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
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Team IDP
Publikationen
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2008.
Generalized Newton type methods for nonsmooth equations in optimization and complementarity problems.
Zurich:
ETH Zurich.
Available from: https://doi.org/10.3929/ethz-a-005774093
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2008.
Globalizing a nonsmooth Newton method via nonmonotone path search.
Mathematical Methods of Operations Research.
68(2), pp. 235-256.
Available from: https://doi.org/10.1007/s00186-008-0219-8
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Heitz, Christoph; Ryder, Geoffrey; Ross, Kevin,
2008.
Knowledge management in call centers : how routing rules influence expertise and service quality[paper].
In:
13th INFORMS MSOM Conference Proceedings.
13th Manufacturing and Service Operations Management (MSOM) Conference, Maryland, 5-7 June 2008.
The Institute for Operations Research and the Management Sciences (INFORMS).
Available from: https://doi.org/10.21256/zhaw-2680
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Ryder, Geoff; Heitz, Christoph; Ross, Kevin,
2008.
Maximizing service productivity through task routing rules.
In:
INFORMS Annual Meeting 2008, The Institute for Operations Research and the Management Sciences, Washington, USA, 11-14 October 2008.
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Gustavsen, Bjørn; Heitz, Christoph,
2008.
IEEE Transactions on Components, Packaging and Manufacturing Technology.
31(4), pp. 664-672.
Available from: https://doi.org/10.1109/TADVP.2008.927810