Smart Management​

Smart Management

Challenge

An automotive manufacturer wanted to improve the efficiency of the painting process as a part of continuous improvement.

Solution

• Proposed Mechanistic Data Science approach to forecast and optimize the process parameters.
• Collected historic and live data of every quality incident and correlated them with the predefined KPIs.
• Integrated the mathematical model for every process stage with our analytics platform and recommended improved process parameters.