An Integrated Decision Framework for Reliability-Centered Maintenance and Renewable Energy Coordination in Sustainable Industrial Production Systems

This research develops an Integrated Decision Framework for Reliability-Centered Maintenance and Renewable Energy Coordination (IDF-RCM-REC) to support sustainable industrial production under energy uncertainty. The study addresses the lack of unified models that jointly optimize maintenance policies and renewable energy dispatch, which currently leads to suboptimal reliability, cost, and sustainability outcomes. A multi-objective optimization framework integrating RCM-based reliability modeling, stochastic renewable energy coordination, and MCDM-guided solution selection is formulated and validated through a case study of an energy-intensive manufacturing facility. Results show a 16.6% reduction in total annual cost, 19.8% lower carbon emissions, 43.8% reduction in unplanned downtime, and a 26.1% increase in renewable energy utilization, alongside a shift toward predictive and condition-based maintenance strategies. The framework enables decision makers to evaluate trade-offs between cost, reliability, and sustainability and to select strategies aligned with organizational objectives. This work provides a practical, mathematically grounded tool for aligning maintenance and energy management in renewable-integrated industrial systems, advancing both theoretical understanding and operational practice in sustainable production.