。
    參考文獻: 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（碩士論文）。國立政治大學資訊管理學系研究所碩士論文，台北市。
    2. 鄭荏任（2011）。零售商資訊分享下第三方逆物流業者回收處理中心選址模式研究（碩士論文）。國立政治大學資訊管理學系研究所碩士論文，台北市。
    3. 陳蔚華（2012）。品牌廠商回收及處理分配決策模式（碩士論文）。國立政治大學資訊管理學系研究所碩士論文，台北市。
    4. 魏夢麗, & 呂秀英. （1999）. 決定係數 (R2) 在回歸分析中的解釋及正確使用. 科學農業, 47, 11-12.
    5. Amin, S. H., & Zhang, G. （2012）. An integrated model for closed-loop supply chain configuration and supplier selection: Multi-objective approach. Expert Systems with Applications, 39（8）, 6782-6791.
    6. Ayvaz, B., Bolat, B., & Aydın, N. （2015）. Stochastic reverse logistics network design for waste of electrical and electronic equipment. Resources, conservation and recycling, 104, 391-404.
    7. Beamon, B. M. （1998）. Supply chain design and analysis:: Models and methods. International journal of production economics, 55（3）, 281-294.
    8. Bennekrouf, M., Boudahri, F., & Sari, Z. （2011, May）. Optimal design of two levels reverse logistic supply chain by considering the uncertain quantity of collected multi-products. In Logistics （LOGISTIQUA）, 2011 4th International Conference on （pp. 397-404）. IEEE.
    9. Berkson, J. （1944）. Application of the logistic function to bio-assay. Journal of the American Statistical Association, 39（227）, 357-365.
    10. Bunke, O., Droge, B., & Polzehl, J. (1999). Model selection, transformations and variance estimation in nonlinear regression. Statistics: A Journal of Theoretical and Applied Statistics, 33(3), 197-240.
    11. Dat, L. Q., Linh, D. T. T., Chou, S. Y., & Vincent, F. Y. （2012）. Optimizing reverse logistic costs for recycling end-of-life electrical and electronic products. Expert Systems with Applications, 39（7）, 6380-6387.
    12. Ene, S., & Öztürk, N. （2014）. Open loop reverse supply chain network design. Procedia-Social and Behavioral Sciences, 109, 1110-1115.
    13. Govindan, K., Soleimani, H., & Kannan, D. （2015）. Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future. European Journal of Operational Research, 240（3）, 603-626.
    14. Guide Jr, V. D. R., Jayaraman, V., Srivastava, R., & Benton, W. C. （2000）. Supply-chain management for recoverable manufacturing systems. Interfaces, 30（3）, 125-142.
    15. Kara, S. S., & Onut, S. （2010）. A stochastic optimization approach for paper recycling reverse logistics network design under uncertainty. International Journal of Environmental Science & Technology, 7（4）, 717-730.
    16. Ko, H. J., & Evans, G. W. （2007）. A genetic algorithm-based heuristic for the dynamic integrated forward/reverse logistics network for 3PLs. Computers & Operations Research, 34（2）, 346-366.
    17. Lee, D. H., & Dong, M. （2009）. Dynamic network design for reverse logistics operations under uncertainty. Transportation Research Part E: Logistics and Transportation Review, 45（1）, 61-71.
    18. Lindhqvist, T. （2000）. Extended producer responsibility in cleaner production: Policy principle to promote environmental improvements of product systems （Vol. 2000, No. 2）. IIIEE, Lund University.
    19. Maiti, T., & Giri, B. C. （2015）. A closed loop supply chain under retail price and product quality dependent demand. Journal of Manufacturing Systems, 37, 624-637.
    20. Özkır, V., & Başlıgil, H. （2013）. Multi-objective optimization of closed-loop supply chains in uncertain environment. Journal of Cleaner Production, 41, 114-125.
    21. Pishvaee, M. S., & Torabi, S. A. （2010）. A possibilistic programming approach for closed-loop supply chain network design under uncertainty. Fuzzy sets and systems, 161（20）, 2668-2683.
    22. Roghanian, E., & Pazhoheshfar, P. （2014）. An optimization model for reverse logistics network under stochastic environment by using genetic algorithm. Journal of Manufacturing Systems, 33（3）, 348-356.
    23. Schwab, D. P. (1980). Construct validity in organizational behavior. Research in organizational behavior, 2(1), 3-43.
    24. Shih, L. H. （2001）. Reverse logistics system planning for recycling electrical appliances and computers in Taiwan. Resources, conservation and recycling, 32（1）, 55-72.
    25. United Nations University, 2014, “The Global E-Waste Monitor 2014 – Quantities, flows and resources”
    26. Zeballos, L. J., Gomes, M. I., Barbosa-Povoa, A. P., & Novais, A. Q. （2012）. Addressing the uncertain quality and quantity of returns in closed-loop supply chains. Computers & Chemical Engineering, 47, 237-247.
    網路文獻
    1. 手機網, 2015/06/22, [線上論壇] https://www.sogi.com.tw/articles/apple_iphone_6_plus/6241735
    2. 神腦國際, 維修服務, 舊機回收, 2017/05/22, [線上論壇]https://www.senao.com.tw/SecondHand_Evaluate.php
    3. Apple ,環境, [Online forum comment], https://www.apple.com/tw/environment/answers/
    4. Jim Frost, 2013/08/22, Online forum comment] , http://blog.minitab.com/blog/adventures-in-statistics-2/curve-fitting-with-linear-and-nonlinear-regression
    5. Nonlinear Programming, from: http://web.mit.edu/15.053/www/AMP-Chapter-13.pdf
    6. Stattrek, Transformations to achieve linear, [Online forum comment],http://stattrek.com/regression/linear-transformation.aspx?Tutorial=AP
    描述: 碩士
    國立政治大學
    資訊管理學系
    104356035
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0104356035
    数据类型: thesis
    显示于类别:[資訊管理學系] 學位論文

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