A Meta-model for Process Failure Mode and Effects Analysis (PFMEA)
Kai Hoefig, Cornel Klein, Stefan Rothbauer, Marc Zeller, Marian, Vorderer, Chee Hung Koo
TL;DR
This paper introduces a meta-model designed to automate Process Failure Mode and Effects Analysis (PFMEA), enabling faster adaptation of manufacturing processes to changing product requirements and quality measures.
Contribution
It proposes a novel meta-model that supports automation of PFMEA by differentiating product requirements, production steps, and quality measures within a unified modeling language.
Findings
Supports automation of PFMEA processes
Addresses complex quality requirements in manufacturing
Facilitates rapid adaptation to product changes
Abstract
Short product lifecycles and a high variety of products force industrial manufacturing processes to change frequently. Due to the manual approach of many quality analysis techniques, they can significantly slow down adaption processes of production systems or make production unprofitable. Therefore, automating them can be a key technology for keeping pace with market demand of the future. The methodology presented here aims at a meta-model supporting automation for PFMEA. The method differentiates product requirements, production steps and quality measures in such a way, that complex quality requirements can be addressed in any instance of a factory using a common meta-modeling language.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.