Future of quality assurance and maintenance

Use cases for innovative predictive maintenance technology

Evaluation and Selection

Evaluation Criteria

User Evaluation Criteria

  • Relevance to the topic – does the idea fit the requested task and subject area
  • Market attractiveness – is the solution of commercial interest for the market
  • Innovativeness – in which way the idea represents a novelty regarding the field of application?

Expert Evaluation Criteria

  • Technical feasibility – does the solution represent a realizable approach regarding technical standards
  • Economic viability – does the solution represent a realizable approach regarding economical standards

Jury

Ye Ji Park    Ye Ji Park – Scientific Assistant at Fraunhofer LBF and inventor of HAI-QC


Martin Brandt   Martin Brandt – Scientific Assistant at Fraunhofer LBF and inventor of HAI-QC


Anna-Lena Schindl   Anna-Lena Schindl – Program Lead AHEAD, Fraunhofer Venture


Dr.-Ing. Torsten Bartel   Dr.-Ing. Torsten Bartel – Group Leader at Fraunhofer LBF