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A Monte Carlos Study Over the Efficiency Evaluation of Regular Hierarchical Decision Making Units

Year 2007, Issue: 3, 41 - 55, 01.04.2007

Abstract

In this study, the two possible techniques of computing efficiency scores of the upper decision making units (uDMU) which contain a lot of sub decision making units (sDMU) and whose inputs and outputs can be summable, are compared with the Monte Carlo technique. This problem appeared while the 2002 FIFA World Cup teams'efficiency scores are computed. Each players can be thought as an sDMU and each team can be thought as an uDMU. Team's efficiency score can be computed by the help of the player efficiency scores or the team data. The results obtained by two techniques are tested by Mann-Whitney U test. The situataion that uDMU's contain sDMU's having the same size repeated for trials with different uDMU and different numbers of inputs and outputs. Trials applied for CCR and BCC, two of the DEA models obtained the paralel results to each others.

References

  • 1. BANKER,R.D.,CHARNES,A.,COOPER,W.W.,(1984),Somemodels for esti mating technical and scale inefficiencies in data envelopment analysis, Management Science, 30(9), 1078-1092
  • 2. BANKER, R.D., GADH, V.M., GORR, W.L., (1993), A monte carlo comparison of two production frontier estimation methods: corrected ordinary le ast squares and data envelopment analysis, European Journal of Opera tional Research, 67,332-343
  • 3. BANKER R. D., CHANG H., COOPER W.W., (2004), A simulation study of DEA and parametric frontier models in the presence of heteroscedasti city, European Journal of Operational Research, 153,324-340
  • 4. BARDHAN I.R., COOPER W.W., KUMBHAKAR S.C, (1998), A simulation study of joint uses od Data Envelopment Analysis and Statistical Reg ressions for Production Function Estimation and Efficiency Evaluation, Journal of Productivity Analysis, 9,249-278
  • 5. BIFULCO R., BRETSCHNEIDER S., (2001), Estimating school efficiency: A comparison of methods using simulated data, Economics and Educaton Review, 20,417-429
  • 6. BOJANIC A. N., CAUDILL S. B., FORD J. M., (1998), Small-sample properties of ML, COLS and DEA estimators of frontier models in the presence of heteroscedasticity, European Journal of Operational Research, 108, 140-148
  • 7. CHAPARRO F. P., JIMENEY J.S., (1997), On the role of weight restrictions in DEA, Journal of Productivity Analysis, 8,215-230
  • 8. CHARNES A, COOPER W.W., RHODES E., (1978), The efficiency of decision making units", European Journal of Operational Research, 2,429-444
  • 9. DEBREU G., (1951), The coefficient of resource utilisation, Econometrica,19,273-292
  • 10. DESAI A., RATICK J. S., SCHINNAR A. P., (in pres), Data Envelopment Analysis with stochastic variations in data, Socio Economic Planning Scien ces
  • 11. FARRELL M J., (1957), The measurement of productivity efficiency, Jour nal of Royal Statistical Society, Serie A, CXX, 253-287
  • 12. GONG, B., SICKLESS, R.C., (1992), Finite sample evidence on the perfor mance of stochastic frontiers and data envelopment analysis using pa nel data, Journal of Econometrics, 51,259-284
  • 13. GOTTOUFI S., ORAL M., RE ISM AN A., (2003) "Data Envelopment Analysis literature a bibliyograpy uptade (1951-2001), Socio Economic Planning Sciences, doi: 10.(016/50038-0121
  • 14. GOTTOUFI S., ORAL M., REISMAN A., (2004), A taxonomy for data enve lopment analysis, Socio Economic Planning Sciences, 38,141-158
  • 15. HAAS D. A., MURPHY F.H., (2003), Compesanting for non-homogeneity in decision making units in data envelopment analysis, European Journal of Operational Research, 144,530-544
  • 16. HUGHES A,YAISAWARNG S., (2004), Sensitivity and dimensionalitytests of DEA efficiency scores, European Journal of Operational Research, 154, 410-422
  • 17. MCMULLENP.,FRAZIERG.V.,(1998),Using simulation and Data Evelop ment Analysis to Compare Assembly Line Balancing Solutions, Journals of Productivity Analysis, 11,149-168
  • 18. LOTHGREN M., (1999), Bootsrapping the Malmquist peoductivity index a simulation study", Applied Economic Letters, 6(11), 707-710
  • 19. LOTHGREN M., (2000), On the consistency of DEA-based average effici ency bootsrap", Applied Economic Letters, 7 (1), 53-57
  • 20. RAJIV, D.B., SURYA, J., RAM, N., (2004), Analysis of trends in technical and allocative efficiency: An application to Texas public school districts, European Journal of Operational Research, 154 (2), 477-491
  • 21. SEIFORD L.M., (1997), A bibliyography for data envelopment analysis (1978-1996), Annals of Operations Research, 73,279-281
  • 22. SHAWN A, G., DIMITRI, M., VIVIAN, V, (2004), Competetive effects on teaching hospitals, European Journal of Operational Research, 154 (2), 515- 525
  • 23. SUOYESHIT., (2001), ExtendedDEA-Discriminant Analysis, European Jo urnal of Operational Research, 131,324-351
  • 24. WARRY S.H., (2003), Adaptive non-parametric efficiency frontier analy sis: a neural network-based model, Computers and Operations Rese arch, 30 (2), 279-295
  • 25. www.fifaworldcup.yahoo.com./o2/en/t/st/gk/mp/
  • Erişim Tarihi: 20.05.2004

Düzenli Hiyerarşik Karar Verme Birimlerinin Etkinlik Değerlendirmesi Üzerine Bir Monte Carlo Çalışması

Year 2007, Issue: 3, 41 - 55, 01.04.2007

Abstract

Bu çalışmada her biri birçok alt karar verme birimlerinden (AKVB) oluşan, girdi ve çıktıları toplanabilir üst karar verme birimlerinin (UKVB) etkinlik skorlarını hesaplamada olası iki yolun Monte Carlo yöntemi ile karşılaştırılması yapıldı. Problem 2002 FİFA Dünya Kupası takımlarının etkinlik skorları değerlendirmesi sırasında ortaya çıktı. Oyuncular birer AKS/B ve takımlar UKVB gibi düşünülebilir. Takım etkinlik skoru oyuncu etkinlik skorlarından ya da takım verilerden hareketle hesaplanabilir. İki yolla elde edilen sonuçlar Mann Whitney U testiyle test edildi. UKVB'lerin aynı çaplı AKVB'lerden oluşması durumu, faklı UKVB ve farklı girdi çıktı sayılı denemeler için tekrarlandı. VIA modellerinden CCR ve BCCiçin yapılan denemelerden birbirine paralel sonuçlar elde edildi.

References

  • 1. BANKER,R.D.,CHARNES,A.,COOPER,W.W.,(1984),Somemodels for esti mating technical and scale inefficiencies in data envelopment analysis, Management Science, 30(9), 1078-1092
  • 2. BANKER, R.D., GADH, V.M., GORR, W.L., (1993), A monte carlo comparison of two production frontier estimation methods: corrected ordinary le ast squares and data envelopment analysis, European Journal of Opera tional Research, 67,332-343
  • 3. BANKER R. D., CHANG H., COOPER W.W., (2004), A simulation study of DEA and parametric frontier models in the presence of heteroscedasti city, European Journal of Operational Research, 153,324-340
  • 4. BARDHAN I.R., COOPER W.W., KUMBHAKAR S.C, (1998), A simulation study of joint uses od Data Envelopment Analysis and Statistical Reg ressions for Production Function Estimation and Efficiency Evaluation, Journal of Productivity Analysis, 9,249-278
  • 5. BIFULCO R., BRETSCHNEIDER S., (2001), Estimating school efficiency: A comparison of methods using simulated data, Economics and Educaton Review, 20,417-429
  • 6. BOJANIC A. N., CAUDILL S. B., FORD J. M., (1998), Small-sample properties of ML, COLS and DEA estimators of frontier models in the presence of heteroscedasticity, European Journal of Operational Research, 108, 140-148
  • 7. CHAPARRO F. P., JIMENEY J.S., (1997), On the role of weight restrictions in DEA, Journal of Productivity Analysis, 8,215-230
  • 8. CHARNES A, COOPER W.W., RHODES E., (1978), The efficiency of decision making units", European Journal of Operational Research, 2,429-444
  • 9. DEBREU G., (1951), The coefficient of resource utilisation, Econometrica,19,273-292
  • 10. DESAI A., RATICK J. S., SCHINNAR A. P., (in pres), Data Envelopment Analysis with stochastic variations in data, Socio Economic Planning Scien ces
  • 11. FARRELL M J., (1957), The measurement of productivity efficiency, Jour nal of Royal Statistical Society, Serie A, CXX, 253-287
  • 12. GONG, B., SICKLESS, R.C., (1992), Finite sample evidence on the perfor mance of stochastic frontiers and data envelopment analysis using pa nel data, Journal of Econometrics, 51,259-284
  • 13. GOTTOUFI S., ORAL M., RE ISM AN A., (2003) "Data Envelopment Analysis literature a bibliyograpy uptade (1951-2001), Socio Economic Planning Sciences, doi: 10.(016/50038-0121
  • 14. GOTTOUFI S., ORAL M., REISMAN A., (2004), A taxonomy for data enve lopment analysis, Socio Economic Planning Sciences, 38,141-158
  • 15. HAAS D. A., MURPHY F.H., (2003), Compesanting for non-homogeneity in decision making units in data envelopment analysis, European Journal of Operational Research, 144,530-544
  • 16. HUGHES A,YAISAWARNG S., (2004), Sensitivity and dimensionalitytests of DEA efficiency scores, European Journal of Operational Research, 154, 410-422
  • 17. MCMULLENP.,FRAZIERG.V.,(1998),Using simulation and Data Evelop ment Analysis to Compare Assembly Line Balancing Solutions, Journals of Productivity Analysis, 11,149-168
  • 18. LOTHGREN M., (1999), Bootsrapping the Malmquist peoductivity index a simulation study", Applied Economic Letters, 6(11), 707-710
  • 19. LOTHGREN M., (2000), On the consistency of DEA-based average effici ency bootsrap", Applied Economic Letters, 7 (1), 53-57
  • 20. RAJIV, D.B., SURYA, J., RAM, N., (2004), Analysis of trends in technical and allocative efficiency: An application to Texas public school districts, European Journal of Operational Research, 154 (2), 477-491
  • 21. SEIFORD L.M., (1997), A bibliyography for data envelopment analysis (1978-1996), Annals of Operations Research, 73,279-281
  • 22. SHAWN A, G., DIMITRI, M., VIVIAN, V, (2004), Competetive effects on teaching hospitals, European Journal of Operational Research, 154 (2), 515- 525
  • 23. SUOYESHIT., (2001), ExtendedDEA-Discriminant Analysis, European Jo urnal of Operational Research, 131,324-351
  • 24. WARRY S.H., (2003), Adaptive non-parametric efficiency frontier analy sis: a neural network-based model, Computers and Operations Rese arch, 30 (2), 279-295
  • 25. www.fifaworldcup.yahoo.com./o2/en/t/st/gk/mp/
  • Erişim Tarihi: 20.05.2004
There are 26 citations in total.

Details

Primary Language Turkish
Journal Section Articles
Authors

H. Hasan Örkçü This is me

İhsan Alp This is me

Publication Date April 1, 2007
Submission Date August 16, 2014
Published in Issue Year 2007 Issue: 3

Cite

APA Örkçü, H. H., & Alp, İ. (2007). Düzenli Hiyerarşik Karar Verme Birimlerinin Etkinlik Değerlendirmesi Üzerine Bir Monte Carlo Çalışması. Verimlilik Dergisi(3), 41-55.

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