Keynotes
Director of Industrial Liaison,
Director of the Centre for Cryptocurrency Research and Engineering
in the Department of Computing, Imperial College London, UK
Bio:
Professor of Business Analytics at Southampton Business School, the University of Southampton, UK
Member of the Centre for Operational Research, Management Science and Information Systems (CORMSIS),
Director of Internationalisation at Southampton Business School
Bio:
Stephan Onggo is a Professor of Business Analytics at Southampton Business School, the University of Southampton and a member of the Centre for Operational Research, Management Science and Information Systems (CORMSIS). Currently, he holds the position of Director of Internationalisation at Southampton Business School. He serves as an Associate Editor (Agent-Based Simulation) for the Journal of Simulation, Area Editor (Simulation) for Flexible Services and Manufacturing Journal, and a General Council member of The OR Society. His research interests lie in the areas of simulation and its interface with other Data Analytics methods. He is particularly interested in simulation modelling methodology (symbiotic simulation/digital twin, hybrid modelling, agent-based simulation, discrete-event simulation, simulation optimisation) and its applications in the management of supply chain, health care and disaster. He was the Principal Investigator of an EPSRC funded project to designing a resilient relief supply network for natural disasters in West Java Indonesia using optimisation-via-simulation (Relief-OpS) and the co-Investigator of an EPSRC funded project to improve the community resilience and sustainability through Operational Research capacity building in Southeast Asia (CREST-OR).
In recent years, there has been a significant rise in the number of works related to Digital Twin (DT) technology. A key element of a DT is the digital representation of a physical object, process, or system that decision-makers aim to evaluate or manage. One of the most commonly used forms of digital representation is a simulation model. Traditionally, simulation has been used mainly in offline contexts. However, with the advent of DT technology, it is now possible to establish an effective online connection between a simulation model and its physical counterpart, enabling simulations to be integrated into dynamic control systems for real-time decision-making. In this talk, I will explore whether various steps in simulation modeling methodology, such as conceptual modeling, input modeling, model development, validation, and output analysis, need to be adapted for DT applications.
Associate Professor and Deputy Head of the Institute of Production and Logistics
at BOKU University, Vienna, Austria
Bio:
Patrick Hirsch is an associate professor and deputy head of the Institute of Production and Logistics at the BOKU University in Vienna. He serves as study programme coordinator for the doctoral studies in social and economic sciences in his university. Patrick has (co-)authored numerous scientific journal articles and book chapters. He works as an associate editor for the Flexible Services and Manufacturing Journal and is member of the board of the Austrian Operations Research Society. He has also led several national and international research projects. Patrick is co-founder of the company ingentus decision support KG, which provides tailored decision support systems for organizations in health care and the wood-processing industry. His research interests include sustainable logistics, health care logistics, food logistics, and disaster management.
Patrick Hirsch, Yvonne Kummer
