Improving the efficiency of preventive maintenance planning in an industrial company

The article highlights the relevance of improving the efficiency of preventive maintenance planning in an industrial company. It reviews studies on existing planning methods, identifying their limitations and shortcomings in the context of a dynamic production process. The article provides a characterization of the challenges faced by the studied enterprise, particularly those related to the inefficiencies in maintenance planning. The task of enhancing preventive maintenance planning is set, encompassing organizational, methodological, and instrumental aspects. The article examines solutions based on the implementation of a centralized maintenance management system, dynamic planning, resource allocation optimization, and automated planning processes. A detailed description of the organizational, methodological, and instrumental aspects is provided, along with an analysis of the key characteristics of the applied methods and technologies. The obtained results demonstrate a reduction in unplanned equipment downtime, shorter repair execution times, improved failure prediction accuracy, and increased automation of maintenance processes. The discussion explores future development directions, including further integration of analytical tools and the expansion of artificial intelligence applications for failure prediction and maintenance optimization. The article concludes that a comprehensive approach to preventive maintenance planning, integrating organizational, methodological, and instrumental solutions, significantly improves maintenance efficiency, reduces unplanned downtime, and enhances equipment reliability, thereby ensuring the sustainable development of the enterprise.