Executable Digital Process Twins: Towards the Enhancement of Process-Driven Systems
Author:
Affiliation:
1. School of Science and Technology, University of Camerino, 62032 Camerino, Italy
2. Dipartimento di Statistica, Informatica, Applicazioni, University of Florence, 50121 Florence, Italy
Abstract
Funder
PNRR MUR project
Publisher
MDPI AG
Subject
Artificial Intelligence,Computer Science Applications,Information Systems,Management Information Systems
Link
https://www.mdpi.com/2504-2289/7/3/139/pdf
Reference62 articles.
1. Weske, M. (2007). Business Process Management Architectures, Springer.
2. Dumas, M., La Rosa, M., Mendling, J., and A Reijers, H. (2013). Fundamentals of Business Process Management, Springer.
3. Business process modelling: Review and framework;Int. J. Prod. Econ.,2004
4. Corradini, F., Fedeli, A., Polini, A., and Re, B. (2022, January 12–15). Towards a Digital Twin Modelling Notation. Proceedings of the Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress, Falerna, Italy.
5. Corradini, F., Pettinari, S., Re, B., Rossi, L., and Tiezzi, F. (2022, January 12–15). An Approach to Support Digital Process Twin. Proceedings of the Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress, Falerna, Italy.
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