Analysis of a Bank’s Lending Approval System using Process Mining

Kamonmas Sirisong, P. Palangsantikul, Poohridate Arpasat, S. Intarasema, Sompong Tumswadi
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引用次数: 2

Abstract

The main objective of this research is to analyze a bank’s lending approval system to improve the total efficiency of the bank’s lending process by using the Fuzzy Miner algorithm technique. The data included complex processes that were related to loan requests of the clients of the bank. the system has received a loan request. The primary motivation of the study was based on several complaints regarding handling the request cases with delays. The use of the Fuzzy Miner technique helped us recognize and identify the bottleneck areas and investigate the resources causing the delays. The study results can lead to the development of the bank’s lending systems by reducing problems that cause delays in the Bank’s operations.
基于流程挖掘的银行贷款审批系统分析
本研究的主要目的是利用模糊Miner算法技术分析银行贷款审批制度,以提高银行贷款流程的总效率。这些数据包括与银行客户的贷款请求相关的复杂流程。系统收到一个贷款请求。进行这项研究的主要动机是基于几项关于延迟处理请求案件的投诉。使用模糊挖掘技术帮助我们识别和确定瓶颈区域,并调查导致延迟的资源。研究结果可以通过减少导致世行业务延误的问题,促进世行贷款系统的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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