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Case Studies

Smart Management​


Improve and optimize the process using closed-loop feedback from digital twins.

process-optimization

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.

Project Info

  • Category:Process Optimization​
  • Client: Automotive OEM
  • Location: India
  • Completed Date: 2021

Value-Addition

  • Improved the spread and mean thickness of the coating by optimizing the process parameters such as paint flow, shaping air, and viscosity​.
  • Increased the paint quality while reducing the number of reworks and paint consumption​.​
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