For Loan Processing a Fuzzy Process Mining
Process mining has been used extensively in recent years to develop the steps of the business and it is an important technique to remove waste and reduce process costs. The aims of this study indicate congestion, workflow which lived a long time, and stuff or system statistics in the banking real es...
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| Format: | Article |
| Language: | English |
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Çanakkale Onsekiz Mart University
2023-09-01
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| Series: | Journal of Advanced Research in Natural and Applied Sciences |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/en/download/article-file/2905448 |
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| author | İbrahim Ethem Yazıcı Orhan Engin |
| author_facet | İbrahim Ethem Yazıcı Orhan Engin |
| author_sort | İbrahim Ethem Yazıcı |
| collection | DOAJ |
| description | Process mining has been used extensively in recent years to develop the steps of the business and it is an important technique to remove waste and reduce process costs. The aims of this study indicate congestion, workflow which lived a long time, and stuff or system statistics in the banking real estate transaction process. The process mining practice is applied in bank business loans. In the bank process, the most used and complicated business is a bank loan transaction. The process mining implementation pattern is created with sample and flow gains of process development. Then, the new workflow is designed and the pattern is executed. In the first stage of the total loan period, 7.84 hours of earnings are obtained. Visualizations of the process have been affected with the help of fuzzy model algorithms necessary for a huge number of incidents and activities. Workflow analysis and gathering information for studies were to be effortless with the support of fuzzy models. As a result of the analysis based on the flows, the knowledge pool is created by getting the know-how such as the average duration of the process and the deviations in the users or systems. The results indicated that process mining is a significant methodology for developing bank loan transactions and enhancing their performance. |
| format | Article |
| id | doaj-art-b2a7d1881a654d3ba11f479b7370bdf2 |
| institution | Kabale University |
| issn | 2757-5195 |
| language | English |
| publishDate | 2023-09-01 |
| publisher | Çanakkale Onsekiz Mart University |
| record_format | Article |
| series | Journal of Advanced Research in Natural and Applied Sciences |
| spelling | doaj-art-b2a7d1881a654d3ba11f479b7370bdf22025-02-05T17:57:35ZengÇanakkale Onsekiz Mart UniversityJournal of Advanced Research in Natural and Applied Sciences2757-51952023-09-019351153010.28979/jarnas.1239492453For Loan Processing a Fuzzy Process Miningİbrahim Ethem Yazıcı0https://orcid.org/0000-0003-2778-934XOrhan Engin1https://orcid.org/0000-0002-7250-0317KONYA TEKNİK ÜNİVERSİTESİKonya Teknik ÜniversitesiProcess mining has been used extensively in recent years to develop the steps of the business and it is an important technique to remove waste and reduce process costs. The aims of this study indicate congestion, workflow which lived a long time, and stuff or system statistics in the banking real estate transaction process. The process mining practice is applied in bank business loans. In the bank process, the most used and complicated business is a bank loan transaction. The process mining implementation pattern is created with sample and flow gains of process development. Then, the new workflow is designed and the pattern is executed. In the first stage of the total loan period, 7.84 hours of earnings are obtained. Visualizations of the process have been affected with the help of fuzzy model algorithms necessary for a huge number of incidents and activities. Workflow analysis and gathering information for studies were to be effortless with the support of fuzzy models. As a result of the analysis based on the flows, the knowledge pool is created by getting the know-how such as the average duration of the process and the deviations in the users or systems. The results indicated that process mining is a significant methodology for developing bank loan transactions and enhancing their performance.https://dergipark.org.tr/en/download/article-file/2905448process miningbanking loan transaction processwork flow developmentprocess patternflow visualization |
| spellingShingle | İbrahim Ethem Yazıcı Orhan Engin For Loan Processing a Fuzzy Process Mining Journal of Advanced Research in Natural and Applied Sciences process mining banking loan transaction process work flow development process pattern flow visualization |
| title | For Loan Processing a Fuzzy Process Mining |
| title_full | For Loan Processing a Fuzzy Process Mining |
| title_fullStr | For Loan Processing a Fuzzy Process Mining |
| title_full_unstemmed | For Loan Processing a Fuzzy Process Mining |
| title_short | For Loan Processing a Fuzzy Process Mining |
| title_sort | for loan processing a fuzzy process mining |
| topic | process mining banking loan transaction process work flow development process pattern flow visualization |
| url | https://dergipark.org.tr/en/download/article-file/2905448 |
| work_keys_str_mv | AT ibrahimethemyazıcı forloanprocessingafuzzyprocessmining AT orhanengin forloanprocessingafuzzyprocessmining |