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Mine Planning & Scheduling Datasheet

A Mine Planning & Scheduling Datasheet is a standardized technical document that consolidates critical quantitative and qualitative parameters, constraints, and performance metrics used in the design, optimization, and execution of short-, medium-, and long-term mine plans. It serves as a single-source reference for engineers, schedulers, and decision-makers to ensure consistency, traceability, and alignment between geological, geotechnical, operational, and economic inputs. The datasheet typically includes validated input data (e.g., block model attributes, equipment productivity rates, cost assumptions) and key scheduling outputs (e.g., production targets, fleet assignments, cycle times).

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📖 Overview

Mine Planning & Scheduling Datasheets bridge the gap between strategic resource modeling and tactical operational execution. They formalize assumptions and boundary conditions—such as orebody geometry, rock mass rating (RMR), dilution and recovery factors, equipment availability, maintenance windows, and regulatory constraints—into structured, version-controlled data tables. This enables reproducible scenario analysis, sensitivity testing, and integration with scheduling software (e.g., Deswik, MineSight, Vulcan, or GEMS). A robust datasheet adheres to data governance principles: traceable provenance (e.g., assay lab IDs, survey dates), units standardization (metric/SI), uncertainty quantification (e.g., 90% confidence intervals on grade estimates), and metadata tagging (e.g., 'validated_by', 'effective_date'). In practice, it supports both deterministic and stochastic scheduling approaches—where probabilistic inputs (e.g., grade variability, equipment failure rates) are explicitly parameterized—and facilitates auditability during feasibility studies, permitting submissions, and life-of-mine (LoM) reviews. Modern implementations increasingly incorporate interoperability standards (e.g., ISO 17123 for surveying, IFC for digital twin integration) and API-ready formats (e.g., JSON-LD, CSV with schema definitions) to enable automated data ingestion into digital mine platforms.

📑 Key Components

1 Geological Input Parameters

2 Operational Constraints & Equipment Data

3 Economic & Regulatory Assumptions

🎯 Applications

✓ Feasibility Study Input Validation
✓ Short-Term Production Schedule Generation
✓ Regulatory Compliance Reporting (e.g., SEC Form 10-K, JORC/NI 43-101)

📐 Key Formulas

Production Rate (Tons/Shift)

PR = E × C × U × H

Calculates achievable production rate where E = equipment capacity (tonnes/cycle), C = cycles per hour, U = utilization factor (0–1), and H = productive hours per shift.

Dilution Factor

DF = (Waste Tonnage Mined) / (Ore Tonnage Mined)

Quantifies unintended waste inclusion during extraction; critical for reconciling planned vs. actual grade and metal recovery.

Net Present Value (NPV) of Schedule Option

NPV = Σ [ (Revenue_t − Cost_t) / (1 + r)^t ]

Evaluates financial viability of alternative schedules over time t, using discount rate r, enabling economic ranking of planning scenarios.

🔗 Related Concepts

Block Modeling Critical Path Method (CPM) Stochastic Scheduling

📚 References

Guidelines for Mine Planning and Scheduling Best Practices

CIM Definition Standards for Mineral Resources and Reserves

ISO 21863:2022 — Mining — Mine planning and scheduling — Requirements and guidance

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