Application of Electre III and DEA methods in the BPR of a bank branch network

Authors

  • Xenofon Damaskos Aristotle University of Thessaloniki - Civil Engineering Department - Division of Transport, Infrastructure, Management and Regional Planning, Thessaloniki, Greece
  • Glykeria Kalfakakou Aristotle University of Thessaloniki - Civil Engineering Department - Division of Transport, Infrastructure, Management and Regional Planning, Thessaloniki, Greece

DOI:

https://doi.org/10.2298/YJOR0502259D

Keywords:

classification, ranking, efficiency, ELECTRE methods, Data Envelopment Analysis, banking

Abstract

Operational research methodologies are a powerful tool assisting managers in their effort to critically review business data and decide on future business actions. This paper presents the application of Electre multi-criteria methodology and Data Envelopment Analysis, as a part of a small commercial bank's ongoing effort to reengineer its branch network. We focus on two particular problems: first, categorization of the branches so as to apply adequate equivalent organizational schemas and second the assessment of relative efficiency of human resources.

References

Adler, N., Friedman, L., and Sinuany-Stern, Z., “Review of ranking methods in the data envelopment analysis context”, European Journal of Operational Research, 140 (2002) 249-265.

Allen, L., and Rai, A., "Operational efficiency in banking: An international comparison“, Journal of Banking and Finance, 20 (1996) 655-672.

Andersen, P., and Petersen, N.C., “A procedure for ranking efficient units in DEA”, Management Science, 39 (1993) 1261-1264.

Athanassopoulos, A., “Non-parametric frontier models of assessing the market and cost efficiency of large scale bank branch networks”, Journal of Money, Credit and Banking, 30(2) (1998) 172-192.

Berger, A., and Humphrey, D., “Efficiency of financial institutions: International survey and directions for future research”, European Journal of Operational Research, 98 (1997) 175-212.

Charnes, A., Cooper, W.W., Lewin, A., and Seiford, L. (eds.), Data Envelopment Analysis: Theory, Methodology and Applications, Kluwer A.P, 1994.

Cooper, W., Seiford, L., and Tone, K., Data Envelopment Analysis, Kluwer Academic Publications, Boston/Dordrecht/London, 1999.

Cooper, W.W., Thompson, R.G., and Thrall, R.M., “Introduction: Extensions and new developments in DEA”, Annals of Operational Research, 74 (1996) 4-22.

Golany, B., and Storbeck, J.E., “A Data Envelopment Analysis of operational efficiency of bank branches”, Interfaces, 29 (3) (1999) 14-26.

Martel, J.M., Khoury, N.T., and Bergeron, M., "An application of a multicriteria approach to portfolio comparisons", Journal of Operational Research Society, 39 (7) (1988) 617-628.

Maystre, L.Y., Pictet, J., and Simos, J., "Methodes multicriteres ELECTRE", Presses Polytechniques et Universitaires Romandes, 1994.

Pardalos, P., Siskos, Y., and Zopounidis, K., (eds.), "Advances in multicriteria analysis", Kluwer Academic Publ., Dordrecht, 1995.

Roy, B., "ELECTRE III: Un algorithme de classements fonde sur une representation flue des preferences en presence de criteres multiples", Cahiers du CERO, 20 (1) (1978) 3-24.

Roy, B., and Bouyssou, D., "Aide multicritere a la decision: Methodes et cas", Economica, Paris, 1993.

Schaffnit, C., Rosen, D., and Paradi, J., “Best practice analysis of bank branches: An application of DEA in a large Canadian bank“, European Journal of Operational Research, 98 (1997) 269-289.

Thanassoulis, E., “Data Envelopment Analysis and its use in banking”, Interfaces, 29 (3) (1999) 1-13.

Vassiloglou, M., Giokas, D., “A study of the relative efficiency of bank branches: An application of DEA”, Journal of Operational Research Society, 41 (1990) 591-597.

Vincke, Ph., "Basic concepts of preference modelling", in: Bana e Costa (ed.), Readings in Multiple Criteria Decision Aid, Springer - Verlag, 1990, 101-118.

Zenios, C., Zenios, S., Agathocleous, K., and Soteriou, A., “Benchmarks of efficiency of bank branches”, Interfaces, 29 (3) (1999) 37-51.

Zopounidis, C., and Dimitras, A., "The forecasting of business failure: Overview of methods and new avenues", in: Janssen, J. & Skiadas, C.H. (eds.), Applied Stochastic Models and Data Analysis, World Scientific Publ., London, 1993.

Downloads

Published

2005-09-01

Issue

Section

Research Articles