Anforderungen an ein Daten-Backend-System zur Unterstützung industrieller Datenanalyse-Anwendungen in digitalen Engineering-Prozessen dynamischer Wertschöpfungsnetzwerke

Proceedings of the 31st Symposium Design for X (DFX2020)

Year: 2020
Editor: Dieter Krause; Kristin Paetzold; Sandro Wartzack
Author: Eiden, Andreas; Gries, Jonas; Eickhoff, Thomas; Göbel, Jens C.
Series: DfX
Institution: Institute of Virtual Product Engineering; University of Kaiserslautern
Section: Digital Engineering
Page(s): 81-90
DOI number: https://doi.org/10.35199/dfx2020.9

Abstract

Industrial data analytics needs well-structured and linked data from different data sources. The increasing mass of data, scattered IT-structures and a lack of knowledge, especially in small and medium-sized companies (SMEs) are factors that hinder the usage of data analytics. The goal of the research project AKKORD is to build a toolkit for companies to facilitate distributed and integrated industrial data analytics inside value-adding networks. A core part of this toolkit is a data backend system, which collects and links data from different source systems together in a single meta-model. This paper describes the requirements analysis of the data backend system by conducting structured interviews and workshops.

Keywords: Digital Engineering Processes, PLM, Product Data Integration, Interoperability in Product Design, Digital Product Twin

Download

Please sign in to your account

This site uses cookies and other tracking technologies to assist with navigation and your ability to provide feedback, analyse your use of our products and services, assist with our promotional and marketing efforts, and provide content from third parties. Privacy Policy.