Abstract

This presents a conceptual model for materials readiness and maintenance-driven supply chain performance, emphasizing the critical integration of inventory management, maintenance planning, and operational efficiency in industrial and logistics systems. Materials readiness, defined as the availability of critical components and supplies when required, is a key determinant of production continuity, equipment reliability, and overall supply chain effectiveness. Similarly, maintenance-driven supply chain performance focuses on aligning maintenance schedules, predictive diagnostics, and spare parts availability to minimize downtime and optimize operational throughput. The proposed model synthesizes these dimensions into an integrated framework that links inventory policies, maintenance planning, and performance monitoring to achieve resilient and efficient supply chains. The conceptual model is structured around three interrelated components. The first component addresses materials readiness, encompassing demand forecasting, stock level optimization, lead-time management, and criticality assessment of spare parts. This ensures that essential materials are available to support uninterrupted operations while minimizing carrying costs. The second component focuses on maintenance-driven strategies, including preventive, predictive, and corrective maintenance planning, equipment health monitoring, and integration of maintenance data into procurement and inventory systems. By synchronizing maintenance schedules with materials availability, the framework enhances equipment uptime, reduces unplanned outages, and improves operational reliability. The third component emphasizes performance monitoring and continuous improvement, utilizing key performance indicators (KPIs) such as inventory turnover, mean time between failures (MTBF), mean time to repair (MTTR), and overall equipment effectiveness (OEE) to guide decision-making and strategic adjustments. The model offers practical implications for manufacturing firms, logistics operators, and supply chain managers seeking to balance operational efficiency, cost control, and reliability. By providing a structured approach to integrating materials management with maintenance planning, it enhances supply chain resilience, reduces downtime-related costs, and supports proactive decision-making. Additionally, the framework highlights opportunities for leveraging digital technologies, such as IoT-enabled asset monitoring and predictive analytics, to further optimize performance. Future research can empirically validate the model across different industrial contexts and explore the impact of advanced data-driven maintenance strategies on supply chain outcomes.