Hybrid Modeling and Simulation

MASOUD FAKHIMI is an Assistant Professor of Operational Research at Surrey Business School, University of Surrey, UK. His research interests include modeling and simulation methodologies and their applications in areas such as sustainability, Industry 4.0, supply chain management, and healthcare. He has been involved in several multidisciplinary research projects with stakeholders from industry and academia across healthcare, education, and agri-chains. He is also a Fellow of the People-Centred AI Research Centre at the University of Surrey. Additionally, he chairs the UK Operational Research Society's Simulation Special Interest Group (SIG) and the Education Committee for the Association for Computing Machinery (ACM) - Special Interest Group in Modeling and Simulation (SIGSIM). NAVONIL MUSTAFEE is a Professor of Analytics and Operations Management at the Centre for Simulation, Analytics and Modelling (CSAM), University of Exeter Business School, UK. His research focuses on simulation methodologies, including hybrid modelling & simulation and digital twins, and their application in healthcare, supply chain management, circular economy and climate change adaptation and resilience. His research has received funding from European and UK funding bodies (EU Horizon, EPSRC, MRC, NIHR), charities, and industry funding from the UK NHS. In 2022, he was awarded the UK Operational Research Society's prestigious Lyn Thomas Impact Medal award for work on reducing A&E/ED peak time demand and the NHSquicker platform. He is a Joint Editor-in-Chief of the Journal of Simulation and leads the Africa Focus initiative for the journal.

1. Introduction to Hybrid Modelling and Simulation.- 2. Hybrid Modeling and Simulation Concepts for Complex Socio-Technical Systems.- 3. Network-based Operational Modelling for Informing Inter-organisational Healthcare Simulation Conceptual Modelling.- 4. Modeling and Simulation of Software Product Lines with the HyFlow Formalism.- 5. Event Scheduling Approach for Simulating Agents with Behaviours.- 6. Hybrid M&S with Digital Twin Technology.- 7. Using the Modelling Frame to Maximize the Advantages of Hybridization During the Conceptual Modelling Process.- 8. Hybrid Simulation in Healthcare Applications.- 9. Hybrid Modelling Approach Using ML (RL) in Conjunction with Simulation.- 10. Hybrid Conceptual Modelling of Complex Dynamical Social Systems.- 11. Use of Hybrid Modelling and Simulation Method with Techniques from Wider Operations Research like ARIMA Forecasting.- 12. Conceptual Modelling for Hybrid M&S.- 13. Automated Methods for Model Building.- 14. Discrete-Event System Specification Modeling for the Development of Cyber-Physical Systems.