Tools for model-driven analysis for industrial processes

Industrial processes are interrelated within and across different phases along the product/service lifecycle. When performed, each process yields information. Generated information might be useful to extract valuable insights about the product and the production process in the future. One way of achieving this is by means of active analysis and utilization of process data, which requires a proper tools.

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Student Target Groups:

  • Students in ICE/Telematics and Comp. Science

Thesis Type:

  • Bachelor Thesis / Master Project

Required Prior Knowledge:

  • Background in statistics and data analytic
  • Background in semantic web technologies and web service development
  • Programming skills in Java, Python
  • Interested in cloud computing

Goals and Tasks:

  • Investigate the available tools for modeldriven analysis
  • Develop tools for model driven analysis
  • Evaluate the developed tools in the context of a use case

Duration in months

  • 6 months


  • As soon as possible