Department of Mathematics

Ford Research Laboratory, Dearborn, MI

Product defect diagnosis (data mining)*

Proposer/liaison: Michael Cavaretta

The Ford Motor Company uses hazard analysis to identify part /component /assembly failure rates over time from warranty claims data. This project challenges you to diagnose the causes behind those failure rates through decision tree analysis. The new analysis is intended to reveal where / when / how failures happen from the defective hardware warranty claims. The emphasis will be on developing a robust analysis algorithm.

*This summary was prepared by Dr. Michael Cavaretta, e-Technology Research Department, Ford Research Laboratory, Ford Motor Company.