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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2008.
Days-off scheduling in large-scale multi-skill staff rostering : an integer programming solution[paper].
In:
PATAT 2008 Proceedings.
PATAT 2008, 7th International Conference on the Practice and Theory of Automated Timetabling, Montreal, Canada, 2008.
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Heitz, Christoph; Hary, Ingo; Dettling, Marcel; Ruckstuhl, Andreas,
2008.
Direct marketing of service contracts under autonomous customer dynamics.
In:
INFORMS Annual Meeting 2008, Washington, USA, 11-14 October 2008.
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Runne, Heike; Régulier, Etienne; Kuhn, Alexandre; Zala, Diana; Gokce, Ozgun; Perrin, Valérie; Sick, Beate; Aebischer, Patrick; Déglon, Nicole; Luthi-Carter, Ruth,
2008.
Journal of Neuroscience.
28(39), pp. 9723-9731.
Available from: https://doi.org/10.1523/JNEUROSCI.3044-08.2008
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Gröflin, Heinz; Klinkert, Andreas; Pham Dinh, Nguyen,
2008.
Feasible Job Insertions in the Multi-Processor-Task Job Shop.
European Journal of Operational Research.
185(3), pp. 1308-1318.
Available from: https://doi.org/10.1016/j.ejor.2005.10.077
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Sigrist, Jörg; Heitz, Christoph,
2008.
Flow-time estimation in dynamic job shops with priority scheduling using a hybrid modelling approach[paper].
In:
MITIP 2008 : proceedings 10th international conference on the modern information technology in the innovation processes of the industrial enterprises.
MITIP 2008, 10th International Conference on the Modern Information Technology in the Innovation Processes of the Industrial Enterprises, Prague, Czech Republic, 12-14 November 2008.
Pilsen:
University of West Bohemia.
pp. 155-160.
Available from: https://doi.org/10.21256/zhaw-1896