Haag, Sebastian ; Bauerdick, Christoph ; Campitelli, Alessio ; Anderl, Reiner ; Abele, Eberhard ; Schebek, Liselotte (2018):
A Framework for Self-Evaluation and Increase of Resource-Efficient Production through Digitalization.
In: Procedia CIRP, 51st CIRP Conference on Manufacturing Systems, Stockholm (Sweden), Elsevier B.V., 72, pp. 850-855. ISSN 2212-8271,
DOI: 10.1016/j.procir.2018.03.304,
[Article]
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 ; Bauerdick, Christoph ; Campitelli, Alessio ; Anderl, Reiner ; Abele, Eberhard ; 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. |
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| Journal or Publication Title: | Procedia CIRP, 51st CIRP Conference on Manufacturing Systems, Stockholm (Sweden), Elsevier B.V. | ||||
| Volume of the journal: | 72 | ||||
| Uncontrolled Keywords: | Digital Transformation; Industrie 4.0; Resource Efficiency; Data Analysis | ||||
| Divisions: | 13 Department of Civil and Environmental Engineering Sciences 13 Department of Civil and Environmental Engineering Sciences > Institute IWAR 13 Department of Civil and Environmental Engineering Sciences > Institute IWAR > Material Flow Management and Resource Economy 16 Department of Mechanical Engineering 16 Department of Mechanical Engineering > Department of Computer Integrated Design (DiK) (from 01.09.2022 renamed "Product Life Cycle Management") 16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) 16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) > Sustainable Production (new name since 01.07.2018 ETA Energy Technologies and Applications in Production) |
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| Date Deposited: | 02 Jul 2018 05:35 | ||||
| DOI: | 10.1016/j.procir.2018.03.304 | ||||
| URL / URN: | https://www.sciencedirect.com/science/article/pii/S221282711... | ||||
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| Projects: | Resource Efficiency through the Digital Transformation of Industry in SME | ||||
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| Suche nach Titel in: | TUfind oder in Google | ||||
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