Process Mining in Manufacturing: A Literature Review
Process mining in manufacturing is a newly expanding field of research in the application of data mining and machine learning techniques and the focus of business processes. Although it is an exciting subject of the recent past and business processes, sufficient research has not been done. Decision...
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| Format: | Article |
| Language: | English |
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Sakarya University
2022-12-01
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| Series: | Sakarya University Journal of Computer and Information Sciences |
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| Online Access: | https://dergipark.org.tr/tr/download/article-file/2501134 |
| _version_ | 1797351831121166336 |
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| author | Yüksel Yurtay |
| author_facet | Yüksel Yurtay |
| author_sort | Yüksel Yurtay |
| collection | DOAJ |
| description | Process mining in manufacturing is a newly expanding field of research in the application of data mining and machine learning techniques and the focus of business processes. Although it is an exciting subject of the recent past and business processes, sufficient research has not been done. Decision support systems such as enterprise resource planning, customer relationship management, and management information systems store the most valuable resource data of process details and event logs. In the advanced information systems of tomorrow, the process management, analysis, and modelling functions of modern enterprises will take their place as a necessity. As a requirement, the fundamental purpose of process mining in production is to refine data from event logs, automatically create process models, compare models with event logs, and improve and make development continuous. Our work is to contribute to application and research studies by drawing attention to process mining in the context of production. It is based on the literature review and primary stages of business process mining publications in the last decade with a production focus. An overview is discussed as a roadmap for future research with meaningful results. |
| first_indexed | 2024-03-08T13:06:09Z |
| format | Article |
| id | doaj.art-669b1d1573354259825e0159e285faad |
| institution | Directory Open Access Journal |
| issn | 2636-8129 |
| language | English |
| last_indexed | 2024-03-08T13:06:09Z |
| publishDate | 2022-12-01 |
| publisher | Sakarya University |
| record_format | Article |
| series | Sakarya University Journal of Computer and Information Sciences |
| spelling | doaj.art-669b1d1573354259825e0159e285faad2024-01-18T16:44:35ZengSakarya UniversitySakarya University Journal of Computer and Information Sciences2636-81292022-12-015334135510.35377/saucis...113429328Process Mining in Manufacturing: A Literature ReviewYüksel Yurtay0SAKARYA ÜNİVERSİTESİ, BİLGİSAYAR VE BİLİŞİM BİLİMLERİ FAKÜLTESİ, BİLGİSAYAR MÜHENDİSLİĞİ BÖLÜMÜProcess mining in manufacturing is a newly expanding field of research in the application of data mining and machine learning techniques and the focus of business processes. Although it is an exciting subject of the recent past and business processes, sufficient research has not been done. Decision support systems such as enterprise resource planning, customer relationship management, and management information systems store the most valuable resource data of process details and event logs. In the advanced information systems of tomorrow, the process management, analysis, and modelling functions of modern enterprises will take their place as a necessity. As a requirement, the fundamental purpose of process mining in production is to refine data from event logs, automatically create process models, compare models with event logs, and improve and make development continuous. Our work is to contribute to application and research studies by drawing attention to process mining in the context of production. It is based on the literature review and primary stages of business process mining publications in the last decade with a production focus. An overview is discussed as a roadmap for future research with meaningful results.https://dergipark.org.tr/tr/download/article-file/2501134production process miningbusiness process miningbusiness process managementliterature review |
| spellingShingle | Yüksel Yurtay Process Mining in Manufacturing: A Literature Review Sakarya University Journal of Computer and Information Sciences production process mining business process mining business process management literature review |
| title | Process Mining in Manufacturing: A Literature Review |
| title_full | Process Mining in Manufacturing: A Literature Review |
| title_fullStr | Process Mining in Manufacturing: A Literature Review |
| title_full_unstemmed | Process Mining in Manufacturing: A Literature Review |
| title_short | Process Mining in Manufacturing: A Literature Review |
| title_sort | process mining in manufacturing a literature review |
| topic | production process mining business process mining business process management literature review |
| url | https://dergipark.org.tr/tr/download/article-file/2501134 |
| work_keys_str_mv | AT yukselyurtay processmininginmanufacturingaliteraturereview |