Port Interface KPI Dashboard (Power BI Template)

The Port Interface KPI Dashboard serves as a critical analytics layer in integrated mine-to-port supply chains, where delays or bottlenecks at the port interface directly impact mine production planning, inventory costs, and contractual penalties (e.g., demurrage). It operationalizes the concept of 'interface visibility'—bridging traditionally siloed systems (e.g., mine planning software like MinePlan or Deswik, port TOS like Navis N4 or Tideworks, and transport management systems) through standardized data connectors (SQL, REST APIs, or Azure Data Lake ingestion) and semantic modeling using Power BI’s data modeling engine. The dashboard applies time-based aggregation (e.g., hourly berth occupancy, daily vessel dwell, weekly stockpile velocity) and contextual filtering (vessel type, commodity grade, charterer, weather-impacted periods) to support root-cause analysis and predictive readiness. Its design adheres to lean port logistics principles—including the 'First-In-First-Out Berth Allocation' heuristic and 'Minimum Vessel Dwell Time' optimization targets—and incorporates configurable alert thresholds aligned with commercial SLAs (e.g., ≤12-hour average discharge-to-rail transfer time for iron ore exports). Additionally, the template includes built-in data quality checks (e.g., null berth assignment flags, mismatched cargo weight reconciliation) and version-controlled DAX measures to ensure auditability and compliance with ISO 55000 (asset management) and IMO’s EEXI reporting requirements.