
This Auto factory paint workshop case study demonstrates in detail how MTG's Partner, David Collins, made savings of almost $3 million per year on paint & rework in a US Auto factory in his former role as senior manager at Dodge.
Why Focus On The Automotive Industry In This Case Study?
David Collins, one of our Partners (learn about our MTG's team here), spent decades in the Auto industry in the USA, and also abroad. His positive experiences are very valuable for people in Autos today, and this case study focuses in particular on how, in his role as a senior manager for Dodge, he and his team used statistical process control in the automotive industry to create huge savings in paint and rework for Dodge, while at the same time revolutionizing their paint workshop's processes.
What takeaways can be gained here?
While especially relevant to those in the Auto industry, any manufacturing professional can read the case study to get beneficial ideas on how statistical process control can be used to stamp out quality issues leading to rework (and its associated costs).
It covers in detail:
- An inside look into how Dodge's world-class paint workshop operates
- How statistical process control was used to collect data on the consistency of different batches of paint and the effectiveness of its application in the different areas of a car
- The set of 'Designs of Experiments' (DOEs) run to ascertain the best possible paint formula
- How the Dodge team worked with paint suppliers to make sure that they improved their product in order to reach and exceed the new parameters that had been developed via the DOEs
- ...and more.
The course of action that David's team at Dodge took proved to be a great success creating US$2.6 million of savings in rework that no longer needed to take place and greatly reduced paint consumption.
Get your free copy of the case study
If you believe that this 'behind-the-scenes' look into how Dodge solved this difficult paint quality issue is interesting, just hit the button below and fill out a short form with your email address (so we can send it to you) and a few questions describing your manufacturing business and challenges.