Petrunina Anastasia Eduardovna (Senior Lecturer, Department of Experimental Physics and Innovative Technologies
Siberian Federal University, Krasnoyarsk
)
Tsygankov Nikita Sergeevich (Candidate of Technical Sciences, Associate Professor, Department of Experimental Physics and Innovative Technologies
Siberian Federal University, Krasnoyarsk
)
Moskalev Alexander Konstantinovich (Candidate of Physical and Mathematical Sciences, Associate Professor, Department of Experimental Physics and Innovative Technologies
Siberian Federal University, Krasnoyarsk
)
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The article presents the results of a study of the transformation of traditional organizational systems of enterprises to distributed network structures using the example of the additive industry. The need for organizational changes is due to the challenges that industrial enterprises currently face. The additive manufacturing industry was chosen as the object of research due to its high importance for import substitution purposes, as well as the cross-cutting nature of the technologies that affect other industries. To test the hypothesis put forward, a company from the additive industry was used to model its business processes, and simulate processes lasting 30 days. The optimization criterion in this study was the cost of producing one unit of a 3D printer. Analysis of the simulation results showed that including contract manufacturing in the organizational system for creating technological values will allow the company to optimize costs, and, as a result, the cost of a 3D printer, and reduce the production time of one batch. The implementation of the proposed transformations in the company confirmed their effectiveness.
Keywords:distributed network organizational system, sustainability, business process modeling
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Citation link:
Petrunina A. E., Tsygankov N. S., Moskalev A. K. OPTIMIZATION OF PRODUCTION PROCESSES IN ORGANIZATIONAL SYSTEMS OF ENTERPRISES IN THE ADDITIVE INDUSTRY // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2024. -№11. -С. 127-134 DOI 10.37882/2223-2966.2024.11.26 |
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