跳到主要內容

臺灣博碩士論文加值系統

(216.73.216.110) 您好!臺灣時間:2025/09/25 07:52
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:蘇明鴻
研究生(外文):Ming-Hung Su
論文名稱:應用Fuzzy DEA建立考慮碳足跡之供應商評選模式
論文名稱(外文):A Fuzzy DEA Approach for Supplier Selection Model Considering Carbon Footprinting
指導教授:余銘忠余銘忠引用關係
指導教授(外文):Min-Chun Yu
口試委員:廖光彬葉惠忠余銘忠
口試日期:2013-05-31
學位類別:碩士
校院名稱:國立高雄應用科技大學
系所名稱:企業管理系
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2013
畢業學年度:101
語文別:中文
論文頁數:118
中文關鍵詞:碳足跡綠色供應鏈供應商評選模糊資料包絡分析
外文關鍵詞:Carbon footprintgreen supply chainsupplier selectionfuzzy data envelopment analysis
相關次數:
  • 被引用被引用:0
  • 點閱點閱:950
  • 評分評分:
  • 下載下載:59
  • 收藏至我的研究室書目清單書目收藏:0
  由於氣候暖化問題持續惡化,碳足跡減量排放已成為因應環境衝擊與減緩氣候變遷的努力目標,傳統供應商評選專注於成本、品質與價格等因素,而融合環境觀念的綠色供應鏈即更考慮環境汙染、環境保護之表現。隨著全球環保意識抬頭,供應鏈如無法順應環境保護趨勢終將面臨淘汰,企業除了本身應做好因應綠色供應鏈的技術整合與配套措施以外,對於供應商亦應考量其碳足跡減排績效,以符合企業目標與確保減緩氣候變遷。
  本研究應用DEA技術建立一供應商評選模式,以生產成本、前置時間及供應鏈碳足跡為投入項,品質和需求量為產出項的評估準則,並以一個買賣方供應鏈的非合作及合作模式來分別計算其效率值。另由於碳足跡本身具有不確定之特性,因此應用三角模糊數來衡量供應鏈碳足跡,藉以建構出模糊資料包絡分析模式並透過模糊排序法評選出最適供應商,最後應用敏感度分析來瞭解碳足跡對效率影響之變化趨勢。
  研究發現具有較低碳足跡之供應商,在效率表現上略為遜色,可能原因為當追求較低碳足跡之產品生產時,須要投入較多心思於生產製程改善或原料選擇較為嚴格;供應商在不同供應鏈營運模式呈現不盡相同之效率,供應商必須在面對降低碳足跡和維持成本競爭力之間取捨,而買方選擇供應商時應考量其他與環境相關之準則以評選較具綠色概念之供應商。

  Due to global warming, the reduction of carbon footprint has become a key issue for supply chains all over the world. In contrast to traditional supplier selection that is based on cost, quality, and price, now businesses focus more on the impact to the global environment. Supply chains unable to comply with the environment sustainability will eventually be outperformed by sustainable ones. Therefore, suppliers’ environmental capability such as ability of carbon footprint reduction should be taken into consideration when evaluated.
  This study utilizes data envelopment analysis (DEA) to develop a supplier selection model. Production costs, lead time and carbon footprint emissions are treated as input while quality and demand are considered as output. In addition, cooperation and non-cooperation scenarios are modeled respectively to study their different impact on the supply chain efficiency. Due to carbon footprint’s inherently uncertain nature, fuzzy set theory is utilized to model its vagueness.. Finally sensitivity analysis is conducted to investigate the impact of carbon footprint on efficiency.
  Our results found that suppliers, with a lower carbon footprint, incurred lower efficiency. Suppliers performed differently under various cooperation scenarios. The findings indicate that suppliers should consider the trade-offs between maintaining competitiveness and reducing carbon footprint. In addition, when evaluating suppliers, buyers should consider environment-related criteria to favor the green-oriented supplie.

中文摘要 i
英文摘要 ii
誌 謝 iii
目錄 iv
圖目錄 v
表目錄 vi
第壹章 緒論1
第一節 研究背景1
第二節 研究動機5
第三節 研究目的7
第四節 研究步驟與流程8
第貳章 文獻探討11
第一節 碳足跡11
第二節 綠色供應鏈與供應商評選21
第三節 資料包絡分析法29
第參章 研究方法33
第一節 確定投入產出項33
第二節 建立綠色供應商評選模式35
第三節 模糊排序選擇供應商 58
第肆章 實證研究分析與討論 59
第一節 個案公司簡介59
第二節 個案模型之建立與求解63
第三節 個案實證結果與分析 69
第伍章 結論與建議75
第一節 結論75
第二節 研究貢獻78
第三節 未來研究方向與建議 80
參考文獻 81
附錄一、 不同α值水準之下碳足跡之上下界94
附錄二、 不同α水準下A系列產品模糊效率值98
附錄三、 不同α水準下B系列產品模糊效率值105
附錄四、 不同α水準下C系列產品模糊效率值112


一、英文部分
Amid, A., Ghodsypour, S.H., & O’Brien, C. (2006). Fuzzy multi-objective linear model for supplier selection in a supply chain. International Journal of Production Economics, 104(2), 394-407.
Amindoust, A., Ahmed, S., Saghafinia, A., & Bahreininejad, A. (2012). Sustainable supplier selection: A ranking model based on fuzzy inference system. Applied Soft Computing, 12(6), 1668-1677.
Bai C., & Sarkis, J. (2010). Green supplier development: analytical evaluation using rough set theory. Journal of Cleaner Production, 18(12), 1200-1210.
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiency in data envelopment analysis. Management Science, 30(9), 1078-1092.
Barla, S.B. (2003). A case study of supplier selection for lean supply by using a mathematical model. Logistics Information Management, 16(6), 451-459.
Bayazit, O. (2006). Use of analytic network process in vendor selection decisions. Benchmarking: An International Journal, 13(5), 566-579.
Braglia, M., & Petroni, A. (2000). A quality assurance-oriented methodology for handling trade-offs in supplier selection. International Journal of Physical Distribution and Logistics Management, 30(2), 96-111.
BSI (2011), PAS 2050:2011 Specification for the assessment of the life cycle greenhouse gas emissions of goods and services.
Carbon trust (2012), Carbon footprinting.
Chan, F.T.S., & Chan, H.K.(2004). Development of the supplier selection model -A case study in the advanced technology industry. Proceedings of the Institution of Mechanical Engineers Part B -Journal of Engineering Manufacture, 218 (12), 1807-1824.
Chan, F.T.S., & Kumar, N. (2007). Global supplier development considering risk factors using fuzzy extended AHP-based approach. International Journal of Management Science, 35(4), 417-431.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444.
Chen, C. B., & Klein, C. M. (1997). A simple approach to ranking a group of aggregated fuzzy utilities. IEEE Transactions on Systems, Man, Cybernetics, Part B, 27(1), 26-35.
Chen, C.T., Lin, C.T., & Huang, S.F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics, 102(2), 289-301.
Chen, T. Y. (1997). A measurement of the resource utilization efficiency of university libraries. International Journal of Production Economics, 53, 71-80.
Chou, S.Y., & Chang, Y.H. (2008). A decision support system for supplier selection based on a strategy-aligned fuzzy SMART approach. Expert Systems with Applications, 34(4), 2241-2253.
Cox, A. (1999). Power, value and supply chain management. Supply Chain Management: An International Journal, 4(4), 167 -175.
Craighill, A.L., & Powell, J.C. (1996). Life cycle assessment and economic evaluation of recycling: A case study. Resources, Conservation and Recycling, 17(2), 75-96.
Darnall, N., Jolley, G.J., & Handfield, R. (2008). Environmental Management Systems and Green Supply Chain Management: Complements for Sustainability?. Business Strategy and the Environment, 17(1), 30-45.
Garfamy, R.M. (2006). A data envelopment analysis approach based on total cost of ownership for supplier selection. Journal of Enterprise Information Management, 19(6), 662-678.
Gencer, C., & Gurpinar, D. (2007). Analytic network process in supplier selection: A case study in an electronic firm. Applied Mathematical Modeling, 31(11), 2475-2486.
Gharakhani, M., Kazemi, I., & Haji, H. A. (2011). A robust DEA model for measuring the relative efficiency of Iranian high schools. Management Science Letters, 1, 389-404.
Golany, B., & Roll, Y. (1989). An application procedure for DEA. Omega, 7(3), 237-250.
Green Jr, K.W., Zelbst, P.J., Meacham, J., & Bhadauria, V.S. (2012). Green supply chain management practices: impact on performance. Supply Chain Management: An International Journal, 17(3), 290-305.
Grosskopf, S., & Valdmanis, Y. (1987). Measuring hospital performance: A nonparametric approach. Journal of Health Economics, 6, 89-107.
Guo, P. (2009). Fuzzy data envelopment analysis and its application to location problems. Information Sciences, 179(6), 820-829.
Hatami-Marbini, A., Emrouznejad. A., & Tavana, M. (2011). A taxonomy and review of the fuzzy data envelopment analysis literature: Two decades in the making. European Journal of Operational Research, 214(3), 457-472.
Hou, J., & Su, D. (2007). EJB–MVC oriented supplier selection system for mass customization. Journal of Manufacturing Technology Management, 18(1), 54-71.
Huang, Y.A., Weber, C.L., & Matthews, H.S.(2009). Categorization of Scope 3 Emissions for Streamlined Enterprise Carbon Footprinting. ENVIRONMENTAL SCIENCE & TECHNOLOGY,43, 8509-8515.
Humphreys, P., McIvor, R., & Chan, F. (2003). Using case-based reasoning to evaluate supplier environmental management performance. Expert Systems with Applications, 25(2), 141-153.
IPCC (2007), Fourth Assessment Report: Climate Change 2007.
ISO 14067-1 Carbon footprint of products-part1:Quantification.
ISO 14067-2 Carbon footprint of products-part2:Communication.
Kannan, V.R., & Tan, K.C. (2002). Supplier Selection and Assessment: Their Impact on Business Performance. Journal of Supply Chain Management, 38(4), 11-21.
Kao, C. (2000). Short-run and long-run efficiency measures for multiplant firms. Annals of Operations Research, 97, 379-388.
Kao, C., & Liu, S. T. (2000). Fuzzy efficiency measures in data envelopment analysis. Fuzzy Sets and Systems, 113(3), 427-437.
Kao, C., & Liu, S.T. (2000). Data envelopment analysis with missing data: an application to University libraries in Taiwan. Journal of the Operational Research Society, 51(8), 897-905.
Kao, C., & Yang, Y.C. (1992). Reorganization of forest districts via efficiency measurement. European Journal of Operational Research, 58, 356-362.
Kenny, T., & Gray, N.F. (2009). Comparative performance of six carbon footprint models for use in Ireland. Environmental Impact Assessment Review, 29(1), 1-6.
Khoo, H.H., Spedding, T.A., Bainbidge, I., & Taplin, D.M.R. (2001). Creating A Green Supply Chain. Greener Management International, 2001(35), 71-88.
Kumar, A., & Jain, V. (2010). Supplier selection: A green approach with carbon footprint monitoring. Supply Chain Management and Information Systems (SCMIS), 2010 8th International Conference, 1-8.
Kuo, R.J., Wang, Y.C., & Tien, F.C. (2010). Integration of artificial neural network and MADA methods for green supplier selection. Journal of Cleaner Production,18(12), 1161-1170.
Lee, Amy H.I. , Kang, H.Y. , Hsu, C.F., & Hung, H.C. (2009). A green supplier selection model for high-tech industry. Expert Systems with Applications,36(4), 7917-7927.
Lewin, A.Y., & Minton, J.W. (1986). Determining organizational effectiveness: another look, and an agenda for research. Management Science, 32(5), 514-538.
Liang, L., Yang, F., Cook, W. D., & Zhu, J. (2006). DEA models for supply chain efficiency evaluation. Annals of Operations Research, 145(1), 35-49.
Liu, J., Ding, F.Y., & Lall, V. (2000). Using data envelopment analysis to compare suppliers for supplier selection and performance improvement. Supply Chain Management: An International Journal, 5(3), 143-150.
Liu, S.T., & Chuang, M. (2009). Fuzzy efficiency measures in fuzzy DEA/AR with application to university libraries. Expert Systems with Applications, 36(2) part 1, 1105-1113.
Lo, F.Y., Chien, C.F., & Lin, J.T. (2001). A DEA Study to evaluate the relative efficiency and investigate the district reorganization of the Taiwan power company. IEEE Transactions on Power Systems, 16(1), 170-178.
Ma, X.G., & Liu, T.J. (2011). Supplier Selection Analysis under the Green Supply Chain. International Conference on Automation and Logistics Chongqing, IEEE, 205-209.
Mirhedayatian, S.M., Vahdat, S.E., Jelodar, M.J., & Saen R.F. (2013). Welding process selection for repairing nodular cast iron engine block by integrated fuzzy data envelopment analysis and TOPSIS approaches. Materials and Design, 43, 272-282.
Muralidharan, C., Anantharaman, N., & Deshmukh, S.G. (2002). A multi-criteria group decision-making model for supplier rating. Journal of Supply Chain Management, 38 (4), 22-33.
Noci, G. (1997). Designing ‘green’ vendor rating systems for the assessment of a supplier's environmental performance. European Journal of Purchasing & Supply Management, 3(2), 103-114.
Pankaj, B., Cynthia, C., Andrea, B., Laura, D., David, R., & Holly, L. (2011). Product Life Cycle Accounting and Reporting Standard. World Resources Institute and World Business Council for Sustainable Development.
Ross, A., Buffa, F.P., Droge, C., & Carrington, D. (2006). Supplier evaluation in a dyadic relationship: An action research approach. Journal of Business Logistics, 27(2), 75-102.
Rugrungruang, F., Chua, B. H., & Low, S. C. (2009). Development of product carbon footprint assessment: a step towards sustainability for Singapore manufacturing industry. SIMTech technical reports, 10(2), 112-117.
Saen, R.F. (2006). A decision model for selecting technology suppliers in the presence of nondiscretionary factors. Applied Mathematics and Computation, 181(2), 1609-1615.
Saen, R.F. (2007). Suppliers selection in the presence of both cardinal and ordinal data. European Journal of Operational Research, 183(2), 741-747.
Sarkar, A., & Mohapatra, P.K.J. (2006). Evaluation of supplier capability and performance: A method for supply base reduction. Journal of Purchasing and Supply Management, 12(3), 148-163.
Sarkis, J. (2003). A Strategic Decision Framework for Green Supply Chain Management, Journal of Cleaner Production, 11 (4), 397-409.
Sarkis, J., & Talluri, S. (2002). A model for strategic supplier selection. Journal of Supply Chain Management, 38(1), 18-28.
Schaffnit, C., Rosen, D., & Paradi, J. C. (1997). Best practice analysis of bank branches: An application of DEA in a large Canadian bank. European Journal of Operational Research , 98, 269-289.
Seydel, J. (2006). Data envelopment analysis for decision support. Industrial Management and Data Systems, 106(1), 81-95.
Shaw, K. , Shankar, R., Yadav, S.S., & Thakur, L.S. (2012). Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain. Expert Systems with Applications, 39(9), 8182-8192.
Sheu, J., Chou, Y. & Hu, C. (2005). An Integrated Logistics Operational Model for Green-supply Chain Management. Transportation Research Part E, 41(4), 287-313.
Srivastava, S.K. (2007).Green supply-chain management: A state - of - the - art literature review. International Journal of Management Reviews, 9(1), 53-80.
Wackernagel, M., & Rees, W.E. (1996). Our Ecological Footprint - Reducing Human Impact on the Earth. New Society Publishers Gabriola Island, B.C., Canada.
Weber, C., Current, J., & Benton, W. (1991). Vendor selection criteria and methods. European Journal of Operational Research, 50(1), 2-18.
Wen, U.P., & Chi, J.M. (2010). Developing Green Supplier Selection Procedure: A DEA Approach. Industrial Engineering and Engineering Management, 2010 IEEE 17Th International Conference , 70-74.
Wiedmann, T., & Minx, J. (2007). A Definition of 'Carbon Footprint. CC Pertsova, Ecological Economics Research Trends: Chapter 1, 1-11, Nova Science Publishers, Hauppauge NY, USA.
Wu, T., Shunk, D., Blackhurst, J., & Appalla, R. (2007). AIDEA: A methodology for supplier evaluation and selection in a supplier-based manufacturing environment. International Journal of Manufacturing Technology and Management, 11(2), 174-192.
Zadeh, L. A. (1978). Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, 1(1), 9-34.
Zhu, Q., Sarkis, J., & Lai, K.H. (2008). Green supply chain management implications for closing the loop. Transportation Research Part E: Logistics and Transportation Review, 44(1), 1-18.
Zsidisin, G.A., & Siferd S.P. (2001). Environmental purchasing: a framework for theory development. European Journal of Purchasing and Supply Management, 7(1), 61-73.
二、中文部分
行政院環保署 (2011)。產品與服務碳足跡查證技術指引。
李允中、王小璠、蘇木春 (2004)。模糊理論及其應用。台北市:全華科技圖書股份有限公司。
洪海玲 (2002)。以資料包絡分析法作製造業之營運效率分析。國立成功大學工業管理研究所碩士論文。
胡憲倫、許家偉、吳唯丞 (2006)。環境風險觀點之綠色供應鏈管理。工業污染防治,98 ,103-120 。
張嘉恆、蘇純繒、林君維 (2005)。綠色供應鏈模擬存貨策略之研究。電子商務與數位生活研討會ECDL,149。
張睿詒、侯穎蕙 (2001)。省立醫院最佳經營典範探討-技術效率、分配效率與整體效率之評估。管理評論,20(4),1-27。
張錫峰、周齊武 (1992)。資料包絡分析極其在效率評估上之應用。會計評論,26,76-92。
許晃雄、吳宜昭、周佳、陳正達、陳永明、盧孟明 (2011)。臺灣氣候變遷科學報告2011。台灣:行政院國家科學委員會。
郭彥秀、黃世滔 (2008)。應用模糊資料包絡分析法評估鋼鐵業企業績效。工程科技與教育學刊,5(3),477-496。
郭財吉、廖友菁 (2006)。再製造生產環境之綠色供應鏈管理系統的建置與分析。工業污染防治,98 ,83-101。
陳玥樺 (2012)。應用Fuzzy DEA建立考慮風險之供應商評選模式。國立高雄應用科技大學企業管理學研究所碩士論文。
陳冠中 (2011)。從績效評估探討銀行產業之風險效率衡量-DEA模型之應用。東海大學工業工程與經營資訊研究所博士論文。
陳碧珠。沃爾瑪綠色採購 科技廠嘗甜頭。2010-12-27/經濟日報/A1版/要聞。
彭雅惠 (2003)。台灣金融機構之效率評估:銀行業之購併效率與生產力分析及農會信用部之績效評估與影響因素。國立交通大學管理科學系博士論文。
游明敏 (2001)。航空噪音管制及投入擁擠對機場經營績效影響之研究。國立臺灣大學土木工程學系博士論文。
黃文輝、陳宏仁 (2005)。綠色供應鏈的推動內容與程序環安簡訊電子報。第五十一期。
蔡雅蕙 (2005)。銀行經營效率評估之研究:模糊化資料包絡分析法應用。國立暨南國際大學財務金融學系碩士論文。
鄭玉惠、賴麗華 (2007)。企業導入綠色供應鏈風險評估-以半導體封裝測試業為例。台灣:國家科學委員會專題研究計畫。
簡禎富 (2005)。決策分析與管理:全面決策品質提升之架構與方法。台北市:雙葉書廊。
三、網路部分
華碩官網。http://tw.asus.com/。
友達光電。http://www.auo.com.tw/?sn=15&lang=zh-TW。
群創光電。http://www.innolux.com/opencms/cmo/index.html?__locale=zh_TW。
企業永續發展協會。http://www.bcsd.org.tw/column/97 (2010年10月18日)。
挪威商立恩威驗證股份有限公司。http://www.dnvba.com/tw/DNV%20%20Downloads/Asus-Carbon%20footprint_DNV_120206.pdf (2012年2月6號)。 


QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top