Agent-Based Approach to Configure Processes in Iran’s Banking Service Supply Chain

Improving the service processes of banks requires updating and optimizing banking supply chain processes as well as understanding the interaction between the constituent elements of each process. This paper applies agent-based modeling to configure selected processes of Tejarat Bank’s service supply chain, a large bank in Iran. Tejarat’s banking process system is presented and the most effective processes of the banking supply chain are identified. The interactions between the processes are examined and the research model is presented. We execute the agent-based modeling in a simulated environment. The simulation results are analyzed using Taguchi’s experimental method. Selected combinations of the elements of the integrated marketing communications program are presented to reduce the liquidity risk of Tejarat Bank