Hybrid Simulation

Track Coordinators: Navonil Mustafee, University of Exeter; Sally Brailsford, University of Southampton; Tillal Eldabi, Brunel University

Simulation methods enable stakeholders to analyze and evaluate strategies for effective management of complex systems. It is therefore not surprising that an increasing number of studies have used techniques such as discrete-event simulation, Monte Carlo simulation, system dynamics, Markov chain Monte Carlo methods and agent-based simulation to make better and more informed decisions. However, such techniques have frequently been applied in isolation. The complexity of systems and their multi-faceted relationships may mean that the combined application of simulation methods, or hybrid simulation, will enable synergies across techniques and will provide greater insights to problem solving.

The aim of this track is therefore to solicit papers that focus on combining techniques (e.g., discrete and continuous). In particular, the papers must demonstrate the need for hybrid simulation and how this approach could be used for modeling and simulating complex systems. The hybrid simulation studies may relate to application areas such as healthcare, manufacturing, supply chain and logistics, military, disaster response, environment and sustainability.

Topics include, but are not limited to, the following:
· Methodology, e.g., synthesis of existing literature, papers presenting the conceptualization of hybrid simulation through use of frameworks
· Papers focusing on technology, e.g., use of parallel and distributed simulation for facilitating hybrid simulation
· Case studies that have applied hybrid simulation in manufacturing, logistics and supply chain, healthcare, etc.
· Papers focusing on continuous simulation/systems dynamics that incorporate discrete elements

The track coordinators also encourage papers on the combined application of simulation methods with the wider modeling techniques that are frequently used in operational research, for example, papers that have applied DES and game theory, ABS with metaheuristics, SD papers that have used soft operational research methods like problem structuring, simulation papers that have delved into statistical techniques associated with data-mining and predictive analytics.

The track will be organised into specific themes, for example:

· Methodological aspects of hybrid simulation
· Modeling human behavior using hybrid simulation
· Hybrid simulation for healthcare planning
· Hybrid simulation for planning and scheduling
· Hybrid simulation for sustainable operations management
Combined application of hybrid simulation with wider operational research techniques