A decision-making model for operational efficiency in the banking workflow process of housing facilities

Document Type : Research Paper


1 Kharazmi University

2 University of kharazmi


Banking and financial services are important parts of the service industry. Quality of service in the banking industry has a close relationship with customer satisfaction service system. Banks could create competitive advantage by increasing customer satisfaction and reduce costs in today's competitive environment. This paper presents a decision-making model to obtain optimum tasks assignement to personnels in workflow process of housing facilities for the purposes of minimization the average processing time of orders entered into workflow (average time) and also personnel operating costs to minimize banking workflow preocess (operating costs) which it would reduced the waiting times for customers and ultimately higher satisfaction level for the customers. This is a non-linear multi-objective optimization problem and with respect the nature of the variables would be define in a discrete integer space. Since the problems is in NP-hard problems in class, solving the optimization problem has been conducted using non-dominate Sorting Genetic Algorithm II.


Augustine, A. (2013). Queuing Model as a Technique of Queu Solution in Nigeria Banking Industry. Developing Country Studies, 3(8): 188-195.
Bai, X. & Gopal, R. & Nunez, M. & Zhdanov, D. (2014). A decision methodology for managing operational efficiency and information disclosure risk in healthcare processes Network Security. Journal homepage, 57: 406 - 416.
Gross, D., Shortle, J.F., Thompson, J.M. & Harris, C.M. (2008). Fundamentals of Queuing Theory. Fourth edition, New York: John Wiley & Sons, Inc.
Hosaini, M., Ahmadinezhad, M. & Ghaderi, S. (2010). Review and assessment of service quality and its relation to customer satisfaction, Commercial Bank Case Study. Business Review Magazine, 42: 88-97. (in Persian)
Iwu1, H. C., Ogbonna1, C. & Jude, O. (2013). Graphical and queuing model of banking operations in Intercontinental Bank Plc, Nigeria. American Journal of Theoretical and Applied Statistics, 2(6): 282-292.
Jumaily, A. & Jobori, H. (2011). Automatic Queuing Model for Banking Applications. International Journal of Advanced Computer Science and Applications (IJACSA), 2 (7): 11-15.
Karimian nokabadi, A. (2004). Provide an optimal service to customers using Lehigh fashion the queue. Thesis Master, Tehran University. (in Persian)
Matinnafas, F. (2005). Effective risk management incentives. Conference - Tehran International Industrial Engineering, 2: 15-22 (in Persian)
Momeni, M. & Moshfegh, F. (2006). Queuing system performance (employees – cashiers) Bank Sepah. Journal of Knowledge Management, 3 (74): 111-131. (in Persian)
Pasandideh, S. H. R. & Akhavan Niaki, S. T. (2012). Genetic application in a facility location problem with random demand within queuing framework. Journal of Intelligent Manufacturing. (in Persian)
Sheikh, D., Kumar Singh, S. & Kumar Kashuap, A. (2013). Application of queuing theory for the improvement of banking service. International Journal of Advanced Computational Engineering and Networking, 1(4): 15-18.