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OR58 Stream - Simulation

Stream Organiser

Angel Alejandro Juan Perez
(more information)

Email: ajuanp@uoc.edu

Stewart Robinson
(more information)

Email: s.l.robinson@lboro.ac.uk

Christine Currie
(more information)

Email: Christine.Currie@soton.ac.uk

 

 

Stream Definition

We live in big cities with multimodal transportation systems, travel around the world using a complex network of interconnected airports, buy products online that are delivered to our doors from different parts of the planet, make use of highly expensive e-health systems, keep in touch with our friends and colleagues using Internet-based services, and our lives are tied to fluctuations in global financial markets. The world is becoming more complex all the time, and most of the systems around us are quite inefficient–in terms of both monetary and environmental costs–due to the lack of tools to improve their design, reliability, and daily operations. Most of the decision-making issues associated with the aforementioned systems can be modelled as optimization problems with uncertain (stochastic) conditions. Simulation techniques allow for modelling and artificially reproducing complex systems with uncertainty conditions in a natural way. Details can thus be incorporated into these models with no mathematical sophistication and the computational time typically stays manageable. This stream aims at gathering a series of high-quality works on the application of discrete-event simulation techniques, either alone or in combination with optimization methods –e.g., simheuristics–, to real-life problems in different fields, ranging from smart cities to intelligent transportation systems and smart factories.

Covered topics:

  • Discrete-event Simulation
  • Agent-based Simulation
  • Applications of Simulation
  • Simulation in Healthcare
  • Simulation in Finance
  • Simulation in Logistics & Transportation
  • Simulation in Production
  • Simulation in Telecommunications
  • Simulation in Computer Science
  • Simheuristics
  • Simulation-Optimization
  • Simulation-based Optimization
  • Case Studies
  • Etc.

Bio

Angel Alejandro Juan Perez

Dr. Angel A. Juan is Associate Professor of Operations Research & Analytics (accredited as Full Professor) in the Computer Science, Multimedia and Telecommunication Dept. at the Open University of Catalonia (UOC). He is the coordinator of the ICSO research group at the Internet Interdisciplinary Institute (IN3), as well as a frequent Lecturer at the Autonomous University of Barcelona. Dr. Juan holds a Ph.D. in Industrial Engineering (UNED), an M.S. in Information Systems & Technology (UOC), and an M.S. and B.Sc. in Mathematics (University of Valencia). 

Stewart Robinson

Stewart Robinson is Professor of Management Science at Loughborough University, where he is Acting Dean of the School of Business and Economics. He is Immediate Past President of the O.R. Society. He holds an honours degree and also PhD in Management Science (Operational Research) both from Lancaster University. Stewart started his career as a business analyst for a shoe retailing company and then as a consultant with ISTEL (now Lanner Group). Then he moved to academia and worked with Aston Business School and Warwick Business School before joining Loughborough University. Stewart’s research focuses on simulation methods, mostly on discrete-event simulation, system dynamics and agent-based simulation. 

Christine Currie

Christine Currie is Associate Professor of Operational Research in Mathematical Sciences at the University of Southampton, UK, where she also obtained her Ph.D. She is Editor-in-Chief for the Journal of Simulation.

Christine was co-chair of the Simulation Special Interest Group in the UK Operational Research Society until September 2013. Her research interests include mathematical modelling of epidemics, Bayesian statistics, revenue management, variance reduction methods and optimization of simulation models.  Her email address is Christine.Currie@soton.ac.uk

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