{"id":23874,"date":"2025-02-11T02:55:29","date_gmt":"2025-02-11T02:55:29","guid":{"rendered":"http:\/\/141.23.68.248\/wp\/?page_id=23874"},"modified":"2025-02-11T02:58:38","modified_gmt":"2025-02-11T02:58:38","slug":"6-conclusion","status":"publish","type":"page","link":"http:\/\/141.23.68.248\/wp\/?page_id=23874","title":{"rendered":"6. Conclusion"},"content":{"rendered":"

This poject highlights the significance of integrating maintenance planning for all our systems combined to enhance efficiency, minimize operational disruptions, and promote sustainability. By analyzing interdependencies among the workshop building, educational building, facility management, and residential building, we identified key areas where maintenance strategies could be optimized to ensure seamless functionality.<\/p>\n

The implementation of integrated maintenance scheduling and multi-objective optimization has demonstrated the potential for reducing intervention days, improving resource allocation, and balancing trade-offs between cost, energy consumption, and environmental impact. Through the application of Life-Cycle Analysis (LCA) and Multi-Criteria Decision Analysis (MCDA), we have established a structured approach for evaluating the long-term implications of various maintenance strategies.<\/p>\n

The findings indicate that a coordinated maintenance framework enhances system longevity, reduces lifecycle costs, and mitigates environmental burdens. Future research could focus on refining optimization algorithms and incorporating real-time monitoring systems to further enhance maintenance efficiency. Ultimately, adopting a proactive, data-driven approach to maintenance planning can significantly improve the resilience and sustainability of educational facility infrastructure.<\/p>\n

References:<\/h3>\n