Simulation & Optimization Research Group

Why we simulate
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.
Motivation

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.»
Vorgehen

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.»
Benefits

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.»
Projects
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.
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Simulation as planning, configuration and optimiziation tool for automating production processes.
For a plant engineering and construction company a simulation tool for the planning and configuration of a partially automated production process is created. The goal is to fully automate the semi-automated process. Using simulation, bottlenecks can be detected, visualized and eliminated by experimenting with ...
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Jukebox - Simulation of a highly dynamic transport and storage system
Simulation of a highly dynamic transport and storage system. Development and testing of the control strategies and verification of the requirement profile for the transport units in the simulator. Dynamic verification and optimization of an automatic overhead conveyor system and its integration into the production ...
Current publications
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Rüegg, Ramona; Schmid, Tamara; Hollenstein, Lukas; Müller, Nadina,
2022.
Effect of particle characteristics and foaming parameters on resulting foam quality and stability.
LWT - Food Science and Technology.
167(113859).
Available from: https://doi.org/10.1016/j.lwt.2022.113859
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Gerber, Nicole; Hollenstein, Lukas,
2022.
Wie die Digitalisierung den Food Service im Care Bereich erreicht.
Clinicum.
2022(4), pp. 79-80.
Available from: https://doi.org/10.21256/zhaw-25448
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Vorburger, Robert; Hollenstein, Lukas,
2021.
Neue Verrechnungsmodelle für die Maschinenindustrie.
Transfer.
2021(2), pp. 5.
Available from: https://doi.org/10.21256/zhaw-23748
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Gerber, Nicole; Hollenstein, Lukas; Krähenbühl, Andrea,
2021.
Was wäre wenn?! Unsichtbares sichtbar machen mit Simulationen im Verpflegungsprozess.
In:
FM Perspektiven: FM Innovationen in HC digital, Wädenswil, 26. November 2021.
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Krähenbühl, Andrea; Gerber, Nicole; Höhener, Rebecca; Hollenstein, Lukas,
2021.
Simulationen von Verpflegungsprozessen : auf Knopfdruck zur richtigen Entscheidung.
fmpro service.
2021(4), pp. 22-24.
Available from: https://doi.org/10.21256/zhaw-23063