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Title: DIGITAL TWINS IN THE PRODUCTION ORGANIZATION
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DIGITAL TWINS IN THE PRODUCTION ORGANIZATION
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1314-2704
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English
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19
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2.1
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This paper deals with the effective usage of digital twin for managing and optimizing production in small and medium-sized companies. Simple and effective business operation is related to the necessary digitization of documents. A set of digitized information and production-related data are the basis for the creation of a digital twin.
The use of a digital twin involves effective management, control and optimization of production within a set of several small and medium-sized companies with the same or technologically similar production. Basic (one) pair of twins is this way extended to set (more pairs) of digital twins. In a digital environment it is possible to work with the use of a digital pipe with multiple digital sources, the originals of which can be deployed in different locations and have different parameters. Verification of procedures and results can be done in the Wittness simulation program, which allows to verify both the accuracy of own simulated activities of above-mentioned pipes as well as the communication between the participating entities. The concept and design of communication interface is part of the proposed solution. The original idea of our digital twin pipe approach to optimizing of the manufacturing process is based on the CIIRC project. |
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conference
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19th International Multidisciplinary Scientific GeoConference SGEM 2019
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19th International Multidisciplinary Scientific GeoConference SGEM 2019, 30 June - 6 July, 2019
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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249-256
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30 June - 6 July, 2019
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website
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cdrom
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5355
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Optimization of production; Industry 4.0; Digital twins; Logistics; Simulation
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