====================================================================== Pit-to-Port Flow Mapping Template (Visio + PDF) ====================================================================== DEFINITION ---------------------------------------- The Pit-to-Port Flow Mapping Template is a standardized Visio-based visual modeling tool designed to document, analyze, and optimize the end-to-end material flow—from extraction at the mine pit through processing, haulage, rail/road transport, stockyard management, and final loading at the port. It integrates operational data layers (e.g., throughput, cycle times, equipment utilization) with spatial and temporal logic to support bottleneck identification, capacity planning, and logistics KPI benchmarking. The template is delivered in both editable Microsoft Visio (.vsdx) and print-ready PDF formats for cross-functional stakeholder alignment. OVERVIEW ---------------------------------------- Pit-to-Port Flow Mapping is grounded in systems engineering and industrial logistics principles, treating the mining value chain as an integrated network of interdependent nodes and flows. Each node—such as the shovel-front, haul truck fleet, primary crusher, overland conveyor, rail loop, stockyard stacker/reclaimer, and ship loader—is modeled with standardized icons, color-coded status indicators (e.g., green/yellow/red for performance against target), and embedded metadata fields (e.g., design capacity, actual throughput, % availability). The template enforces consistent time-slicing (e.g., shift-, day-, or month-level granularity) and supports dynamic 'what-if' scenario overlays—like adding a new train set or simulating crusher downtime—to quantify cascading impacts on port berth occupancy and vessel turnaround time. Practically, it serves as both a diagnostic baseline and a collaborative canvas: operations engineers use it to trace material residence time across subsystems; maintenance planners correlate flow disruptions with asset health data; and supply chain managers align internal logistics with third-party port schedules and tidal windows. Its effectiveness hinges on integration with real-time data sources (e.g., GPS telemetry, DCS batch logs, ERP movement records), enabling automated refresh of flow metrics and deviation alerts. KEY COMPONENTS ---------------------------------------- 1. Spatial Node Layout (pit, crusher, rail yard, port terminal) 2. Flow Connectors with Throughput & Cycle Time Annotations 3. Performance Layer (KPI badges: OEE, MTBF, Fill Rate, Berth Utilization) APPLICATIONS ---------------------------------------- - Bottleneck analysis and constraint propagation modeling - Integrated mine-to-port capacity validation and debottlenecking prioritization - Regulatory reporting and logistics sustainability assessment (e.g., fuel consumption per ton-km, GHG emission hotspots) KEY FORMULAS ---------------------------------------- Material Residence Time: Σ(Time_in_Node_i + Transit_Time_between_Nodes_i→j) -> Total elapsed time from ore extraction to vessel loading, used to assess inventory age and oxidation risk System Throughput Efficiency: (Actual_Tonnage_Delivered_to_Port / Theoretical_Maximum_Capacity) × 100% -> Percentage utilization of the end-to-end chain’s design capacity, highlighting underperformance zones Berth Occupancy Ratio: (Total_Vessel_Berthing_Hours / Available_Berthing_Hours_per_Period) -> Measures port interface utilization; values >0.85 indicate scheduling pressure or infrastructure constraints RELATED CONCEPTS ---------------------------------------- - Mine Logistics Network Optimization - Digital Twin for Mining Operations - Value Stream Mapping (VSM) in Heavy Industry REFERENCES ---------------------------------------- Best Practice Guidelines for Pit-to-Port Logistics Modelling – ICMM Technical Report (https://www.icmm.com/en-gb/publications/best-practice-guidelines-pit-to-port-logistics-modelling) Integrating Digital Twins in Bulk Mineral Supply Chains – SME Mining Engineering Journal (https://www.smenet.org/resources/mining-engineering-magazine/2023-issues/october-2023/integrating-digital-twins-in-bulk-mineral-supply-chains) TAGS ---------------------------------------- mining logistics, Visio template, supply chain mapping, resource optimization, bulk commodities