Gregory Zacharewicz


Greg (Gregory) Zacharewicz is a full professor at IMT – Mines Ales (Institut Mines Télécom) in Alès, France. He joined the LSR lab in 2018 to develop research focused on simulation. This laboratory works on the relationship between humans and complex systems while keeping its roots in the field of information science and technology. He was previously an associate professor at the University of Bordeaux (2007-2018) where he focused his research for more than 10 years on modeling, interoperability and simulation of social enterprises and organizations. More generally, his research interests include discrete event modeling (e.g. DEVS, G-DEVS), distributed simulation, distributed synchronization algorithms, HLA, FEDEP, MDA, short-lived ontologies, ERP, BPMN and workflow. In the field of health methodologies and technologies, he co-authored in 2018 with Bernard P. Zeigler, Mamadou K. Traore and Raphaël Duboz the book “Value-based Learning Healthcare Systems: Integrative modeling and simulation”. He was the program chair of Springsim 2016 in Pasadena, the vice chair of SpringSim 2017 in Virginia Beach, and the general chair of SpringSim 2018 in Baltimore. He is a member of the editorial boards of Sage Simulation Journal, JSimE, Journal of King Saud University – Computer and Information Sciences, Science Progress, and SNE.



More than ever, companies are playing on the same playing field with competitors and partners who frequently refine and adapt their offerings to customers. To stay current, companies are integrating more and more data, helped by the rise of the digital twin (DT) is now concrete. However, in this context, enterprise information systems (EIS) reach a limit in collecting and exploiting data because business management methods are not built with interoperability and global data management in mind. Therefore, we need to make data interoperable for DT to perform the necessary prescriptive and predictive analyses. This keynote can be summarized as follows: (1) it will attempt to link existing work and examine the barriers that currently prevent further improvements in DT due to current methodological and technological limitations, and (2) it will propose a conceptual framework that must be overcome to achieve interoperability between EIS in the short and long term for better integration in DT. It thus led to the use of the Model Driven Interoperability System Engineering (MDISE) framework, which capitalizes on enterprise interoperability research. (3) The study will show how the use of simulation, distributed simulation, and co-simulation can support model-based DT approaches in the journey from concepts to technical deployment. In detail, it will focus on how the Business Process Model and Notation (BPMN) standard could be an interesting solution to define a DT execution scenario within a model-driven architecture approach. Specifically, we will present how to support the execution process modeling phase of an HLA-based DT to explicitly design the desired steps of orchestration between distributed HLA federates through the interpretation of a business process diagram.