HMD Praxis der Wirtschaftsinformatik

, Volume 55, Issue 1, pp 120–132 | Cite as

Energie- und Maschinendaten im Verbund: Unterstützung von Analysen auf Anlagenebene durch Energieinformationssysteme industrieller Hersteller

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Zusammenfassung

Aufgrund des zunehmenden Energiebewusstseins industrieller Hersteller erhält das Forschungsgebiet der Energieinformationssysteme mehr Aufmerksamkeit. Die aktuelle Forschungslücke im Bereich der Verbindung von Energie- und Maschinendaten wird zu Beginn aufgezeigt. Im nächsten Schritt wird diese Lücke durch ein wiederverwendbares Informationsmodell für die Verbindung von Energie- und Maschinendaten, entwickelt im Rahmen der Design Science Research Methodology, adressiert. Weiterhin wird eine Sammlung von unterstützenden Analysen in einer konkreten Fallstudie präsentiert. Beide Ergebnisse können von Praktikern als Grundlage zur Bewältigung der Kernherausforderung der Steigerung der Energieeffizienz genutzt werden. Aus wissenschaftlicher Sicht legen diese Ergebnisse eine erste Grundlage für die Extraktion von Wissen, beispielsweise in Form von Designprinzipien. Diese können in künftiger Forschung das langfristige Ziel eines konfigurierbaren Informationsmodells ermöglichen.

Schlüsselwörter

Energieinformationssystem Industrielle Hersteller Energiedaten Maschinendaten 

Linking Energy and Machine Data in Industrial Manufacturing: Support for Analyses at the Equipment-Level by Energy Information Systems

Abstract

Due to the increasing energy-awareness of industrial manufacturers, the research area of energy information systems is receiving more attention. The current research gap in the connection of energy and machine data in industrial energy information systems is presented at the beginning. In the next step, this gap is addressed by presenting a reusable information model for the connection of energy and machine data, developed within the framework of the Design Science Research Methodology. Furthermore, a collection of supporting analyzes is presented in a case study. Both results can be used by practitioners as a basis for addressing the key challenge of increasing the energy efficiency. From a scientific point of view, these results provide an initial basis for the extraction of knowledge, e. g. in the form of design principles, which in future research might enable the long-term goal of a configurable information model.

Keywords

Energy information system Industrial manufacturer Energy data Machine data 
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Notes

Danksagung

Diese Arbeit wurde durch die Europäische Union und den Europäischen Fonds für regionale Entwicklung über die Sächsische Aufbaubank finanziert (Antragsnummer 100209003).

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Copyright information

© Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2017

Authors and Affiliations

  1. 1.Fakultät Wirtschaftswissenschaften, Lehrstuhl für Business Intelligence ResearchTechnische Universität DresdenDresdenDeutschland

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