The digital shadow and twin feasibility representation model for the radically new products competitiveness

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The study examines the use of multidimensional scenario modeling (MSM) for the development and production of fundamentally new products, taking into account the variability of consumer requirements and market conditions. The focus is on the integration of end-to-end digital technologies, an approach to creating a dual digital product, and product lifecycle management based on IT systems. The purpose of the research is to develop a new methodology for the formation of the technical and economic appearance of a product based on end-to-end digital technologies and digital twins, which makes it possible to model life cycle scenarios and choose optimal solutions with minimal costs. The study uses methods of literature analysis, benchmarking and comparative evaluation of statistical data to study the competitiveness of radically new products using the concepts of digital twin and digital shadow. Special attention is paid to the analysis of the regulatory framework and classes of digital twin models, which makes it possible to assess the technological feasibility, market potential and cost-effectiveness of innovative solutions. An integrated approach provides a systematization of the factors influencing the positioning of new products in the context of digital transformation. The features, including economic ones, of digital product models, as well as the regulatory framework of the subject area are considered. The classification of types of models and types of digital analogues of the product is given. The problem of the research lies in the fact that the traditional parametric approach to determining the technical and economic characteristics of new products, based on the linear improvement of analogues, is outdated in the context of digitalization and does not provide the creation of radically innovative solutions. The authors analyze the advantages of how the use of MSM contributes to the optimal choice of materials, technologies and components, as well as how it helps to achieve a balance between cost, quality and functionality of products. Special attention is paid to the possibilities of preliminary testing and adaptation of the product being developed in accordance with the changing requirements and preferences of consumers in order to increase competitive advantages. The results of the research are the concept of designing radically new products initiated either by the customer or by the manufacturer seeking to strengthen competitive positions; the concept of the technical and economic appearance of the product, formed on the basis of market analysis and including functional, component and economic models; the approach of using digital twins, allowing to optimize the product lifecycle through multivariate modeling, reducing costs and speeding up development; the key factors of the competitiveness of such a product have also been identified, which are determined by the integration of the image and the digital twin, taking into account global trends and customer requirements. The economic effects of using digital product models at different stages of the life cycle are described. A product competitiveness model is proposed that takes into account the level of digital maturity and the intensity of use of digital representations. A functional efficiency model is proposed that takes into account the effect of digital product modeling and its impact on economic efficiency. The study offers an economic and mathematical toolkit for calculating the competitiveness of radically new products through the integration of DTP and multivariate analysis, which expands the theory of innovation management in the digital economy.

Sobre autores

Vladimir Shiboldenkov

Bauman Moscow State Technical University

Autor responsável pela correspondência
Email: vshiboldenkov@bmstu.ru
ORCID ID: 0000-0001-6436-8662
Código SPIN: 9107-3319

PhD in Economics Associate Professor, Associate Professor of the Department of Business Informatics

5 2nd Baumanskaya st., bldg. 1, Moscow, 105005, Russian Federation

Sergey Nazyuta

RUDN University

Email: nazyuta_sv@pfur.ru
ORCID ID: 0000-0003-1921-8002
Código SPIN: 6817-2477

Candidate of Economics, the first vice-rector is the Vice-Rector for Economic Activity

6 Miklukho-Maklaya st., Moscow, 117918, Russian Federation

Alexander Chursin

RUDN University

Email: cursinaleksandr76@gmail.com
ORCID ID: 0000-0003-0697-5207
Código SPIN: 9123-8913

Doctor of Economics, Professor, Head of the Department of Applied Economics at the Higher School of Industrial Policy and Entrepreneurship

6 Miklukho-Maklaya st., Moscow, 117918, Russian Federation

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