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Calculate and analyze the true cost of equipment downtime, enabling farmers to make informed decisions about repair, replacement, and preventive maintenance investments. Use when the user asks about downtime cost calculator.
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想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
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| name | downtime-cost-calculator |
| description | Calculate and analyze the true cost of equipment downtime, enabling farmers to make informed decisions about repair, replacement, and preventive maintenance investments. Use when the user asks about downtime cost calculator. |
Calculate and analyze the true cost of equipment downtime, enabling farmers to make informed decisions about repair, replacement, and preventive maintenance investments.
Provide farmers with accurate calculations of equipment downtime costs, including direct costs (lost production, labor costs) and indirect costs (yield impacts, equipment degradation, missed opportunities). This enables data-driven decisions about repair urgency, replacement timing, and preventive maintenance investments.
Equipment downtime during critical operations is devastating but hard to quantify accurately. Farmers must make split-second decisions: repair immediately (expensive but necessary) or wait (risky). Traditional cost estimates miss critical factors: yield loss from delayed harvest, soil compaction from working wet fields, quality degradation from delayed planting, equipment damage from continued operation, and opportunity costs of missed optimal windows. This skill provides comprehensive, accurate cost calculations.
Define Equipment and Operation
Calculate Direct Costs
Calculate Indirect Costs
Calculate Opportunity Costs
Generate Analysis
Quick Downtime Assessment
Comprehensive Analysis
Historical Analysis
Maintenance Planning
Description: Calculate comprehensive downtime cost for equipment.
Parameters:
equipment (object, required): Equipment details (type, age, value)operation (object, required): Operation details (type, acreage, crop)downtime_hours (number, required): Hours of downtimeinclude_indirect (boolean, optional): Include indirect costs (default: true)include_opportunity (boolean, optional): Include opportunity costs (default: true)Returns: Detailed cost breakdown with totals
Description: Compare repair costs to downtime costs.
Parameters:
downtime_cost (number, required): Total downtime cost calculationrepair_cost (number, required): Repair cost estimaterepair_time_hours (number, required): Time required for repairreplacement_cost (number, optional): Replacement cost for comparisonReturns: Comparison with recommendations
Description: Analyze historical downtime patterns.
Parameters:
equipment_id (string, optional): Specific equipment to analyzetime_period (string, optional): Time period to analyze (season, year, all)include_indirect (boolean, optional): Include indirect costs in analysisReturns: Historical analysis with patterns and recommendations
Description: Calculate ROI of preventive maintenance investment.
Parameters:
maintenance_cost (number, required): Cost of preventive maintenanceexpected_downtime_reduction (number, required): Expected reduction in downtime hoursdowntime_cost_per_hour (number, required): Cost per hour of downtimemaintenance_frequency_months (number, optional): Frequency in monthsReturns: ROI calculation with recommendation
# Cost Defaults
DEFAULT_LABOR_COST_PER_HOUR=25.00
DEFAULT_RENTAL_COST_PER_HOUR=150.00
DEFAULT_DEPRECIATION_RATE=0.15
# Yield Impact Defaults
YIELD_LOSS_PER_DELAY_DAY_PERCENTAGE=1.5
QUALITY_DEGRADATION_PERCENTAGE=2.0
# Opportunity Cost Defaults
OPTIMAL_WINDOW_YIELD_BONUS_PERCENTAGE=5.0
MARKET_TIMING_IMPACT_PERCENTAGE=3.0
# Soil Impact Defaults
SOIL_COMPACTION_COST_PER_ACRE=25.00
# Penalty Costs
DELIVERY_PENALTY_PER_DAY=1000.00
# Database
DOWNTIME_DB_PATH=/data/downtime.db
from downtime_calculator import DowntimeCalculator
calculator = DowntimeCalculator()
# Calculate downtime cost for combine
result = calculator.calculate_downtime_cost(
equipment={
'type': 'combine',
'value': 350000,
'age': 5
},
operation={
'type': 'harvest',
'acreage': 500,
'crop': 'corn',
'yield_bushels_per_acre': 200,
'price_per_bushel': 4.50
},
downtime_hours=8
)
print(f"Total Downtime Cost: ${result['total_cost']}")
print(f" Direct Costs: ${result['direct_cost']}")
print(f" Indirect Costs: ${result['indirect_cost']}")
print(f" Opportunity Costs: ${result['opportunity_cost']}")
from downtime_calculator import DowntimeCalculator
calculator = DowntimeCalculator()
# Calculate downtime cost
downtime_cost = calculator.calculate_downtime_cost(
equipment={'type': 'combine', 'value': 350000, 'age': 5},
operation={'type': 'harvest', 'acreage': 500, 'crop': 'corn'},
downtime_hours=48
)['total_cost']
# Compare to repair
comparison = calculator.compare_repair_options(
downtime_cost=downtime_cost,
repair_cost=5000,
repair_time_hours=8,
replacement_cost=350000
)
print(f"Repair vs Replace Analysis:")
print(f" Downtime Cost (48 hours): ${downtime_cost}")
print(f" Repair Cost: $5000 (8 hours)")
print(f" Recommendation: {comparison['recommendation']}")
from downtime_calculator import DowntimeCalculator
calculator = DowntimeCalculator()
# Calculate ROI of preventive maintenance
result = calculator.calculate_maintenance_roi(
maintenance_cost=2000,
expected_downtime_reduction=24,
downtime_cost_per_hour=500,
maintenance_frequency_months=6
)
print(f"Preventive Maintenance ROI:")
print(f" Maintenance Cost: ${result['maintenance_cost']}")
print(f" Downtime Cost Avoided: ${result['downtime_cost_saved']}")
print(f" ROI: {result['roi_percentage']}%")
print(f" Recommendation: {result['recommendation']}")
Problem: Calculated costs don't match actual losses
Solutions:
Problem: Calculation missing important cost factors
Solutions:
Problem: Repair time estimate uncertain
Solutions:
Problem: Multiple factors make decision complex
Solutions: