Presenting a Model to Optimization Simulation of EFQM Excellence Model Approaches using System Dynamics and Genetic Algorithms in I.R.Iran Banking Network

Nowadays, quality management is an important field for organizations, including the banking system, which faces fierce competition. Organizational Excellence Models serve as guides to help organizations improve their quality. The main aim of this study was to investigate the dynamic relationships between the approaches and criteria of the EFQM organizational excellence model and optimize the simulation of these relationships. To do this, we first identified the common approaches in the organizational excellence model and clustered them using the fuzzy clustering method. Next, we used the systems dynamics method of causal rings to discover the dynamic relationships between these approaches. Finally, using data from the banking system in Iran, we simulated cases and optimized the growth rate of organizational excellence in the sample over 20 years (2018-2019).