Lesson 1Environmental an Community Data: Dust Checkin (PM10/PM2.5), Noise Levels, Truck Traffic Counts, Complaint Logs, Water Management, an Tailings/Erosion WatchDis part a deal wid environmental an community data like dust, noise, traffic, complaints, water, an tailings watch, fi help wid compliance, impact check, an clear talk wid nearby people an Brazilian authorities.
Dust (PM10/PM2.5) an weather dataNoise map an blast impact recordsTruck traffic counts an road safety infoCommunity complaint logs an responsesWater balance, quality, an tailings checksLesson 2Drillin an Blastin Metrics: Fragmentation, Blasthole Accuracy, Powder Factor, an Pit Wall Stability SignsDis part cover drillin an blastin data fi control fragmentation, better blasthole accuracy, right powder factor, an protect pit wall stability, linkin field measures an models to loadin, haulin, an crushin work downstream.
Drill pattern design an compliance dataBlasthole depth, deviation, an collar accuracyFragmentation size spread measurePowder factor fine-tunin an cost trackinBlast vibration, flyrock, an wall damage dataLesson 3Cost an Financial Data: Unit Minin Cost Breakdown (Labor, Fuel, Maintenance, Blastin, Contractor Costs), Cost Per Ton Mined an Processed, an Cash Flow TiminDis part detail cost an financial data fi open pit work, includin unit minin cost breakdowns, cost per ton mined an processed, an cash flow timin, linkin operational drivers to budgets, forecasts, an project money checks.
Cost centers an chart a accounts designUnit cost per ton mined an processedFuel, labor, an maintenance cost driversBlastin an contractor cost trackinCash flow timin an variance analysisLesson 4Production Accountin an Samplin: Grade Control Samplin, Assay Variance, Moisture Measure, an Head Grade vs Reconciled GradeDis part explain production accountin an samplin data, coverin grade control samplin, assay variance, moisture measure, an head grade vs reconciled grade, fi ensure reliable metal accountin an support rules an audit needs.
Samplin protocols an QA/QC controlsAssay variance, bias, an precision checksMoisture content an tonnage correctionsHead grade vs reconciled grade gapsMetal accountin balance an reportinLesson 5Haulage an Cycle Time Analysis: Fleet Routes, Empty/Load Times, Fuel Consumption, Tire Wear, an Haul Distance SpreadsDis part detail haulage an cycle time data setups fi analyze fleet routes, queuein, loadin an dumpin times, fuel burn, tire wear, an haul distance spreads, supportin dispatch fine-tunin an cuttin bottlenecks an runnin costs.
Cycle time breakdown an time stampsRoute geometry an haul distance profilesFuel consumption by route an payloadTire wear, TKPH, an road condition dataQueue time, spot time, an dispatch rulesLesson 6Equipment Performance Data: Availability, Utilization, Mean Time Between Failures (MTBF), Mean Time to Repair (MTTR), an Productivity by UnitDis part focus pon equipment performance data fi trucks, shovels, drills, an support units, includin availability, utilization, MTBF, MTTR, an unit productivity, fi enable reliability checks, maintenance plannin, an performance comparin.
Time categories an delay codin standardsAvailability an utilization calculationsMTBF an MTTR data collection methodsComponent failure modes an historiesUnit productivity an benchmark dashboardsLesson 7Key Operational Metrics: Material Movement, Production Tonnage, Strip Ratio, Grade Control, an Plant Feed ReconciliationDis part define key operational metrics fi open pit copper-gold mines, includin material movement, production tonnage, strip ratio, grade control, an plant feed reconciliation, ensure consistent reportin an alignment wid mine plans an budgets.
Material movement an minin rate trackinOre, waste, an stockpile tonnage dataStrip ratio monitorin an pit phase dataGrade control model vs mined gradesMine-to-mill plant feed reconciliationLesson 8Safety an Workforce Data: Incident Reports (TRIF/TRIFR), Near Misses, Absenteeism, Overtime, Trainin Records, an Fatigue SignsDis part explain how fi structure an analyze safety an workforce data fi spot risk patterns, manage fatigue, improve trainin effectiveness, an match staffin levels wid production needs while followin Brazilian rules an company standards.
TRIF/TRIFR an severity rate trackinNear miss capture an root cause analysisAbsenteeism, overtime, an shift patternsFatigue risk signs an mitigation plansSafety trainin records an competency gaps
