English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113648/144635 (79%)
Visitors : 51632072      Online Users : 568
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
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 >  Item 140.119/139983
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/139983


    Title: 綠色閉迴路供應鏈之多目標穩健最佳化決策模式
    A multi-objective robust optimization model for green closed-loop supply chain network design
    Authors: 方怡文
    Fang, I-Wen
    Contributors: 林我聰
    Lin, Woo-Tsong
    方怡文
    Fang, I-Wen
    Keywords: 閉迴路供應鏈
    多目標混合整數規劃
    穩健最佳化
    Closed-loop supply chain
    Multi-objective mixed integer programming model
    Robust optimization
    Date: 2022
    Issue Date: 2022-05-02 15:00:26 (UTC+8)
    Abstract: 近年環境保護、循環經濟、企業社會責任等議題受到強烈關注,綠色閉迴路供應鏈的相關研究已成為重要課題。企業一方面面對環境議題、法規規範等,另一方面面對競爭激烈經營生態,企業如何有效提升產品或服務的品質,快速回應市場需求,並促成資源循環再利用,將是企業維持競爭力且永續經營的關鍵。
    從相關研究文獻中,可發現閉迴路供應鏈模式中,主要多以經濟與環境指標為目標函數,較少考量其他績效評估指標。為補足上述研究缺口,本研究在閉迴路供應鏈網路架構下,考量不確定性,以多目標混合整數規劃方法,建立同時考量經濟因素、環境因素與品質因素之綠色閉迴路供應鏈多目標資源配置決策模式,以尋求利潤最大化、清潔生產最佳化、供應鏈品質最佳化為目標。針對不確定性因素,本研究以情境為基礎的穩健最佳化方法,在綜合考量不同情境下,求得一穩健最佳解。
    本研究透過真實產業案例評估數量模式之可行性,面對環境之不確定性與多元的決策目標,可透過此模式進行最佳化資源配置評估,作為企業決策訂定之參考依據。本研究所提出綠色閉迴路供應鏈之多目標穩健最佳化決策模式相關研究成果,不僅可作為閉迴路供應鏈相關學術領域研究之參考,在實務上,亦可引導企業建立綠色閉迴路供應鏈資源配置決策模式,以利企業在複雜多變的經營環境,有效訂定較佳決策,協助企業取得較佳獲利能力與競爭優勢。
    In order to keep a company’s competitive capability, effective integrated management of the supply chain are important recently. Due to the topics such as the environmental issues, the governments’ legislation, natural resource limitation and circular economy having got consumers’s awareness, the related researches of the closed-loop supply chain which integrate the forward and reverse supply chain are increasingly growing. Companies not only have to meet the environmental regulations, but also have to sustain high quality of the supply chain operation as a means to stay competitive advantage and profit capability.
    This study proposes a multi-objective mixed integer programming model for an integrated green closed-loop supply chain network designed to maximize profit, amicable production level (environmentally friendly materials and clean technology usage), and quality level. A scenario‐based robust optimization method is used to deal with uncertain parameters such as the demand of new products, the return rates of returned products and the sale prices of remanufactured products.
    The proposed model is applied to a real industry case example of a manufacturing company to illustrate the applicability of the proposed model. The result shows a robust optimal resource allocation solution that considers multiple scenarios. This study can be a reference for closed‐loop supply chain related academic research and also can be used to guide the development of a green closed‐loop supply chain model for better decision making.
    Reference: 參考文獻
    Ageron, B., Gunasekaran, A., and Spalanzani, A., “Sustainable supply management: An empirical study,” International Journal of Production Economics, Vol. 140, No. 1, 2012, pp. 168-182.
    Al Jadaan, O., Rao, C.R., and Rajamani, L., Parametric study to enhance genetic algorithm performance, using ranked based roulette wheel selection method, InSciT, Merida, Spain, 2006, pp.274-278.
    Almaraj, I.I., Trafalis, T.B., “A robust optimization approach in a multi-objective closed-loop supply chain model under imperfect quality production,” Annals of Operations Research, 2021. https://doi.org/10.1007/s10479-021-04286-8.
    Altmann, M. and Bogaschewsky, R., “An environmentally conscious robust closed-loop supply chain design,” Journal of Business Economics, Vol. 84, No. 5, 2014, pp. 613-637.
    Amin, S. H. and Zhang, G., “A three-stage model for closed-loop supply chain configuration under uncertainty,” International Journal of Production Research, Vol. 51, No. 5, 2013a, pp.1405–1425.
    Amin, S. H. and Zhang, G., “A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return,” Applied Mathematical Modelling, Vol.37, No.6, 2013b, pp.4165-4176.
    Ansari, Z.N. and Qureshi, M.N., “Sustainability in supply chain management: An overview,” The IUP Journal of Supply Chain Management, Vol. 12, 2015, pp.24-46.
    Atabaki, M. S., Mohammadi, M., and Naderi, B., “New robust optimization models for closed-loop supply chain of durable products: Towards a circular economy,” Computers & industrial engineering, Vol.146, 2020, pp.106520.
    Bansal, P. and Roth, K., “Why companies go green: a model of ecological responsiveness,” Academy of Management Journal, Vol. 43, No. 4, 2000, pp.717-736.
    Battini, D., Bogataj, M., and Choudhary, A., “Closed loop supply chain (CLSC): Economics, modelling, management and control,” International Journal of Production Economics, Vol. 183, Part B, 2017, pp.319–321.
    Beamon, B.M., “Designing the green supply chain,” Logistics Information Management, Vol. 12, No. 4, 1999, pp. 332-342.
    Bottani, E., Montanari, R., Rinaldi, M., and Vignali, G., “Modeling and multi-objective optimization of closed loop supply chains: A case study,” Computers & Industrial Engineering, Vol. 87, 2015, pp.328-342.
    Cardoso, S. R., Barbosa-Póvoa, A. P. F. D., and Relvas, S., “Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty,” European Journal of Operational Research, Vol. 226, No. 3, 2013, pp.436-451.
    Castillo-Villara, K. K., Smithb, N. R., and Simonton, J. L., “The impact of the cost of quality on serial supply-chain network design,” International Journal of Production Research, Vol. 50, No. 19, 2012, pp.5544-5566.
    Chankong, V. and Haimes, Y. Y., “Optimization-based methods for multiobjective decisionmaking-An overview,” Large Scale Systems In Information And Decision Technologies, Vol.5, No.1, 1983, pp.1–33.
    Chen, Z. and Andresen, S., “A multiobjective optimization model of production-sourcing for sustainable supply chain with consideration of social, environmental, and economic factors,” Mathematical Problems in Engineering, Vol. 2014, 2014, pp.1-11.
    Das, K. and Rao Posinasetti, N., “Addressing environmental concerns in closed loop supply chain design and planning,” International Journal of Production Economics, Vol. 163, 2015, pp.34-47.
    Deb, K., Pratap, A., Agerwal, S., and Meyarivan, T., “A fast and elitist multiobjective genetic algorithm: NSGA-II,” IEEE Transactions on Evolutionary Computation, Vol. 6, 2002, pp.182–197.
    El-Sayed, M., Afia, N., and El-Kharbotly, A., “A stochastic model for forward–reverse logistics network design under risk,” Computers & Industrial Engineering, Vol. 58, No. 3, 2010, pp.423–431.
    Fleischmann, M., Bloemhof-Ruwaard, J. M., Dekker, R., Van Der Laan, E., Van Nunen, J. A. E. E., and Van Wassenhove, L. N. "Quantitative models for reverse logistics: A review," European Journal of Operational Research ,Vol.103,No.1,1997, pp. 1-17.
    Fleischmann, M., Beullens, P., Bloemhof-Ruwaard, J., and Van Wassenhove, L., "The impact of product recovery on logistics network design," Production and Operations Management, Vol. 10, No. 2, 2001, pp.156-173.
    Franca, R. B., Jones, E. C., Richards, C. N., and Carlson, J. P., “Multi-objective stochastic supply chain modeling to evaluate tradeoffs between profit and quality,” International Journal Production Economics, Vol. 127, No. 2, 2010, pp.292-299.
    Garg, K., Kannan, D., Diabat, A., and Jha, P. C., “A multi-criteria optimization approach to manage environmental issues in closed loop supply chain network design,” Journal of Cleaner Production, Vol. 100, 2015, pp.297-314.
    Govindan, K., Soleimani, H., and Kannan, D., “Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future,” European Journal of Operational Research, Vol. 240, No. 3, 2015, pp.603–626.
    Guide, V. D. R., Jr. and Van Wassenhove , L. N., “The evolution of closed-loop supply chain research, Operations Research, Vol. 57, No. 1, 2009, pp.10-18.
    Guide, V. D. R., Jayaraman, V., and Linton, J. D., “Building contingency planning for closed-loop supply chains with product recovery,” Journal of Operations Management,Vol. 21, No. 3, 2003, pp.259-279.
    Guiffrida, A.L., Datta, P., El Saadany, A., Jaber, M., and Bonney, M.,. “Environmental performance measures for supply chains,” Management Research Review, Vol. 34, No. 11, 2011, pp.1202-1221.
    Haimes, Y. Y., Lasdon, L. S., and Wismer, D. A., “On a bicriterion formulation of the problems of integrated system identification and system optimization,” IEEE Transactions on Systems Man and Cybernetics, Vol.1, 1971, pp.296-297.
    Hatefi and Jolai, “Robust and reliable forward–reverse logistics network design under demand uncertainty and facility disruptions,” Applied Mathematical modelling, Vol.38, No.9-10, 2014, pp.2630-2647.
    Hervani, A.A., Helms, M.M., and Sarkis, J., “Performance measurement for green supply chain management,” Benchmarking: An International Journal, Vol.12, No. 4 , 2005, pp.330-353.
    Huang, L., Murong, L., and Wang, W., “Green closed-loop supply chain network design considering cost control and CO2 emission,” Modern Supply Chain Research and Applications, ahead-of-print, 2020.
    Huang, Y.-C., Huang, C.-H., and Yang, M.-L., “Drivers of green supply chain initiatives and performance: Evidence from the electrical and electronics industries in Taiwan,” International Journal of Physical Distribution & Logistics Management, Vol. 47, No. 9, 2017, pp.796-819.
    Hwang, C.L. and Masud, A.S.M., Multiple-objective decision making, methods and applications: A state-of-the-art survey, Springer-Verlag, Berlin, 1979.
    Jayaraman, V., Patterson, R.A., and Rolland, E., “The design of reverse distribution networks: Models and solution procedures,” European Journal of Operational Research, Vol. 150, No.1, 2003, pp.128-149.
    Jose Alem, D., and Morabito, R., “Production planning in furniture settings via robust optimization,” Computers & Operations Research, Vol.39, 2012, pp.139-150.
    Kannan, G., Sasikumar, P., and Devika, K., “A genetic algorithm approach for solving a closed loop supply chain model: A case of battery recycling,” Applied Mathematical Modelling, Vol. 34, No. 3, 2010, pp.655-670.
    Karimi, B., Niknamfar, A.H., Gavyar, B.H., Barzegar, M., and Mohtashami, A., “Multi-objective multi-facility green manufacturing closed-loop supply chain under uncertain environment,” Assembly Automation, Vol. 39, No. 1, 2019, pp.58-76.
    Kazemia, N., Modak, N. M., and Govindan, K., “A review of reverse logistics and closed loop supply chain management studies published in IJPR: A bibliometric and content analysis,” International Journal of Production Research, Vol. 57, No. 15-16, 2019, pp.4937-4960.
    Khalilzadeh, M. and Derikvand, H., “A multi-objective supplier selection model for green supply chain network under uncertainty,” Journal of Modelling in Management, Vol. 13 No. 3, 2018, pp. 605-625.
    Kim, K., Jeong, B., and Jung, H., “Supply chain surplus: Comparing conventional and sustainable supply chains,” Flexible Services and Manufacturing Journal, Vol. 26, 2014, pp.5-23.
    Ko, H.J. and Evans, G.W., “A genetic algorithm-based heuristic for the dynamic integrated forward reverse logistics network for 3PLs,” Computers & Operations Research, Vol.34, No.2, 2007, pp.346-366.
    Krumwiede, D.W. and Sheu C., “A model for reverse logistics entry by third-party providers,” Omega, Vol.30, No. 5, 2002, pp. 325-333.
    Lee, D. H. and Dong, M., “A heuristic approach to logistics network design for end-of-lease computer products recovery,” Transportation Research Part E, Vol. 44, No. 3, 2008, pp. 455-474.
    Lee, D.-H., Dong, M., and Bian, W., “The design of sustainable logistics network under uncertainty,” International Journal of Production Economics, Vol. 128, No. 1, 2010, pp.159-166.
    Linton, J.D., Klassen, R., and Jayamaran, V., “Sustainable supply chains: an introduction,” Journal of Operations Management, Vol. 25, No. 6, 2007, pp.1075-1082.
    Liu, M., Liu, R., Zhu, Z., Chu, C., and Man, X., “A bi-objective green closed loop supply chain design problem with uncertain demand,” Sustainability, Vol. 10, No. 4, 2018, pp.967-988.
    Louwers, D., Kip, B. J., Peters, E., Souren, F., and Flapper, S. D. P. "A facility location allocation model for reusing carpet materials," Computers & Industrial Engineering ,Vol. 36, No.4, 1999, pp. 855-869.
    Lu, Z. and Bostel, N., “A facility location model for logistics systems including reverse flows: The case of remanufacturing activities,” Computers & Operations Research, Vol.34, No. 2, 2007, pp. 299-323.
    Ma, R., Yao, L., Jin, M., Ren, P., and Lv, Z., “Robust environmental closed-loop supply chain design under uncertainty,” Chaos, Solitons & Fractals, Vol. 89, 2016, pp.195-202.
    Mahdi Saffar, M., Shakouri G., H., and Razmi, J., “A new multi objective optimization model for designing a green supply chain network under uncertainty,” International Journal of Industrial Engineering Computations, Vol. 6, No. 1, 2015, pp.15-32.
    Mazloumian, M., Fazle Baki, M., and Ahmadi, M., “A robust multiobjective integrated master surgery schedule and surgical case assignment model at a publicly funded hospital,” Computers & Industrial Engineering, Vol.163, 2022, p.107826.
    Meade, L. and Sarkis, J., “A conceptual model for selecting and evaluating third-party reverse logistics providers,” Supply Chain Management: An International Journal, Vol. 7, No. 5, 2002, pp. 283- 295.
    Meixell, M. J. and Gargeya, V. B., “Global supply chain design: A literature review and critique,” Transportation Research Part E, Vol. 41, No. 6, 2005, pp. 531-550.
    Mirzapour Al-e-hashem, S.M.J., Malekly, H., and Aryanezhad, M.B., “A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty,” International Journal of Production Economics, Vol.134, No. 1, 2011, pp.28-42.
    Mohammed, F., Selim, S. Z., Hassan, A., and Syed, M. N., “Multi-period planning of closed-loop supply chain with carbon policies under uncertainty,” Transportation Research Part D, Vol. 51, 2017, pp.146-172.
    Mota, B., Gomes, M. I., Carvalho, A., and Barbosa-Povoa, A. P., “Towards supply chain sustainability: economic, environmental and social design and planning” Journal of Cleaner Production, Vol. 105, 2015, pp.14-27.
    Mulvey, J. M., Vanderbei, R. J., and Zenios, S. A., "Robust optimization of large-scale systems," Operations research, Vol. 43, No. 2 ,1995, pp. 264-281.
    Oršič, J., Rosi, B., and Jereb, B., “Measuring sustainable performance among logistic service providers in supply chains,” Tehnički Vjesnik – Technical Gazette, Vol. 26, No. 5, 2019, pp.1478-1485.
    Özkır, V., and Baslıgil, H., “Multi-objective optimization of closed-loop supply chains in uncertain environment,” Journal of Cleaner Production, Vol. 41, 2013, pp.114-125.
    Paksoy, T., Özceylana, E., and Weber, G.-W., “A multi objective model for optimization of a green supply chain network,” Global Journal of Technology and Optimization, Vol. 2, 2011, pp.84-96.
    Pasandideh, S.H.R., Niaki, S.T.A., and Asadi, K., “Bi-objective optimization of a multi-product multi-period three-echelon supply chain problem under uncertain environments: NSGA-II and NRGA,” Information Sciences, Vol. 292, 2015, pp.57-74.
    Peng H., Shen, N., Liao, H. L., Xue, H. Q., and Wang, Q. W., “Uncertainty factors, methods, and solutions of closed-loop supply chain - A review for current situation and future prospects,” Journal of Cleaner Production, Vol. 254, 2020, pp.1-20.
    Pishvaee, M. S., Farahani, R. Z., and Dullaert, W., “A memetic algorithm for bi-objective integrated forward/reverse logistics network design,” Computers & Operations Research, Vol. 37, No. 6, 2010, pp.1100-1112.
    Pishvaee, M. S., Jolai, F., and Razmi, J., “A stochastic optimization model for integrated forward/reverse logistics network design,” Journal of Manufacturing Systems, Vol.28, No. 4, 2009, pp.107-114.
    Pishvaee, M. S., Rabbani, M., and Torabi, S. A., “A robust optimization approach to closed-loop supply chain network design under uncertainty,” Applied Mathematical Modelling, Vol. 35, No. 2, 2011, pp.637-649.
    Pishvaee, M. S. and Razmi, J., “Environmental supply chain network design using multi-objective fuzzy mathematical programming,” Applied Mathematical Modelling, Vol. 36, No.8, 2012, pp. 3433–3446.
    Pourjavad, E. and Mayorga, R.V., “Optimization of a sustainable closed loop supply chain network design under uncertainty using multi-objective evolutionary algorithms,” Advances in Production Engineering & Management, Vol. 13, No. 2, 2018, pp.216-228.
    Quariguasi Frota Neto, J., Walther, G., Bloemhof, J., van Nunen, J. A. E. E., and Spengler, T., “From closed-loop to sustainable supply chains: The WEEE case,” International Journal of Production Research, Vol. 48, No. 15, 2010, pp.4463-4481.
    Ramezani, M., Bashiri, M., and Tavakkoli-Moghaddam, R., “A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level,” Applied Mathematical Modelling, Vol. 37, No. 1-2, 2013, pp.328-344.
    Ramezani, M., Farhang Moghaddam, B., Pishvaee, M. S., Bozorgi-Amiri, A., and Gholamnejad, S., “A robust fuzzy optimization model for carbon-efficient closed-loop supply chain network design problem: a numerical illustration in electronics industry,” Journal of Cleaner Production, Vol. 113, 2016, pp.662-673.
    Safaei, A. S., Roozbeh, A., and Paydar, M. M., “A robust optimization model for the design of a cardboard closed-loop supply chain,” Journal of Cleaner Production, Vol.166, 2017, pp. 1154-1168.
    Salema, M. I. G., Póvoa, A. P. B., and Novais, A. Q., “A strategic and tactical model for closed-loop supply chains,” OR Spectrum, Vol. 31, No. 3, 2009, pp.573-599.
    Salema, M. I. G., Póvoa, A. P. B., and Novais, A. Q., “A warehouse-based design model for reverse logistics”, Journal of the Operational Research Society, Vol. 57, No. 6, 2006, pp.615-629.
    Sánchez-Flores, R.B., Cruz-Sotelo, S.E., Ojeda-Benitez, S., and Ramírez-Barreto, M.E., “Sustainable supply chain management- A literature review on emerging economies,” Sustainability, Vol.12, No. 17, 2020, pp.6972.
    Sarkis, J., “A strategic decision framework for green supply chain management,” Journal of Cleaner Production, Vol. 11, No. 4, 2003, pp. 397-409.
    Sarkis, J., Zhu, Q., and Lai, K.-h., “An organizational theoretic review of green supply chain management literature,” International Journal of Production Economics, Vol.130, No. 1, 2011, pp.1-15.
    Seuring, S. and Müller, M., “From a literature review to a conceptual framework for sustainable supply chain management,” Journal of Cleaner Production, Vol. 16, 2008, pp.1699-1710.
    Shi, J., Zhang, G., and Sha, J., “Optimal production planning for a multi-product closed loop system with uncertain demand and return,” Computers & Operations Research, Vol. 38, No. 3, 2011, pp.641-650.
    Sheu, J. B., Chou, Y. H., and Hu, C., “An integrated logistic operational model for green supply chain management,” Transportation Research Part E, Vol. 41, No. 4, 2005, pp. 287-313.
    Shih, L.H., “Reverse logistics system planning for recycling electrical appliances and computers in Taiwan,” Resources, Conservation and Recycling, Vol.32, No.1, 2001, pp.55-72.
    Srivastava, S.K., “Green supply‐chain management: A state‐of‐the‐art literature review,” International Journal of Management Reviews, Vol.9, No.1, 2007, pp.53-80.
    Trisna, T., Marimin, M., Arkeman, Y., and Sunarti, T. C., “Multi-objective optimization for supply chain management problem: A literature review,” Decision Science Letters, Vol.5, 2016, pp.283-316.
    Tseng, M.-L., Islam, M. S., Karia, N., Fauzi, F. A., and Afrin, S., “A literature review on green supply chain management: Trends and future challenges,” Resources, Conservation & Recycling, Vol.141, 2019, pp.145-162.
    Uster, H., Easwaran, G., Akcali, E., and Cetinkaya, S., “Benders decomposition with alternative multiple cuts for a multi-product closed-loop supply chain network design model,” Naval Research Logistics, Vol. 54, No. 8, 2007, pp.890-907.
    Yang, G., Wang, Z., and Li, X., “The optimization of the closed-loop supply chain network,” Transportation Research Part E, Vol. 45, No. 1, 2009, pp. 16-28.
    Yavari, M. and Geraeli, M., “Heuristic method for robust optimization model for green closed-loop supply chain network design of perishable goods,” Journal of Cleaner Production, Vol.226, 2019, pp.282-305.
    Yeh, W.-C. and Chuang, M.-C., “Using multi-objective genetic algorithm for partner selection in green supply chain problems,” Expert Systems With Applications, Vol.38, No. 4, 2011, pp.4244-4253.
    Yu, C. and Li, H., “A robust optimization model for stochastic logistic problems,” International Journal of Production Economics, Vol. 64, 2000, pp.385-397.
    Zhalechian, M., Tavakkoli-Moghaddam, R., Zahiri, B., and Mohammadi, M., “Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty,” Transportation Research Part E, Vol.89, 2016, pp.182-214.
    Zhao, R., Liu, Y., Zhang, N., and Huang, T., “An optimization model for green supply chain management by using a big data analytic approach,” Journal of Cleaner Production, Vol. 142, 2017, pp.1085-1097.
    Description: 博士
    國立政治大學
    資訊管理學系
    102356508
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0102356508
    Data Type: thesis
    DOI: 10.6814/NCCU202200404
    Appears in Collections:[資訊管理學系] 學位論文

    Files in This Item:

    File Description SizeFormat
    650801.pdf4833KbAdobe PDF20View/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