Nice! You might like these links too. "Machine Learning Meets Economics", uses manufacturing quality as an example.
http://blog.mldb.ai/blog/posts/2016/01/ml-meets-economics/ http://blog.mldb.ai/blog/posts/2016/04/ml-meets-economics2/
http://blog.mldb.ai/blog/posts/2016/01/ml-meets-economics/ http://blog.mldb.ai/blog/posts/2016/04/ml-meets-economics2/
In my case the % occurrence of the defect was very high and the False-Positive cost is also very high so my tool could provide value without being too stellar of a model.