Kamonmas Sirisong, P. Palangsantikul, Poohridate Arpasat, S. Intarasema, Sompong Tumswadi
{"title":"Analysis of a Bank’s Lending Approval System using Process Mining","authors":"Kamonmas Sirisong, P. Palangsantikul, Poohridate Arpasat, S. Intarasema, Sompong Tumswadi","doi":"10.1109/ICTKE52386.2021.9665411","DOIUrl":null,"url":null,"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.","PeriodicalId":215543,"journal":{"name":"2021 19th International Conference on ICT and Knowledge Engineering (ICT&KE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 19th International Conference on ICT and Knowledge Engineering (ICT&KE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTKE52386.2021.9665411","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.