International Conference on Information and Knowledge Technology

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Human Resource Allocation to the Credit Requirement Process, A Process Mining Approach

Authors :

Omid Mahdi Ebadati¹ Mohammad Mehrabioun² Shokoofeh Sadat Hosseini³

1- Kharazmi University 2- Kharazmi University 3- دانشگاه خوارزمی

Keywords :

business process management،banking industry،metaheuristic algorithm،process mining،credit requirement

Abstract :

In the banking industry, process mining has been used in different case studies with promising results. Process execution efficiency can be improved through the correct allocation of resources, which also increases the revenue and satisfaction of clients in organizations. To gain access to these approaches among the resources, banks are trying to streamline their processes. For this reason, it is essential to take into consideration the prerequisites for an accurate view of the sessions. Nevertheless, few works have tended to process mining as it is connected to the banking industry. This work presents a new approach to solving resource allocation problems in the credit requirement processes that combines process mining, statistical techniques, and TOC techniques. The statistical techniques are used to build a simulation model. Moreover, to obtain more reliable results from the simulation, in this thesis, four scenarios are designed to simulate reality. By using it, the bottleneck in the process can be identified. In the end, TOC techniques have been used to improve the process and remove the bottleneck.