Institute of Data Analysis and Process Design (IDP)
We create value from data
We use advanced data-based methods to create innovative solutions for business and industry. We address real-life challenges with scientific methods and a strong commitment to practicability. We are the leading educator and partner of choice for applied data science and business engineering in Switzerland.
Research Groups

Advanced scientific tools for solutions in the financial industry

Health and Envrionmental Analytics
Health and Environmental Analytics
Analyzing data to derive interpretable results using statistical and machine learning techniques

Maintenance, Mobility, AI & Society
Leverage AI and advanced modeling for innovations in predictive maintenance, mobility solutions, and socially aligned systems

Generating insights, creating value and fostering innovation in business processes and services

Visual Intelligence and Applications
As visual data becomes one of the most abundant and complex sources of information, Visual Intelligence is a key pillar of modern data science — enabling new ways to analyze, model, and communicate through images, video, and immersive environments
For Students
Consulting Services
News
Team IDP
Publikationen
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Wüst, Raimond Matthias; Bütikofer, Stephan; Ess, Severin; Gomez, Claudio; Steiner, Albert; Laumanns, Marco; Szabo, Jacint; et al.,
2019.
Journal of Rail Transport Planning & Management.
11, pp. 100146.
Available from: https://doi.org/10.1016/j.jrtpm.2019.100146
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Herrmann, Thomas; Sedding, Helmut,
2019.
ZHAW Industrie 4.0.
Available from: https://blog.zhaw.ch/industrie4null/2019/09/18/die-produktion-von-morgen/
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Wüst, Raimond; Bütikofer, Stephan; Ess, Severin; Gomez, Claudio; Steiner, Albert; Laumanns, Marco; Szabo, Jacint,
2019.
In:
Peterson, Anders; Joborn, Martin; Bohlin, Markus, eds.,
RailNorrköping 2019.
8th International Conference on Railway Operations Modelling and Analysis, Norrköping, Sweden, 17-20 June 2019.
Linköping:
Linköping University Electronic Press.
pp. 1140-1157.
Linköping Electronic Conference Proceedings ; 69.
Available from: https://doi.org/10.21256/zhaw-18282
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Bütikofer, Stephan; Wüst, Raimond Matthias; Ess, Severin,
2019.
Periodic timetabling with flexibility based on a mesoscopic topology.
In:
Annual International Conference of the German Operations Research Society (GOR), Dresden, Germany, 4-6 September 2019.
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Meierhofer, Jürg; West, Shaun, eds.,
2019.
Second Smart Services Summit, Zurich, Switzerland, 13 September 2019.
Thun:
Swiss Alliance for Data-Intensive Services.
.
ISBN 978-3-033-07563-4.
Available from: https://doi.org/10.21256/zhaw-26321