Process optimization through process analysis and agnostic data analysis in battery manufacturing

Initial situation

  • A battery manufacturer aiming to become the European market leader for car batteries needed support in improving its quality
  • The market environment was characterized by high quality requirements and dynamic competition
  • The company's chemical and electrical engineering processes led to relatively high scrap rates
  • The company therefore urgently needed support in analyzing and optimizing its manufacturing processes

Achievements

E2E
Process made transparent for all involved parties
0 %
Scrap rate reduced
Clear
Understanding of the most important process parameters established

Our approach

  • Conduct comprehensive recording and analysis of processes
    • Map the entire battery manufacturing process, including process parameters
    • Conduct comprehensive, investigative, and agnostic data analysis
    • Promote close collaboration between manufacturing and data experts and develop expertise in data analysis, data visualization, and manufacturing technology
  • Develop a detailed understanding of the key parameters of the battery manufacturing process that influence cell quality