Mining Process Evaluation in Discovering the Semi-Automatic Processes of the Banking Industry (the case: Bank guarantee issuance process)
Nowadays the process performance is a key success factor in the competitive environment of banking industry. Various approaches have been proposed to identify and improve processes. Process mining is a new process management approach which is supposed to discover and improve the actual process model...
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| Format: | Article |
| Language: | fas |
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Allameh Tabataba'i University Press
2019-03-01
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| Series: | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
| Subjects: | |
| Online Access: | https://jims.atu.ac.ir/article_9605_8bd5aab81b4b2d8cf50f9f00126cf2da.pdf |
| _version_ | 1827391904264749056 |
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| author | Khadije Mostafaee Dolatabad Adel Azar Abbas Moghbel Koorosh Parvizian |
| author_facet | Khadije Mostafaee Dolatabad Adel Azar Abbas Moghbel Koorosh Parvizian |
| author_sort | Khadije Mostafaee Dolatabad |
| collection | DOAJ |
| description | Nowadays the process performance is a key success factor in the competitive environment of banking industry. Various approaches have been proposed to identify and improve processes. Process mining is a new process management approach which is supposed to discover and improve the actual process model based on information technology. Despite of the theoretical development, authors have paid less attention to process mining applicability. In this paper applicability of the Fuzzy Miner algorithm of process mining to semi-automatic processes is investigated. We used PM2 methodology with some changes at the first and the fifth step to discover a semi-automated process model. At the first step manual and system data is combined and the desired detail level is determined by process owners. Then the model is discovered by means of Fuzzy Miner algorithm through ProM tool. As the manual data could affect the discovered model adversely so besides conformance checking criteria a new expert based criteria is proposed to validate the model. The expert validation criteria is equal to 87.2 percent for the discovered model of the selected process which means process mining could be applied to semi-automated processes successfully |
| first_indexed | 2024-03-08T17:22:08Z |
| format | Article |
| id | doaj.art-cc2eadacfeae46f8b4271dfb4e929251 |
| institution | Directory Open Access Journal |
| issn | 2251-8029 2476-602X |
| language | fas |
| last_indexed | 2024-03-08T17:22:08Z |
| publishDate | 2019-03-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
| spelling | doaj.art-cc2eadacfeae46f8b4271dfb4e9292512024-01-03T04:45:17ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī2251-80292476-602X2019-03-01175213710.22054/jims.2019.96059605Mining Process Evaluation in Discovering the Semi-Automatic Processes of the Banking Industry (the case: Bank guarantee issuance process)Khadije Mostafaee Dolatabad0Adel Azar1Abbas Moghbel2Koorosh Parvizian3دانش آموخته دوره دکتری تحقیق در عملیات، گروه مدیریت صنعتی ، دانشکده مدیریت و اقتصاد، دانشگاه تربیت مدرساستاد گروه مدیریت صنعتی، دانشکده مدیریت و اقتصاد، دانشگاه تربیت مدرسدانشار گروه مدیریت صنعتی، دانشکده مدیریت و اقتصاد، دانشگاه تربیت مدرساستادیار موسسه آموزش عالی بانکداریNowadays the process performance is a key success factor in the competitive environment of banking industry. Various approaches have been proposed to identify and improve processes. Process mining is a new process management approach which is supposed to discover and improve the actual process model based on information technology. Despite of the theoretical development, authors have paid less attention to process mining applicability. In this paper applicability of the Fuzzy Miner algorithm of process mining to semi-automatic processes is investigated. We used PM2 methodology with some changes at the first and the fifth step to discover a semi-automated process model. At the first step manual and system data is combined and the desired detail level is determined by process owners. Then the model is discovered by means of Fuzzy Miner algorithm through ProM tool. As the manual data could affect the discovered model adversely so besides conformance checking criteria a new expert based criteria is proposed to validate the model. The expert validation criteria is equal to 87.2 percent for the discovered model of the selected process which means process mining could be applied to semi-automated processes successfullyhttps://jims.atu.ac.ir/article_9605_8bd5aab81b4b2d8cf50f9f00126cf2da.pdfprocess miningfuzzy minerprocess model discoverybanking industry |
| spellingShingle | Khadije Mostafaee Dolatabad Adel Azar Abbas Moghbel Koorosh Parvizian Mining Process Evaluation in Discovering the Semi-Automatic Processes of the Banking Industry (the case: Bank guarantee issuance process) Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī process mining fuzzy miner process model discovery banking industry |
| title | Mining Process Evaluation in Discovering the Semi-Automatic Processes of the Banking Industry
(the case: Bank guarantee issuance process) |
| title_full | Mining Process Evaluation in Discovering the Semi-Automatic Processes of the Banking Industry
(the case: Bank guarantee issuance process) |
| title_fullStr | Mining Process Evaluation in Discovering the Semi-Automatic Processes of the Banking Industry
(the case: Bank guarantee issuance process) |
| title_full_unstemmed | Mining Process Evaluation in Discovering the Semi-Automatic Processes of the Banking Industry
(the case: Bank guarantee issuance process) |
| title_short | Mining Process Evaluation in Discovering the Semi-Automatic Processes of the Banking Industry
(the case: Bank guarantee issuance process) |
| title_sort | mining process evaluation in discovering the semi automatic processes of the banking industry the case bank guarantee issuance process |
| topic | process mining fuzzy miner process model discovery banking industry |
| url | https://jims.atu.ac.ir/article_9605_8bd5aab81b4b2d8cf50f9f00126cf2da.pdf |
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