3D PROCESS ARCHITECTURE OF DIGITAL MANUFACTURING: PARALLELS WITH NEURAL NETWORKS
This article discusses a three-dimensional process architecture of digital manufacturing, which is an innovative approach to organizing and managing production processes based on principles similar to neural networks. Three key layers of the architecture are described: presentation, business logic, and data access, each of which plays an important role in ensuring the fl exibility, sustainability, and efficiency of the production environment. The article highlights the main advantages and disadvantages of a three-dimensional representation of the process architecture, focusing on the possibility of its application for optimizing business processes, managing risks, and increasing the level of automation. It also discusses the scientifi c novelty of the approach associated with the integration of neural networks into production systems and the practical signifi cance of the architecture for modern enterprises. In addition, the vulnerabilities and threats associated with the implementation of three-dimensional architecture are discussed, as well as the design stages necessary for the successful implementation of this approach. The conclusion of the article emphasizes that three-dimensional process architecture is not only a theoretical construct, but also acts as a practical tool for increasing the competitiveness and sustainability of enterprises in the face of constant market changes. The article is aimed at specialists in the fi eld of industrial production, project management and information technology, as well as researchers interested in the development of digital technologies in the industry.
Authors
- Elena L. Kuzina
- Vladimir N. Azarov (ORCID: https://orcid.org/0000-0003-1409-1217)
- Marina A. Kuzina (ORCID: https://orcid.org/0000-0003-3359-3378)
- Anatoly V. Chekmarev
Publication Details
- Journal
- Петербургский экономический журнал
- Published
- 2025-03-25
- DOI
- https://doi.org/10.32603/2307-5368-2025-1-6-17
- Primary Topic
- Manufacturing Process and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00