Multi-criteria analysis and digital solutions to improve the competitiveness of enterprises in the context of Industry 5.0

Digital transformation of industry and Industry 5.0
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Abstract:

In the context of increasing digital transformation and the transition to Industry 5.0, which represents a qualitatively new phase of industrialization, traditional approaches to ensuring the competitiveness of enterprises are losing their relevance. Industry 5.0 is characterized by a deep integration of human-machine interaction, customized production processes and increased attention to the principles of sustainable development, which requires a revision of the methods of strategic management of enterprises. The purpose of the study is to justify the application of multi-criteria analysis for the development of management decisions adapted to the conditions of Industry 5.0, aimed at ensuring the sustainable competitiveness of industrial enterprises. The methodology of the work is based on a systematic approach that includes analysis, synthesis, systematization, deduction and the hierarchy analysis method to form criteria and alternatives for hierarchical solutions, as well as to determine the vectors of their attractiveness. As a result of the research, a methodological design is proposed that allows taking into account the dynamic changes in the external environment and forming strategically verified decisions. The main results of the study are as follows: 1) the principle of forming criteria and alternatives to the hierarchy of decisions was developed to improve the level of sustainable competitiveness of enterprises in the context of Industry 5.0; the key criteria include the speed of digital transformation, innovation, efficiency of the resource base and resistance to environmental challenges; 2) the vectors of attractiveness of the formed alternatives were determined, among which financial and economic decisions turned out to be the most significant for strengthening sustainable competitiveness, and organizational, marketing and production digital decisions were identified as auxiliary, but important directions. The scientific novelty of the research consists in the development of a multi-criteria analysis system adapted to the challenges of Industry 5.0, which allows enterprises to form flexible and personalized strategies to improve competitiveness. The practical significance of the work consists in proposing tools for strategic management of enterprises, which helps to minimize the destructive impact of digital changes and strengthen competitive positions in the context of a new industrial paradigm. Future research directions include the study of methods for optimizing decisions to improve the flexibility of management processes in the Industry 5.0.