DEVELOPMENT OF AN ALGORITHM FOR OPTIMIZING PRODUCTION PROCESSES AS PART OF A COMPETITIVENESS ENHANCEMENT STRATEGY
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Author(s): | Zhulyabin V. A., |
| Number of journal: | 2(75) | Date: | June 2026 |
| Annotation: | The relevance of this research topic stems from the need for industrial enterprises to adapt to the challenges of the fourth industrial revolution and intensifying global competition. Traditional approaches to production management demonstrate insufficient effectiveness in the face of highly turbulent demand and the need for product customization, which creates a gap between operational activities and the company’s strategic goals. The digital transformation of industry, the transition to smart manufacturing concepts, and the creation of digital twins open up new opportunities but simultaneously require a revision of approaches to integrating algorithmic solutions into a strategic context. The aim of this article is to substantiate and develop an algorithm for optimizing production processes integrated into a competitiveness enhancement strategy. The methodological basis of the study is system analysis, taxonomic classification methods, and simulation modeling. The main results include a classification of optimization algorithms based on their impact on competitive advantages, as well as a flowchart of a hybrid algorithm implementing task decomposition and the dynamic selection of optimization methods. This paper substantiates the need to integrate an algorithmic core into a strategic management context, thereby bridging the gap between operational optimization and long-term market positioning goals. An adapted taxonomic analysis methodology allows for the systematization of a variety of algorithms using a new, strategically oriented criterion. The theoretical significance of this paper lies in the development of a methodology for managing production systems by substantiating the connection between mathematical optimization tools and an enterprise’s strategic objectives. Its practical significance lies in the fact that the developed algorithm can serve as the basis for a production planning module in digital management systems, ensuring increased operational efficiency and adaptability to market changes. The proposed solutions can be adapted for enterprises in various industries, expanding their scope of practical application and creating a foundation for further research into the integration of optimization methods into strategic management. | ||
| Keywords: | production process optimization, optimization algorithms, enterprise competitiveness, hybrid algorithms, operational efficiency, strategic flexibility, innovation potential, strategic management, production digitalization, Industry 4.0, simulation modeling, production planning, taxonomic analysis, digital twins |
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| For citation: | Zhulyabin V. A. Development of an algorithm for optimizing production processes as part of a competitiveness enhancement strategy. Biznes. Obrazovanie. Pravo = Business. Education. Law. 2026;2(75):153—158. DOI: 10.25683/ VOLBI.2026.75.1597. |
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