An autonomous system for PLM domain data exploitation

Abstract

In this article, a system for automated data analysis and data modelling is presented. It is a well-known fact that a fully automated, data independent data mining system cannot be designed. It is proposed here that data from the product lifecycle management (PLM) domain can be successfully modelled mathematically by exploiting the advantages of having a semantic model of data, relaxed time constraints and by allowing sub-optimal accuracy. A data mining procedure is followed through in detail and, for each step, it is argued how the proposed assumptions tackle the challenges of automation. Finally, an industrial use case is presented to demonstrate the value gained from such a system.

Keywords:

• data mining
• AI in manufacturing systems
• applied statistics
• lifecycle design
• PLM domain
• semantic model

Acknowledgements

The authors thank the collaborative efforts and the support from the Volkswagen Group in the different phases of this research work.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

A part of this work is conducted in the context of the FP7-FoF-ICT project LinkedDesign under Grant [GA 284613].