Process; Balanced scorecard; Data envelopment analysis; cross efficiency; Goal programming; Lean Six Sigma.


Most of organizations use much of their focus and attention to solve problems, difficulties and weaknesses in their systems and processes to increase productivity and consequently to achieve sustainable competitive advantage in the global business arena. Organizations spend lots of time and resources to plan and develop their strategies; however most of them fail in the implementation of the strategy. Organizations try to achieve success through integrated performance of processes and technology to respond to the needs of their customers. Nowadays, application of Lean Six Sigma methodology is so applicable for organizations that operate in the competitive world. The importance of implementing the Lean Six Sigma in an organization is that the considered problem or process be discovered properly and selection of process beat the direction of organization's goals. In this way, organization can be targeted to take steps towards continuous improvement by improving the process performance.

The purpose of this research is choosing a strategic process through the Ghavamin Bank accounting group processes to improve the performance through application of Lean Six Sigma methodology. For this purpose, for selection of the process, first the criteria for choosing a strategic process were identified through six main measures of Balanced Scorecard and also by using the expert opinions. Consequently, information related to accounting group processes were collected through a database of Ghavamin Bank different units as well as interviews with Bank experts.Finally, using cross efficiency data envelopment analysis model, the performances of the processes were evaluated. The results showed that the process No. 18 ranked at the first place and it was introduced as the bank's strategic process to make continuous improvement in the Lean Six Sigma methodology.

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  1. Kaplan, Robert S. Norton, David P. 2004. Strategy-focused organization. Translated by Bakhtiyari, P. First edition, Tehran: Management industry organization.
  2. Rezaee, Gh.,AghaSeyedHosseini, S.M. 2011. Twelve Steps to develop and implement a Balanced Scorecard and determining the performance indicators. First Edition.Bergapublication, Tehran, Iran.
  3. Byrne, G. Lubowe, D. Blitz, A.2007. Using a Lean Six Sigma approach to drive innovation. Journal of Strategy and Leadership,35(2):5-10.
  4. Charnes, A., Cooper, W., Rhodes, E. 1978. Measuring the efficiency of decision making units. European Journal of Operational Research, 2:429–444.
  5. Kwak, Y.H. Anbari, F.T. 2004.Benefits, obstacles and future of six sigma approach. Tec novation,20:1-8.
  6. Liang, L., Wu, J.,Cook, W.,Zhu, J. 2008. Alternative secondary goals in DEA cross efficiency evaluation. International Journal of Production Economics, 36:1025-1030.
  7. Ehrgott,M. 2000.Multicriteria Optimization. Volume 491:LectureNotes inEconomics and Mathematical Systems, Springer-Verlag, Berlin.
  8. Moeini, M., Karimi, B., Khorram, E. 2015.A Cross-Efficiency Approach for Evaluating Decision Making Units in Presence of Undesirable Outputs. In book: Modelling, Computation and Optimization in Information Systems and Management Sciences, Springer:487-498.
  9. Shah, R., Chandrasekaran,A., Linderman, K. 2008.In pursuit of implementation patterns: The context of Lean and Six Sigma. International Journal of Production Research,46(23):6679-6699.
  10. Sexton, T.R., Silkman, R.H., Hogan, A.J.1986. Data envelopmentanalysis: Critique and extensions. In: Silkman, R.H.(Ed.), of Data Measuring Efficiency: An Assessment EnvelopmentAnalysis, 32,Jossey-Bass, San Francisco: 73–105.
  11. Cook, W., Seiford, L. M. 2009. Data envelopment analysis (DEA): Thirty years on. European Journal of Operational Research, 34:1-17.
  12. Wang, F.K., Chen, K.SH. 2010. Applying Lean Six Sigma and TRIZ methodology in banking services. Total Quality Management,21(3):301–315.
  13. Rodder, W., Reucher, E. 2012.Advanced x-efficiencies for CCR and BCC models: towards peer-based DEA controlling. European Journal of Operational Research 37:467-476. 
  14. Rodder, W., Reucher, E. 2011.A consensual peer-based DEA-model with optimized cross-efficiencies: input allocation instead of radial reduction. European Journal of Operational Research, 36:148-154.