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

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
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article

3D PROCESS ARCHITECTURE OF DIGITAL MANUFACTURING: PARALLELS WITH NEURAL NETWORKS

Elena L. Kuzina, Vladimir N. Azarov, Marina A. Kuzina, Anatoly V. Chekmarev
Петербургский экономический журнал
Manufacturing Process and Optimization
article

3D PROCESS ARCHITECTURE OF DIGITAL MANUFACTURING: PARALLELS WITH NEURAL NETWORKS

Elena L. Kuzina, Vladimir N. Azarov, Marina A. Kuzina, Anatoly V. Chekmarev
article en

Abstract

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.

Петербургский экономический журнал(1)
Openalex Percentile: Top 91%
Manufacturing Process and Optimization
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