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A Framework for Self-Evaluation and Increase of Resource-Efficient Production through Digitalization

Haag, Sebastian and Bauerdick, Christoph and Campitelli, Alessio and Anderl, Reiner and Abele, Eberhard and Schebek, Liselotte :
A Framework for Self-Evaluation and Increase of Resource-Efficient Production through Digitalization.
[Online-Edition: https://www.sciencedirect.com/science/article/pii/S221282711...]
In: Procedia CIRP, 51st CIRP Conference on Manufacturing Systems, Stockholm (Sweden), Elsevier B.V., 72 pp. 850-855. ISSN 2212-8271
[Article] , (2018)

Official URL: https://www.sciencedirect.com/science/article/pii/S221282711...

Abstract

Modern sensor technology and decreasing hardware costs enable the collection of a wide range of data. Nonetheless, the collection of data itself does not generate value. The collected data must be processed and analysed. Many small and medium-sized enterprises already collect a number of data. However, there is no definite strategy, which data needs to be collected in order to acquire relevant insights into processes. The enormous potential of data analysis and the current lack of its implementation caused the development of this framework. It will assist enterprises to evaluate their own level of digitalization to assess resource use.

Item Type: Article
Erschienen: 2018
Creators: Haag, Sebastian and Bauerdick, Christoph and Campitelli, Alessio and Anderl, Reiner and Abele, Eberhard and Schebek, Liselotte
Title: A Framework for Self-Evaluation and Increase of Resource-Efficient Production through Digitalization
Language: English
Abstract:

Modern sensor technology and decreasing hardware costs enable the collection of a wide range of data. Nonetheless, the collection of data itself does not generate value. The collected data must be processed and analysed. Many small and medium-sized enterprises already collect a number of data. However, there is no definite strategy, which data needs to be collected in order to acquire relevant insights into processes. The enormous potential of data analysis and the current lack of its implementation caused the development of this framework. It will assist enterprises to evaluate their own level of digitalization to assess resource use.

Journal or Publication Title: Procedia CIRP, 51st CIRP Conference on Manufacturing Systems, Stockholm (Sweden), Elsevier B.V.
Volume: 72
Uncontrolled Keywords: Digital Transformation; Industrie 4.0; Resource Efficiency; Data Analysis
Divisions: 13 Fachbereich Bau- und Umweltingenieurwissenschaften
13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institute IWAR
13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institute IWAR > Material Flow Management and Resource Economy
16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Department of Computer Integrated Design (DiK)
16 Department of Mechanical Engineering > Institute of Production Management, Technology and Machine Tools (PTW)
16 Department of Mechanical Engineering > Institute of Production Management, Technology and Machine Tools (PTW) > Sustainable Production (new name since 01.07.2018 ETA Energy Technologies and Applications in Production)
Date Deposited: 02 Jul 2018 05:35
DOI: https://doi.org/10.1016/j.procir.2018.03.304
Official URL: https://www.sciencedirect.com/science/article/pii/S221282711...
Alternative Abstract:
Alternative abstract Language
Moderne Sensortechnologie und sinkende Hardwarekosten ermöglichen die Erfassung einer Vielzahl von Daten. Nichtsdestoweniger erzeugt die Sammlung von Daten selbst keinen Mehrwert. Die gesammelten Daten müssen verarbeitet und analysiert werden. Viele kleine und mittlere Unternehmen sammeln bereits eine Reihe von Daten. Es gibt jedoch keine definitive Strategie, welche Daten gesammelt werden müssen, um relevante Einblicke in Prozesse zu gewinnen. Das enorme Potenzial der Datenanalyse und der derzeitige Mangel an Implementierung führten zur Entwicklung dieses Werkzeugkastens. Es wird Unternehmen helfen, ihr eigenes Digitalisierungsniveau zu bewerten, um den Ressourcenverbrauch zu beurteilen.German
Projects: Resource Efficiency through the Digital Transformation of Industry in SME
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