Automotive

Selection of a BI solution for near-realtime analytics in production

Starting point

  • Optimising the manufacturing plant requires the use of sensor measurement data from the production process in real time.
  • Departments should be able to independently perform data analyses, i.e., without relying on specialized data scientists.
  • Continuous real-time analytics and visualizations of production data are needed for employees in the manufacturing process.

Procedure

  • Recording of functional and non-functional requirements in an evaluation matrix
  • Assessment of approximately 25 products and solutions based on the criteria catalogue and creation of a shortlist
  • Detailed analysis of three shortlisted solutions and evaluation with regard to the specific use case on the production line
  • Assessment of the solution in terms of an IT operating model
  • Cost evaluation of the solution

Features/Project outcome

  • Creation of a comprehensive evaluation matrix for functional and non-functional requirements
    Implementation of a broad market screening of current products and solutions for near-realtime data analysis and visualisation
    Solution recommendation for productive use of the solution in the department

Customer benefits

  • Quality improvement in manufacturing through optimisation of plant control
  • Increased productivity and cost reduction by minimising scrap and rework efforts
  • Improvement of the continuous improvement process (CIP) through immediate feedback between production and quality analysis
  • Empowering departments to perform analyses across different KPIs and global plants or locations
Joachim Kirschner | Senior Manager / Authorised Officer