Lesson 1Environmental and community data: dust monitoring (PM10/PM2.5), noise levels, truck traffic counts, complaint logs, water management, and tailings/erosion observationsThis lesson covers environmental and community data collection, encompassing dust and noise monitoring, traffic counts, complaint records, water handling, and tailings assessments, to ensure regulatory compliance, evaluate impacts, and foster open dialogue with local communities and Brazilian officials.
Dust (PM10/PM2.5) and weather dataNoise mapping and blast impact recordsTruck traffic counts and road safety dataCommunity complaint logs and responsesWater balance, quality, and tailings checksLesson 2Drilling and blasting metrics: fragmentation, blasthole accuracy, powder factor, and pit wall stability indicatorsThis lesson addresses drilling and blasting metrics crucial for managing fragmentation, ensuring blasthole precision, optimising powder usage, and maintaining pit wall integrity, connecting on-site data with subsequent loading, hauling, and crushing activities.
Drill pattern design and compliance dataBlasthole depth, deviation, and collar accuracyFragmentation size distribution measurementPowder factor optimisation and cost trackingBlast vibration, flyrock, and wall damage dataLesson 3Cost and financial data: unit mining cost breakdown (labor, fuel, maintenance, blasting, contractor costs), cost per ton mined and per ton processed, and cash flow timingThis lesson details cost and financial data for open pit mining, including breakdowns of unit costs, expenses per ton mined and processed, and cash flow schedules, relating operational factors to budgeting, forecasting, and economic assessments.
Cost centres and chart of accounts designUnit cost per ton mined and processedFuel, labour, and maintenance cost driversBlasting and contractor cost trackingCash flow timing and variance analysisLesson 4Production accounting and sampling: grade control sampling, assay variance, moisture measurement, and head grade vs reconciled gradeThis lesson examines production accounting and sampling techniques, including grade control, assay variations, moisture assessments, and comparisons of head versus reconciled grades, to guarantee accurate metal tracking and meet regulatory and audit standards.
Sampling protocols and QA/QC controlsAssay variance, bias, and precision checksMoisture content and tonnage correctionsHead grade versus reconciled grade gapsMetal accounting balance and reportingLesson 5Haulage and cycle time analysis: fleet routes, empty/load times, fuel consumption, tire wear, and haul distance distributionsThis lesson outlines haulage and cycle time analysis, covering fleet paths, loading durations, fuel usage, tyre degradation, and distance patterns, to aid dispatch improvements and minimise delays and expenses.
Cycle time breakdown and time stampsRoute geometry and haul distance profilesFuel consumption by route and payloadTyre wear, TKPH, and road condition dataQueue time, spot time, and dispatch rulesLesson 6Equipment performance data: availability, utilization, mean time between failures (MTBF), mean time to repair (MTTR), and productivity by unitThis lesson focuses on equipment performance metrics for trucks, shovels, drills, and auxiliaries, covering availability, utilisation, MTBF, MTTR, and productivity rates, supporting reliability evaluations, maintenance scheduling, and benchmarking efforts.
Time categories and delay coding standardsAvailability and utilisation calculationsMTBF and MTTR data collection methodsComponent failure modes and historiesUnit productivity and benchmark dashboardsLesson 7Key operational metrics: material movement, production tonnage, strip ratio, grade control, and plant feed reconciliationThis lesson defines core operational metrics for open pit copper-gold mines, such as material shifts, tonnage outputs, strip ratios, grade management, and plant feed alignments, promoting uniform reporting and consistency with mine strategies and budgets.
Material movement and mining rate trackingOre, waste, and stockpile tonnage dataStrip ratio monitoring and pit phase dataGrade control model versus mined gradesMine-to-mill plant feed reconciliationLesson 8Safety and workforce data: incident reports (TRIF/TRIFR), near misses, absenteeism, overtime, training records, and fatigue indicatorsThis lesson describes structuring and analysing safety and workforce data to identify risks, control fatigue, enhance training, and match staffing to production needs, while adhering to Brazilian laws and company guidelines.
TRIF/TRIFR and severity rate trackingNear miss capture and root cause analysisAbsenteeism, overtime, and shift patternsFatigue risk indicators and mitigation plansSafety training records and competency gaps
