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研究生： 張晉維
Chang, Chin-Wei
論文名稱： 具不精準資料之網路生產系統效率評比-以臺灣成衣製造公司為例
Measuring the efficiency of network production systems with imprecise data: The application of a garment manufacturing company in Taiwan
指導教授： 高強
Kao, Chiang
學位類別： 碩士
Master
系所名稱： 管理學院 - 工業與資訊管理學系
Department of Industrial and Information Management
論文出版年： 2015
畢業學年度： 103
語文別： 中文
論文頁數： 72
中文關鍵詞： 網路資料包絡分析法 、威爾考克森符號等級檢定 、不精準資料 、模糊集合理論 、兩階段數學規劃
外文關鍵詞： network data envelopment analysis, Wilcoxon signed-rank test, imprecise data, fuzzy sets, two-level mathematical program.
相關次數： 點閱：105  下載：9 
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    • 系統運作效率為經營管理的重要衡量指標，現實生活中，系統往往由多個程序所組成，因此具有網路架構，而內部的運作績效是影響系統效率的重要因素，因此評比系統效率時應將內部程序納入考量。資料包絡分析法(Data envelopment analysis, DEA)為評比系統效率的重要方法，此方法以系統的投入與產出因子進行評比，若有部分因子以定性、語意等方式表達，系統的效率評比會變得更加複雜，有鑑於此，本研究提出具不精準觀測值之網路生產系統的評比方法，得到的效率值亦為不精準數值，進一步，可採用統計方法比較評比結果，而傳統的統計方法適用於觀測值皆為精準的數值，因此本研究採用能檢測不精準觀測值差異的統計方法
    本研究以臺灣一成衣製造公司為案例進行分析，成衣製造選定裁切與車縫兩個程序進行分析，不論在裁切和車縫都可由自製或外包進行生產，故此系統具網路架構，而評比因子的其中一項為困難度，其數值無法精準的表達，本論文採用模糊數(Fuzzy number)的方式表示困難度的數值。收集相關數據後進行效率衡量，並以統計方法檢測評比結果。結果發現，裁切在自製與外包的表現上無顯著差異;車縫在自製與外包的比較則因困難度的模糊設定而異，不同的設定方式可能會影響最後的檢測結果。本研究分別測式5%與2.5%的模糊寬鬆值，在寬鬆值2.5%的情形下，結果顯示，車縫外包的生產效率大於自製的生產效率。

    The conventional data envelopment analysis (DEA) models for measuring efficiency ignore operations of the component processes, and thus are unable to carry out a detailed analysis. In contrast, the network DEA takes the internal structure of the system into account, the efficiency of processes can thus be obtained at the same time. This thesis develops a network DEA model with fuzzy data. The extension principle is utilized to measure the system and process efficiencies via the two-level mathematical programming. Since the data is fuzzy, the measured efficiencies are also fuzzy, and the statistic for testing whether there are differences between two populations is fuzzy as well. A case of Taiwan garment manufacturing company is used for illustration. For the two major operations of the firm, cutting and sewing, each operation includes in-house manufacturing and outsourcing. The result shows that the efficiencies of in-house manufacturing and outsourcing for cutting is not significantly different; however for sewing, the former is significantly less efficient than the latter.

    目錄 口試合格證明 I 摘要 II 英文延伸摘要 III 誌謝 VIII 目錄 IX 表目錄 XI 圖目錄 XII 第一章 緒論 1 1.1研究動機與目的 1 1.2論文架構 3 第二章 資料包絡分析法 4 2.1黑箱模式 5 2.2網路模式 6 2.3模糊效率衡量 9 2.3.1隸屬度函數法 10 2.3.2 α截集法 10 第三章 威爾考克森符號等級檢定 15 3.1明確觀測值 15 3.2不精準觀測值 16 第四章 個案模式計算 21 4.1成衣製造程序 21 4.2黑箱模式 23 4.3網路模式 24 4.3.1關聯模式 24 4.3.2具不精準觀測值之關聯模式 29 4.3.3模糊性轉移 31 第五章 個案結果分析 35 5.1生產效率評比結果分析 35 5.2內部程序檢定 42 5.2.1確定型檢定 42 5.2.2模糊型檢定 44 第六章 結論 47 參考文獻 49 附錄A.1:具不精準觀測值之黑箱模式完整模糊效率值(寬鬆值5%) 53 附錄A.2:具不精準觀測值之黑箱模式完整模糊效率值(寬鬆值2.5%) 55 附錄A.3:具不精準觀測值之網路模式完整模糊效率值(寬鬆值5%) 57 附錄A.4:具不精準觀測值之網路模式完整模糊效率值(寬鬆值2.5%) 65 表目錄 表 5.1 各筆訂單投入與產出紀錄 35 表 5.2 各筆訂單困難度之三角模糊數下界、頂點與上界 36 表 5.3a 裁切程序投入與產出紀錄 37 表 5.3b 車縫程序投入與產出紀錄 38 表 5.4a α=1時關聯模式前九個程序的效率值 39 表 5.4b α=1時關聯模式後九個程序的效率值 40 表 5.5 第11筆訂單各個α值所對應之效率上下界 41 表 5.6 裁切自製與外包之威爾考克森符號等級檢定 43 表 5.7 車縫自製與外包之威爾考克森符號等級檢定 44 表 5.8 程序2a與程序2b進行模糊威爾考克森等級符號檢定之統計量(5%) 45 表 5.9 程序2a與程序2b進行模糊威爾考克森等級符號檢定之統計量(2.5%) 46 圖目錄 圖 2.1 通用網路架構 7 圖 3.1成對觀測值模糊區間示意圖 18 圖 4.1 本研究所探討的成衣生產系統 22 圖 4.2成衣製作程序之網路架構圖 25 圖 4.3並聯與串聯組成之網路架構 28 圖 5.1 系統、子系統I與子系統II效率值之隸屬度函數 41 圖 5.2 程序2a與程序2b進行模糊威爾考克森符號等級檢定之統計量W的隸屬度函數(5%寬鬆值) 45

    中文文獻：
    陳柏佑、馬韶君、鄭美馨與楊景雯(2013)，應用資料包絡分析法探究成衣製造之生產效率，國立成功大學工業與資訊管理學系大學部專題報告。
    英文文獻：
    Avkiran, N.K., Tone, K., Tsutsui, M., 2008. Bridging radial and non-radial measures of efficiency in DEA. Annals of Operations Research 164, 127-138.
    Banker, R.D., Charnes, A., Cooper, W.W., 1984. Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science 30, 1078-1092.
    Bellman, R., Zadeh, L.A., 1970. Decision making in a fuzzy environment. Management Science. 17B, 141-164.
    Charnes, A., Cooper, W.W., Golany, B., Seiford, L., Stutz, J., 1985. Foundation of data envelopment analysis and Parero-Koopmans empirical production functions. Journal of Econometrics 30, 91-107.
    Charnes, A., Cooper, W.W., Rhodes, E., 1978. Measuring the efficiency of decision making units. European Journal of Operational Research 2, 429-444.
    Denoeux, T., Masson, M.H., Hébert, P.A., 2005. Nonparametric rank-based statistics and significance tests for fuzzy data. Fuzzy Sets and Systems 153, 1–28.
    Färe, R., Grosskopf, S., 2000. Network DEA. Socio-Economic Planning Sciences 34, 35-49.
    Färe, R., Lovell, C.A.K., 1978. Measuring the technical efficiency of production. Journal of economic theory 19, 150-162.
    Filzmoser, P., Viertl, R., 2004. Testing hypotheses with fuzzy data: The fuzzy p-value. Metrika 59, 21-29.
    Gibbons, J.D., Chakraborti, S., 2003. Non-parametric Statistical Inference, 4th Edition. Marcel Dekker, New York.
    Grzegorzewski, P., 2000. Testing statistical hypotheses with vague data. Fuzzy Sets and Systems 112 501-510.
    Kahraman, C., Bozdag, C.E., Ruan, D., Ozok, A.F., 2004. Fuzzy sets approaches to statistical parametric and nonparametric tests. International Journal of Intelligent Systems 19, 1069-1078.
    Kao, C., 2006. Interval efficiency measures in data envelopment analysis with imprecise data. European Journal of Operational Research 174, 1087-1099.
    Kao, C., 2009a. Efficiency measurement for parallel production systems. European Journal of Operational Research 196, 1107-1112.
    Kao, C. 2009b. Efficiency decomposition in network data envelopment analysis: A relational model. European Journal of Operational Research 192, 949-962.
    Kao, C., 2012. Efficiency decomposition for parallel production systems. Journal of the Operational Research Society 63, 64-71.
    Kao, C., Hwang, S.N., 2008. Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan. European Journal of Operational Research 185, 418-429.
    Kao, C., Hwang, S.N., 2010. Efficiency measurement for network systems: IT impact on firm performance. Decision Support Systems 48, 437-446.
    Kao, C., Liu, S.T., 2000. Fuzzy efficiency measures in data envelopment analysis. Fuzzy Sets and Systems 113, 427-437.
    Kaya, O., 2011. Outsourcing vs. in-house production: A comparison of supply chain contracts with effort dependent demand. Omega 39, 168-178.
    Leon, T., Liern, V., Ruiz, J.L., Sirvent, I., 2003. A fuzzy mathematical programming approach to the assessment of efficiency with DEA models, Fuzzy Sets Systems 139, 407-419.
    Liu, J.S., Lu, L.Y.Y., Lu, W.M., Lin, B.J.Y., 2013. A survey of DEA applications. Omega 41, 893-902.
    Seiford, L.M., 1996. Data envelopment analysis: The evolution of the state of the art. The Journal of Productivity Analysis 7, 99-137.
    Seiford, L.M., Zhu, J., 1999. Profitability and marketability of the top 55 U.S. commercial banks. Management Science 45, 227-249.
    Sengupta, J.K., 1992. A fuzzy-systems approach in data envelopment analysis. Computers & Mathematics with Applications. 24, 259-266.
    Taheri, S.M., Hesamian, G., 2013. A generalization of the Wilcoxon signed-rank test and its applications. Statistical Papers 54, 457-470.
    Tone, K., 2001. A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research 130, 498-509.
    Vaidyanathan, V.S., 2014. Wilcoxon signed rank test for imprecise observations. Journal of Mathematics 10, 55-59.
    Wen, M.L., Li, H.S., 2009. Fuzzy data envelopment analysis: Model and ranking method. Journal of Computational and Applied Mathematics 223, 872-878.
    Yang, Y., Ma, B., Koike, M., 2000. Efficiency-measuring DEA model for production system with k independent subsystems. Journal of the Operations Research Society of Japan 43(3), 343-354.
    Zadeh, L.A., 1972. A fuzzy-set-theoretic interpretation of linguistic hedges, Journal of Cybernetics 2,4-34.
    Zadeh, L.A., 1973. Outline of a new approach to the analysis of complex system and decision processes. IEEE Transactions on Systems, Man and Cybernetics SMC3, 28-44.
    Zadeh. L.A., 1975. The concept of a linguistic variable and its application to approximate reasoning-I. Information Sciences 8, 199-249.

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