Industrial enterprises are essential to a country’s economy, providing diverse, high-quality goods, technologies, and services. To remain sustainable and efficient amidst rising production demands and stiff competition, these enterprises must adopt innovative management techniques. Each enterprise has a mission, resources, technologies, and strategies to achieve its varied goals, with dominant economic goals like income, profitability, and market share interlinked and affecting one another. A competitive enterprise’s overall goal should align its growth with market trends while proactively managing its operations.
Proactive management involves either passively aligning with market trends or actively influencing them by introducing new products and services. The mismatch between an enterprise’s growth and market trends can flag potential problems or crises, underscoring proactive management’s role in preempting issues. This strategy, though simple, is vital for an enterprise’s survival, sustainable operation, and efficient growth in a fiercely competitive environment with escalating production of quality goods and services.
Therefore, an urgent issue is developing an information platform based on appropriate mathematical models and methods that facilitate the implementation of proactive management of industrial enterprises and create the basis for predicting possible problems in production and taking measures to prevent them.
Integrating advanced technologies like Artificial Intelligence, Big Data Analytics, and the Internet of Things enhances the proactive management system’s capability. These technologies enable real-time data collection and analysis, providing enterprises with critical insights and allowing them to anticipate market shifts and operational challenges. By leveraging these tools, enterprises can make more informed decisions, streamline their processes, and achieve higher operational resilience and flexibility.
Industry 4.0 and 5.0 can significantly support Ukrainian manufacturing during the war. Thanks to automation and robotics, it is possible to maintain production even in the face of limited access to labour or hazardous working conditions. Artificial intelligence and advanced analytical systems can help optimise logistics, inventory management, and production processes despite disruptions caused by military actions.
In conclusion, proactive management is not just a strategic choice but a need for industrial enterprises aiming to thrive in today’s fast-paced and highly competitive market. By incorporating cutting-edge technologies and adopting a forward-thinking approach, enterprises can ensure long-term sustainability, improved performance, and a better competitive edge.
Keywords: proactive management, information modelling, industrial enterprise, artificial intelligence, Industry 4.0 / 5.0.
