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Business Modelling and Analysis Group

Research within the Business Modelling and Analysis Group develops analytical and computer-based models to solve a range of complex industrial, financial, and business management problems

For this purpose, improved Management Science Methods (such as modelling, optimisation, forecasting techniques, multi-criteria analysis, and problem-structuring methods) are combined with theoretical advances in well-established subject areas such as Economics and Operational Research and the resulting models are implemented using advanced Information Technologies (such as simulation and artificial intelligence both as stand-alone techniques and in hybrid combinations).

The key objective of this work is to support strategic and tactical decision-making in organisations through the development of modelling and simulation tools for in-depth business analysis and process optimisation.

The Research Team

Current Project Titles

  • Development of Hybrid Decision Support Systems
  • Interactive Use of Simulation and AI Techniques
  • Using Multi-Criteria Decision Analysis for Optimal Dynamic Price Derivation
  • Computational Models for Modelling Reinforcement Learning and Habit Formation

Upcoming Events

  • Access to funding for businesses

    23 May 2013 - 8:30am - 10:00am Kathryn Elliott – Business Development Manager, Kingston University, Mike Ellis – Associate, South London Business and Guy Vincent - Partner, Bircham Dyson Bell LLP Rose Theatre Kingston, 24-26 High Street, Kingston, KT1 1HL, UK
  • How to disseminate research for impact

    23 May 2013 - 10:30am - 4:00pm Professor Simon Down, Director of International Institute for Management Practice; Professor Darren Dalcher; and Professor Audley Genus Kingston Business School Building, Kingston Hill Campus
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