OPTIMisation using Intelligent Simulation Tools
The overall aim of this proposed multi-discipline (industrial engineering and computer science) project is to leverage the effectiveness of the Swedish industrial and service sectors, by introducing the state-of-the-art simulation technology, namely simulation-based intelligent optimisation, to their system design and daily operations. The underlying mechanism is to develop a software environment, called OPTIMISE (OPTIMisation, Intelligence and Simulation Environment), which tightly integrates DES systems with AI-based optimisation tools and Web services that are integrated with the companies’ information systems for valid simulation and optimisation runs.
Short project facts about OPTIMIST-RRT
Total project budget: ~9 MSEK (funding from Knowledge Foundation 3,3MSEK)
Project period: April 2008 - March 2011
Project leader: Amos Ng
Industrial partners: Volvo Cars Engine (Skövde) and Volvo Technology (Gothenburg)
Project leader
- Amos Ng
- Professor of Automation Engineering
- School of Engineering Science
- amos.ng@his.se
- Phone: 0500-448541