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Today, productivity for all developing and developed countries is a national priority and it is gradually appearing as a managerial strategy in our country. Economic growth and improving the standard of living could be possible only by using effective management of scarce resources to obtain the maximum value added. Economics is the knowledge of scarce resources, and management is the knowledge of decision making for utilizing these resources. Scarce resource creates value added in an organization. Hence the management of these resources is of prime importance. In this paper, after explaining the concepts of productivity and the consumer - based marketing, we describe conceptual models of ranking banks customer, customer pyramid model and modified model of Boston Consulting Group for Customer (BCGC) productivity. We then propose a framework to rank bank customers by using MADM Models to offer better services.

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agent-based modeling is an emerging computational technique that makes it possible to simulate complex economic systems, including the banking network, with a bottom-up approach. In this paper, the country's banking network is simulated with an intelligent multi-agent modeling model and indicates that these agents behave based on the adaptive learning. This modeling has been done with the aim of examining and evaluating the impact of regulatory policies on the interbank market and based on the balance sheet data of  25 member banks of the interbank market in the years 2006-2019. To assess the impact of regulatory policy, the scenario of having Clearing House to reduce non-payments in the interbank market has been examined. Due to the learning of the agents, in this simulation, the results show the direct and indirect impact of regulations on the interbank market by changing the adaptive strategies of the agents. According to the results of this study, monitoring the interbank market through the Clearing House, solves the problem of information asymmetry in the interbank market and thus reduces financial contagion and increases the stability of the system.

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One of the key issues in financial stability studies and prudential policies is systemic liquidity risk, in other words, the risk of liquidity problems at the same time and in several financial institutions. The fact that in the complex network of interbank market interconnections, the lack of liquidity is provided by spreading it between financial institutions, can lead to "systemic contagion" in the banking network. This research aims to investigate the existence of systemic contagion in the banking network of Iran and the effect of the Basel Committee's prudential regulations on interbank contagion based on the balance sheet data of 25 banks that are members of the interbank market in the years 2006-2018. For this purpose, based on the agent-based approach, Iran's banking network has been modeled and simulated. In this model, banks and the central bank are intelligent agents. Based on the obtained results, prudential regulatory requirements change banks' adaptive strategies, and banks put increasing the capital adequacy ratio on their agenda. In addition, this research shows that although the guidelines of the Basel Committee have succeeded in reducing contagion in the long run and making the banking network more stable, banks also reduce the supply of loans to the real sector, which can lead to a crunch in the economy.