Business Challenge:
- 90% of car bodies that pass painting booth have one of 13 paint defects
- Some defects need to be heavily reworked – to the extent of re-painting the body.
- Temperature and Relative Humidity settings in the booth are sub-optimal
Solutions:
- Grant power to the user : A platform that uses ML powered models to predict outcomes, simulate scenarios, take informed actions.
- Prevention is better than cure : Identify optimal operating control ranges so that the plant operator can prevent a potentially defective body from entering the booth.
Highlights of our work
Business ‘wowed’ by
counter-intuitive findings
The exploratory data analysis revealed findings that surprised veterans who worked 20+ years at the plant
Rigorous machine learning
approach
Our rigor leaves no stone unturned. We built 22 ML models, and each model was tested using 10+ algorithms
Friendly interface
customized to user
We design the user interfaces by putting ourselves in the feet of the user
We help predict, simulate and optimize – thus granting power to
the user
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Case Studies
September 23, 2021
