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This article explains the core logic of demand, procurement, and production planning, highlights common gaps between them, and provides a step‑by‑step guide on using ERP (including MRP and APS) to integrate the three plans into a data‑driven closed loop for efficient supply chain management.
The article explains why warehouses can be overfilled while customers still face stockouts, analyzing false and structural overstock, flawed demand planning, weak supply chain execution, and offers practical steps such as data‑driven forecasting, ABC inventory classification, transparent collaboration, fast‑response mechanisms, and accountability to resolve the paradox.
This article explains why many companies struggle with inaccurate plans, defines supply chain planning as the dynamic coordination of demand, capacity, and inventory, and provides a step‑by‑step ERP‑based framework—including demand forecasting, capacity analysis, inventory control, and execution—to achieve reliable, data‑driven operations.