CMC's Partner, David Collins, brings decades of experience in the automotive manufacturing industry to the table. This case study highlights a great example of success had by using statistical process control in the automotive industry, specifically in the Dodge factory paint workshop.
Having read this free case study the aim is that you can benefit from his experience and improve the performance of your paint workshop.
Key issues identified in the Dodge factory
The plant was 25% over budget in paint consumption, rework was necessary on 20% of the cars' paint job, and some consumers were still complaining about paint issues.
What was implemented to gain success
- A multi-disciplinary team was set up and ran several Designs of Experiments (a statistical technique that aims at collecting data in different parameters and then at suggesting the optimal tradeoff).
- The paint suppliers were compared and asked to reduce the variation in their product.
- The flash tunnel was redesigned for better flow.
All this allowed the team to find a satisfactory paint formula and to decide on optimal process parameters.
Positive results gained
- Rework was greatly reduced, generating 2.6 million USD of savings.
- Paint consumption was significantly reduced.
- Consumer complaints dropped.
How YOU benefit from reading this case study
- You can get some ideas on what process parameters you should manage in your paint workshop.
- You can see an application of the Designs of Experiments technique.
- You may find a way to question the quality of what your paint supplier delivers to you.
Ready to read it?
Just fill in the form on this page so we know a little about yourself, your needs, and have an email address to send it to, and then hit 'download now.'
