Democratizing Manufacturing – Conceptualizing the Potential of Open Source Machine Tools as Drivers of Sustainable Industrial Development in Resource Constrained Contexts

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Omer, M.; Kaiser, M.; Moritz, M.; Buxbaum-Conradi, S.; Redlich, T. et al.: Democratizing Manufacturing – Conceptualizing the Potential of Open Source Machine Tools as Drivers of Sustainable Industrial Development in Resource Constrained Contexts. In: Herberger, D.; Hübner, M. (Eds.): Proceedings of the Conference on Production Systems and Logistics: CPSL 2022. Hannover : publish-Ing., 2022, S. 256-266. DOI: https://doi.org/10.15488/12154

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Kleine Vorschau
Zusammenfassung: 
Similar to open source software, the open source hardware (OSHW) movement is seen as a technology driver which can enable developing economies to leapfrog their industries. While machine tools are a subset of OSHW, they have received relatively little academic attention compared to electronic OSHW. This study applies an explorative research approach and analyses open source designs for machine tools freely available on the internet. By coining, the term open source machine tools (OSMT), it determines their applicability in low resource contexts and identifies the potential of OSMTs in democratizing manufacturing technologies. OSMTs thereby encourage diversification, entrepreneurship, and inclusive industrial development, thus contributing to the implementation of Sustainable Development Goal no. 8 which aims to promote inclusive and sustainable economic growth. Specific areas for OSMT application in low-resource contexts and factors and barriers affecting their success are singled out.
Lizenzbestimmungen: CC BY 3.0 DE
Publikationstyp: BookPart
Publikationsstatus: publishedVersion
Erstveröffentlichung: 2022
Die Publikation erscheint in Sammlung(en):Proceedings CPSL 2022
Proceedings CPSL 2022

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Pos. Land Downloads
Anzahl Proz.
1 image of flag of Germany Germany 226 48,09%
2 image of flag of United States United States 84 17,87%
3 image of flag of Austria Austria 16 3,40%
4 image of flag of China China 12 2,55%
5 image of flag of United Kingdom United Kingdom 11 2,34%
6 image of flag of France France 9 1,91%
7 image of flag of Russian Federation Russian Federation 8 1,70%
8 image of flag of Czech Republic Czech Republic 8 1,70%
9 image of flag of Taiwan Taiwan 7 1,49%
10 image of flag of Tunisia Tunisia 6 1,28%
    andere 83 17,66%

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