Multistage Quality Control Using Machine Learning in the Automotive Industry

Product dimensional variability is a crucial factor in the quality control of complex multistage manufacturing processes, where undetected defects can easily be propagated downstream. The recent advances in information technologies and consequently the increased volume of data that has become readil...

Full description

Bibliographic Details
Main Authors: Ricardo Silva Peres, Jose Barata, Paulo Leitao, Gisela Garcia
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8737933/