FEATURES OF PRODUCTION PROCESS MANAGEMENT BASED ON DIGITAL DATA

Abstract

The article examines the challenges of managing production processes in enterprises through the systematic use of digital data across all stages of the management cycle. The analysis reveals that traditional planning and regulatory approaches to production management lack the necessary flexibility and responsiveness to effectively address the dynamics of an ever-changing market environment. The study emphasizes the strategic importance of moving beyond the mere accumulation of data toward its comprehensive analysis, meaningful interpretation, and full-scale integration into production management practices. The paper outlines the principal directions for applying digital technologies in the planning, organization, control, and analytical evaluation of production operations. Particular attention is given to the potential of real-time monitoring systems, automated quality assurance, intelligent resource management, and the deployment of forecasting and simulation tools. The research also considers both the advantages and the constraints associated with incorporating digital data into managerial decision-making processes. The findings indicate that the adoption of digital technologies contributes significantly to enhancing production efficiency, reducing operational costs, and fostering the development of adaptive and data-driven management models. Nonetheless, these advancements are accompanied by considerable financial expenditures, heightened cybersecurity risks, and an increasing demand for a highly skilled digital workforce. The study concludes that the digitalization of production process management serves as a critical determinant of enterprise competitiveness, while simultaneously calling for the continuous refinement of theoretical approaches and the development of practical mechanisms to ensure its effective implementation. Furthermore, the research highlights the necessity of developing integrated digital ecosystems that enable seamless data exchange between functional subsystems of enterprises. The formation of such ecosystems facilitates data-driven decision-making, strengthens strategic flexibility, and supports the transition toward intelligent, self-regulating production environments. Future research should therefore focus on designing conceptual frameworks for digital transformation capable of ensuring both technological resilience and sustainable organizational growth.