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An Approach for an Automated Adaption of KPI Ontologies by Reusing Systems Engineering Data

  • Hendrik Walzel
  • , Milan Vathoopan
  • , Alois Zoitl
  • , Alois Knoll

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

Technological progress leads to an increased utilization of data analysis and Business Intelligence that support manufacturing management decisions. Many promising solutions utilize semantic technologies. However, the deployment and maintenance of semantic technologies especially in reconfigurable manufacturing environments require a lot of manual effort. Concepts to embed them in an automated environment, as required by Reconfigurable Manufacturing Systems, are limited. In this paper, we present an approach to reuse systems engineering data to guide an automated process that updates a production data knowledge base. Thereby, an ontology that integrates distributed operational data to compute Key Performance Indicators such as the Overall Equipment Effectiveness index can be updated during the manufacturing reconfiguration process. This reduces the effort to handle the required changes of semantic data integration systems and enables a cost-effective adaption of the Business Intelligence for Reconfigurable Manufacturing Systems.
OriginalspracheEnglisch
Titel2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Seiten1693-1696
Seitenumfang4
ISBN (elektronisch)9781728103037
DOIs
PublikationsstatusVeröffentlicht - Sep. 2019

Publikationsreihe

NameIEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Band2019-September
ISSN (Print)1946-0740
ISSN (elektronisch)1946-0759

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 9 – Industrie, Innovation und Infrastruktur
    SDG 9 – Industrie, Innovation und Infrastruktur

Wissenschaftszweige

  • 202017 Embedded Systems
  • 102022 Softwareentwicklung
  • 102025 Verteilte Systeme
  • 102029 Praktische Informatik
  • 202003 Automatisierungstechnik
  • 202041 Technische Informatik

JKU-Schwerpunkte

  • Digital Transformation

Dieses zitieren