Simulation & Optimization
Carry out experiments in the simulator, rather than in reality!
Markets, company structures and processes are not only complex, but are also changing ever more rapidly. Shorter cycles require rapid redesign and adjustment of internal and external structures and dependencies.
Our applied research transfers the newest methods from theory to practice. This enables us to develop individual and innovative solutions with our partners.
We enable you to recognize potential for rationalization and quantify it more effectively. We also help you achieve better understanding and control of dynamic and complex processes. Your planning quality improves significantly as we support you in asking the correct questions.
Thanks to user-friendly simulation tools, you can easily change your system parameters whenever necessary. In this way you adopt the best possible solution to your problem efficiently and without risk.
Lukas Hollenstein Head of Center for Simulation & Optimization
We all want to
- use resources efficiently
- avoid risks
- disentangle processes
- understand dependencies
- work out quantified (and qualified) bases for decisions
«We achieve your goals innovatively and sustainably at the interface of research and practice.»
We support you by
- analyzing your complex processes and systems
- reducing intricate relationships to the essentials
- developing dynamic models
- visualizing processes
- using optimization methods
«We solve complex problems through simulation and optimization.»
Your benefits from our projects:
- analysis of your current situation and recommendations for action
- simulation models to quantitatively support your decisions
- visualizations for a better understanding of processes
- tools to support strategic and operational planning and innovative solutions
«We experiment with you in the simulator to find a predictable and economically viable reality.»
Since 1991, the research group has implemented more than 300 projects in the fields of plant and mechanical engineering, the food and chemical industries, hospital logistics and medical technology, road and air traffic, people flow, services and the military. We are proud to present some of our reference projects.
Predicitve Waste Management for SBB Train Stations
We develop a system to optimize the waste collection and disposal on SBB's train stations. The new system will use a container fill level sensor network, a novel waste accumulation forecasting algorithm, and state of the art methods for simulation-based tour-planning.
Bayes network analysis for data-driven decision support in hospital catering
Constantly rising costs in the healthcare sector require economic action without compromising the quality of care. Hospital catering is cost-intensive, but also very significant for patient satisfaction. In addition to purely economic optimization, numerous qualitative factors such as sustainability and employee ...
2021(4), pp. 22-24.
Available from: https://doi.org/10.21256/zhaw-23063
Energieforschung Stadt Zürich.
Available from: https://doi.org/10.21256/zhaw-23006
Proceedings of the 28th EurOMA Conference.
EurOMA 2021 : Managing the “new normal”: the future of Operations and Supply Chain Management in unprecedented times, Berlin, Germany (online), 5-7 July 2021.
European Operations Management Association.
Frontiers in Bioinformatics.
Available from: https://doi.org/10.3389/fbinf.2021.691865
Frontiers in Bioinformatics.
Available from: https://doi.org/10.3389/fbinf.2021.685844