臺灣博碩士論文加值系統

本研究參照層級分析法(Analytical Hierarchy Process, AHP)的概念，加以修改後導入資料包絡分析法(Data Envelopment Analysis, DEA)之CCR模式，發展出一套改良的績效評估方法，此方法能夠有效地評估各單位之績效值，並且對於績效差的對象可提出較有效率的改善建議。本研究方法是基於DEA之模式，並且加入了AHP的概念，因此本績效評估模式具有DEA利用數字來說話的客觀性，同時評估結果比起原始DEA模式將更切合實際狀況，例如用在供應商的評選上，在少量的評選對象上仍然可以使用，這是原有的DEA方法所無法應用的。
為了驗證方法的實用性，本研究以國內某背光模組公司之供應商評鑑為例，依照方法論所提出的步驟，選出高績效之供應商，並且提供低績效供應商較有效率的改善建議。經過了案例分析結果，本研究方法與原始的DEA模式比較，更適用於少數對象的評選問題上。

This research develops a methodology for the performance evaluation of different organizations like the selection of suppliers or the comparison of competitive companies. It can also provide the improvement directions for the organization under evaluation. The methodology is based on the CCR model of the Data envelopment analysis (DEA) method and the concept of the Analytical Hierarchy Process (AHP) method. The proposed method reserves the objectivity of DEA, and can be applied to more real-world problems than the original DEA model does.
A case study for the supplier evaluation problem of a backlight company is used to verify the applicability of the proposed method. The results show that the proposed method can overcome the evaluation problem of a small number of candidates under consideration, which is not applicable with the original DEA method.

1. Andersen, P., N.C. Petersen. “A Procedure for Ranking Efficient Units in Data Envelopment Analysis,”Management Science 39 1261-1264, 1993.

2. Barbarosoglu, G., Yazgac, T., 1997, “An Application of the Analytic Hierarchy Process to the supplier Selection Problem”, Production and Inventory Management Journal, pp. 14-21.

3. Beamon, B. M., “Measuring supply chain performance,” International Journal of Operations & Production Management, 19(3), 1999, 275-292.

4. Charnes, A., Cooper, W. W. and Rhodes, E.“Measuring the Efficiency of Decision Making Units,” European Journal of Operational Research, 2(6), pp. 429-444, 1978.

5. Choi, T. Y., Hartley, J. L., “An Explortation of Supplier Selection Practices Across the Supply Chain,” Journal of Operations Management, Vol.14, pp.333-343, 1996.

6. Dickson, G.W., “An Analysis of Vender Selection Systems and Decisions”, Journal of Purchasing, Vol. 2, No. 1, pp.5-17. 1966.

7. Doyle, J. R. and R. H. Grew (1991), “Comparing products using data envelopment analysis,” Omega, 19(6), pp. 631-638.

8. Elyasiani,E., Median, S. and Rezvanian, R.,“An Empirical Test of Association Between Production and Financial Performance The Caseof the Commercial Banking Industry”, Applied Financial Economics 14,PP. 55－59. 1994.

9. Lo, F. Y., Chien, C. F. and Lin, J. T., “A DEA study to evaluate the relative efficiency and investigate the district reorganization of the Taiwan power company,” IEEE Trans. Power Syst., vol. 16, pp. 170–178, Feb. 2001.

10. Golany, B. and Y. Roll, “An application procedure for DEA,” Omega,17(3), pp. 237-250, 1989.

11. Goffin, K., Szwejczewski, M. and New, C., “Managing Suppliers: When Fewer Can Mean More,” International Journal of Physical Distribution and Logistics Management, Vol.27, No.7, pp.422-436, 1997.

12. Lewin, A.Y., Morey, R.C. and Cook,T.J.,1982,”Evaluating the Administrative Efficiency of Courts”,OMEGA,Vol.10,No.4,P.401-411.

13. Lynch, J. R,., Ozcan, Y. A., “Hospital closure: An efficiency analysis”, Hospital & Health Services Administration. Summer 1994. Vol. 39, Iss. 2.

14. Murphy, D. J., Pearson, J.N. and Siferd, S. P., “Evaluating Performance of the Purchasing Eepartment Using Data Envelopment Analysis”, Journal of Business Logistics. Oak Brook: 1996. Vol. 17, Iss. 2; p. 77.

15. Narasimhan, R., Talluri, S,. and Mendez, D., “Supplier Evaluation and Rationalization via Data Envelopment Analysis: An Empirical Examination” The Journal of Supply Chain Management; Summer 2001.

16. Ondrich, J., and Ruggiero, J., “Efficiency Measurement in the Stochastic Frontier Model”, European Journal of Operational Research, Vol.129, 2001 pp.434-436.

17. Pearson, J. N. and Ellram, L. M., “Supplier Selection and Envaluation in Small versus Large Electronics Films”, Journal of Small Business Management, 1995.

18. Sarrico, C.S., Hogan, S.M., Dyson, R.G., Athanassopoulos, A.D., “Data envelopment analysis and university selection”, Journal of the Operational Research Society, 48, 1163 - 1177 (Dec 1997).

19. Swift, C. O., “Performance for Single Sourcing and Supplier Selection Criteria,” Journal of Business Research, Vol.32, No.2, pp.105-111, 1995.

20. Taskin, F. and Zaim, O., 2001, ”The role of international trade on environ-mental efficiency：a DEA approach”,Economic Modelling 18,P.1-17

21. Tser-Yieth Chen and Tsai-Lien Yeh.,1998, ”A study of efficiency evaluation in Tai-wan`s Banks”,International Journal of Service Industry Management,Vol.9,No.5,P.402-415.

22. Weber, C.A., Current, J.R. and Bonton, W.C., “Vendor Selection Criteria and Methods”, European Journal of Operations Research, 50, 1991, 2-18.

23. Wilson, E. J., “The Relative Importance of Suppliers Selection Criteria : A Review and Update”, International Journal of Purchasing and Materials Management, Vol.30, No.3, pp.35-41, 1994.


24. 刀根薰、真鍋龍太郎，1990，AHP事例集/階層化意思決定法，東京巿日科技連出版。

25. 吳偉立，教學醫院醫療部門之績效評估─資料包絡法觀點，碩士論文，國立臺灣大學，2002。

26. 李宏文，結合層級分析法、模糊理論與灰色系統理論建構供應商評鑑模式之研究，碩士論文，國立台北科技大學，2002。

27. 林文信，台灣產業的環境資源效率－以資料包絡分析法探討，碩士論文，國立台北大學，2002。

28. 林世磬，以資料包絡分析法評估我國紡織業經營績效之研究－國內五十家上市公司之實證，碩士論文，實踐大學，2003。

29. 邱美玲，1994，製造業供應商的選擇與評估，國立台灣工業技術學院工業管理學程，碩士論文。

30. 洪海玲，以資料包絡分析法作製造業之營運效率分析，碩士論文，國立成功大學，2002。

31. 孫遜，2004，資料包絡分析法─理論與應用，揚智文化。

32. 高強、黃旭男、Toshiyuki Sueyoshi，2003，管理績效評估─資料包絡分析法，華泰文化。

33. 張錫峰、周齊武，資料包絡分析及其在效率評估上之應用，會計評論第二十六期，1992。

34. 陳永志，使用資料包絡分析法評估我國資訊服務業之經營效率，碩士論文，國立交通大學，2001。

35. 陳怡和、汪行全，1999，供應商管理標竿之建立與分析—以台灣筆記型電腦產業為例，品質學報 第六卷第一期。

36. 陳啟政，運用總品質成本分析之供應商績效評估模式，博士論文，中原大學，2003。

37. 游智超，應用資料包絡分析法評估國籍貨櫃航商整體營運效率之研究，碩士論文，國立高雄第一科技大學，2003。

38. 童宗傑，台灣地區新銀行經營績效比較分析資料包絡分析法之應用，碩士論文，國立中山大學，2001。

39. 黃智偉，供應鏈管理下供應商選擇評估之研究—以臺灣地區中衛體系之汽機車業與電腦資訊業為例，碩士論文，雲林科技大學，2000。

40. 楊淑惠，運用資料包絡分析法於電子化採購績效評估系統之研究－以紡織成衣業為例，碩士論文，國立成功大學，2003。