A DIGITAL TWIN FOR ROOT CAUSE ANALYSIS AND PRODUCT QUALITY MONITORING

DS 92: Proceedings of the DESIGN 2018 15th International Design Conference

Year: 2018
Editor: Marjanović D., Štorga M., Škec S., Bojčetić N., Pavković N.
Author: Detzner, Alexander; Eigner, Martin
Series: DESIGN
Section: DESIGN INFORMATION AND KNOWLEDGE
Page(s): 1547-1558
DOI number: https://doi.org/10.21278/idc.2018.0418

Abstract

Mass customization and increasing product complexity require new methods to ensure a continuously high product quality. In the case of product failures it has to be determined what distinguishes flawed products. The data generated by cybertronic products over their lifecycle offers new possibilities to find such distinctions. To manage this data for individual product instances the concept of a Digital Twin has been proposed. This paper introduces the elements of a Digital Twin for root cause analysis and product quality monitoring and suggests a data structure that enables data analytics.

Keywords: product data management (PDM), big data analysis, product lifecycle management (PLM), digital twin, quality management

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