Towards predictive quality in production by applying a flexible process-independent meta-model

Procedia CIRP, vol. 104, pp. 1251–1256

Abstract

Predictive Analytics is increasingly applied as a basis for decision-making in product and process optimization of manufacturing companies. In this context, Predictive Quality enables companies to make data-driven predictions of product quality, with data integration being one of the most significant challenges. This paper provides insights into exemplary applications of a flexible process-independent meta-model to integrate data for multi-step manufacturing processes. Three application use cases from different production domains are presented, demonstrating the meta-model’s applicability for Predictive Quality applications in manufacturing companies without restrictions regarding the product or manufacturing process.

Authors 7

1. Junjie Liang corresponding Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Laboratory for Machine Tools and Production Engineering, Campus-Boulevard 30, 52074 Aachen, Germany

2. Lukas Pelzer Aachen Institute for Plastics Processing (IKV)

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Institute for Plastics Processing, Seffenter Weg 201, 52074 Aachen, Germany

3. Kai Müller Aachen Institut für Textiltechnik

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Institut für Textiltechnik, Otto-Blumenthal-Straße 1, 52074 Aachen, Germany

4. Simon Cramer Aachen Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Laboratory for Machine Tools and Production Engineering, Campus-Boulevard 30, 52074 Aachen, Germany

5. Christoph Greb Aachen Institut für Textiltechnik

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Institut für Textiltechnik, Otto-Blumenthal-Straße 1, 52074 Aachen, Germany

6. Christian Hopmann Aachen Institute for Plastics Processing (IKV)

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Institute for Plastics Processing, Seffenter Weg 201, 52074 Aachen, Germany

7. Robert Heinrich Schmitt Aachen Fraunhofer Institute for Production Technology IPT Laboratory for Machine Tools and Production Engineering (WZL)

   Fraunhofer Institute for Production Technology IPT · RWTH Aachen University

   Affiliation as printed

   Fraunhofer Institute for Production Technology IPT, Steinbachstraße 17, 52074 Aachen, Germany

   RWTH Aachen University, Laboratory for Machine Tools and Production Engineering, Campus-Boulevard 30, 52074 Aachen, Germany