track provides a context for academic and industrial scientists to
address, explore and exchange cutting-edge research and results in the
modelling and simulation of industrial, business and service systems and
processes. With an increasingly global view of applied research, the aims
of the track are to promote the integration and enhance the
transferability of techniques and knowledge among these complementary
areas of research.
This track will be
University of Kingston,
Ricardo Goncalves, Universita Nova of Lisbon
Serhiy Kovela, University of Kingston
Topics include (but are
not limited to) new developments in the areas of:
Modelling and Simulation of Industrial Systems and Processes;
Planning, Scheduling and Control of Industrial Processes, Resources
and Services; Advanced Modelling and Simulation Techniques for
Distributed Systems and Operations, Supply and Service Chain Planning
and Management; Intelligent Decision Support Systems and Optimisation
Tools for Industrial Design, Layout, Maintenance and Operations.
Simulation Tools and Modelling Techniques for Operations Research,
Project Management and Control, Risk Management, Workflow Management,
Management of Technological and Organisational Change, Concurrent
Engineering, and Re-Engineering.
Modelling and Simulation of Business Processes in the Private and
Public Sectors; Knowledge Discovery and AI techniques for Business
Intelligence; Knowledge Management Systems for Resources and Customer
Relations Management; e-Business and Information Systems for the
Modelling and Simulation of the Service Value Chain, Service Chain
Planning and Management Tools; Information Systems for Business
Services, Financial Services, Public Services, Government
Organisations, and Municipalities.