Reducing the risk of Insolvency and costs in the field of banking with the approach of selecting partners

Subject Areas : مدیریت

Moussa  Azarbad ¹ (PhD Student, Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran)
Amirabbas  Shojaie ² (Associate Professor, Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran)
Farshid  Abdi ³ (Assistant Professor, Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran)
Vahidreza  Ghezavati ⁴ (Associate Professor, Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran)
kaveh  khalili Damqani ⁵ (Associate Professor, Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran)

Received: 2020-06-10 Accepted : 2020-06-10 Published : 2020-05-21

Keywords: Banking, Multi-objective genetic algorithm, Insolvency Risk of Banks, Partner Selection,

Abstract :

Banking is one of the main components of any system and government, and proper management and proper promotion are one of the key factors in the country's economic growth. Banks are exposed to multiple risks as well as lack of control over bank charges; in this regard, appropriate strategies have to be adopted to improve banks' performance in this regard. One of these methods is the selection of partners to divide and reduce risk and share costs, so that they can reduce the Insolvency Risk of Banks and reduce the bank's share of cost control and lead to the bank's growth in financing and ultimately, economic growth in the country. In this research, a multi-objective model for selecting partners in the field of banking has been presented and further optimized using a multi-objective genetic algorithm.In this research, a multi-objective model for selecting partners in the field of banking has been presented and further optimized using a multi-objective genetic algorithm.