From Data to Actionable Insights: Utilizing AI and Process Mining in Manufacturing Processes
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-70445-1_34
Reference17 articles.
1. Wil van der Aalst. Process mining: data science in action. (No Title) (2016)
2. Adesola, S., Baines, T.: Developing and evaluating a methodology for business process improvement. Bus. Process. Manag. J. 11(1), 37–46 (2005)
3. Dakic, D., Sladojevic, S., Lolic, T., Stefanovic, D.: Process mining possibilities and challenges: a case study. In 2019 IEEE 17th International Symposium on Intelligent Systems and Informatics (sisy), pp. 000161–000166. IEEE (2019)
4. Eggert, M., Dyong, J.: Applying process mining in small and medium sized it enterprises–challenges and guidelines, pp. 125–142 (2022)
5. Lecture Notes in Computer Science;F Emamjome,2019
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