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

Haag, Sebastian ; Bauerdick, Christoph ; Campitelli, Alessio ; Anderl, Reiner ; Abele, Eberhard ; Schebek, Liselotte (2022):
A Framework for Self-Evaluation and Increase of Resource-Efficient Production through Digitalization. (Publisher's Version)
Darmstadt, Elsevier, 51st CIRP Conference on Manufacturing Systems, Stockholm, Sweden, 16.-18.05.2018, DOI: 10.26083/tuprints-00021429,
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Item Type: Conference or Workshop Item
Origin: Secondary publication service
Status: Publisher's Version
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.

Place of Publication: Darmstadt
Publisher: Elsevier
Classification DDC: 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften
600 Technik, Medizin, angewandte Wissenschaften > 670 Industrielle Fertigung
Divisions: 13 Department of Civil and Environmental Engineering Sciences > Institute IWAR > Material Flow Management and Resource Economy
16 Department of Mechanical Engineering > Department of Computer Integrated Design (DiK)
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) > ETA Energy Technologies and Applications in Production
Event Title: 51st CIRP Conference on Manufacturing Systems
Event Location: Stockholm, Sweden
Event Dates: 16.-18.05.2018
Date Deposited: 24 May 2022 10:01
Last Modified: 24 May 2022 10:02
DOI: 10.26083/tuprints-00021429
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-214299
Additional Information:

Erscheint auch in: Procedia CIRP, Volume 72, Pages 850-855, ISSN: 2212-8271

Keywords: Digital Transformation, Industrie 4.0, Resource Efficiency, Data Analysis

URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/21429
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