Corrective Maintenance Odoo 18

Manufacturing facility managing production equipment creates reactive maintenance chaos: drill station breaking mid-shift causing 8-hour production halt because no corrective maintenance request system forcing manual paper notes technician assignments, no failure tracking showing drill used 6 months straight without issues then failing three times one week unable identifying reliability degradation patterns, MTBF calculation impossible manually counting days between failures across 50 machines preventing prediction when equipment likely failing next, emergency repairs averaging 12 hours versus industry standard 4 hours because technicians unaware equipment history previous fixes parts needed, and no warranty tracking discovering failed compressor under warranty after paying 8K repair when manufacturer would covered free—generating extended downtimes excessive repair costs missed warranty savings unpredictable failures and inability forecasting equipment replacement needs from reactive fire-fighting maintenance without systematic corrective maintenance tracking failure analysis MTBF calculation and repair history management.

Odoo 18 Corrective Maintenance enables efficient breakdown response through unscheduled maintenance requests created when equipment fails, failure documentation recording breakdown dates causes technician actions, automatic MTBF calculation computing mean time between failures across equipment lifecycle, estimated next failure prediction calculating when equipment likely failing based historical patterns, equipment repair tracking logging corrective actions parts costs technicians, maintenance stage workflow managing New Request In Progress Repaired states, vendor warranty integration linking equipment to purchase warranty dates, priority assignment flagging critical urgent failures requiring immediate attention, technician assignment routing requests to specialized maintenance staff, and product information storage maintaining vendor references model numbers serial numbers—reducing equipment downtime 60 percent through faster failure response lowering repair costs 40 percent via historical knowledge preventing repeat failures through pattern analysis enabling replacement planning through MTBF trends and maximizing warranty claims through expiration tracking achieving operational continuity cost control asset longevity through systematic corrective maintenance management.

Corrective vs Preventive Maintenance

Understanding maintenance approaches:

Key Differences:

Corrective Maintenance Benefits:

Equipment Setup

Configuring equipment for corrective maintenance:

Creating Equipment:

1. Go to Maintenance → Equipment → Machines and Tools
2. Click New
3. Fill equipment details

General Information:

Product Information Tab:

Maintenance Tab Configuration

MTBF Settings:

Auto-Calculated Fields:

Creating Corrective Maintenance Request

Request Creation:

1. Go to Maintenance → Maintenance → Maintenance Requests
2. Click New
3. Fill request form

Request Configuration:

Maintenance Request Workflow

Stage Progression:

Stage Management:

1. Request created in New Request stage
2. Technician starts work:
   • Drag request to In Progress in Kanban view or
   • Change stage dropdown in form view
3. After repair completion move to Repaired
4. System automatically updates equipment MTBF data

MTBF Calculation

Automatic failure analysis:

Calculation Formula:

MTBF = Total Operating Days / Number of Failures

MTBF = 27 days / 1 failure = 27 days

Next Failure = Latest Failure + Expected MTBF
Next Failure = 07/28/2025 + 30 days = 08/27/2025

Multiple Failures Example:

MTBF = 63 days / 3 failures = 21 days average

Viewing Updated Equipment Data

After Completing Maintenance:

1. Return to equipment record (Drill Machine)
2. Open Maintenance tab
3. View updated fields:
   • Mean Time Between Failures: Calculated from actual data
   • Latest Failure: Date of most recent corrective request
   • Estimated Next Failure: Predicted next breakdown
   • Mean Time to Repair: Average repair duration

Equipment Maintenance Smart Button:

Warranty Management

Warranty Tracking:

Priority Management

Priority Guidelines:

Best Practices

Document Detailed Failure Descriptions Enabling Faster Future Repairs: Vague description Check the Equipment equals technician investigating 2 hours identifying motor bearing failure. Detailed description Drill Motor Not Starting Burning Smell from Motor Housing equals technician immediately knowing motor failure bringing correct parts completing repair 30 minutes. Comprehensive descriptions reduce diagnostic time preventing repeat investigation.

Monitor MTBF Trends Identifying Equipment Requiring Preventive Maintenance or Replacement: Equipment showing MTBF decreasing from 90 days to 60 days to 30 days equals reliability degradation warranting preventive maintenance implementation or replacement consideration. Stable low MTBF 10 days indicates chronic unreliability requiring immediate replacement. Tracking MTBF enables data-driven maintenance strategy decisions asset lifecycle planning.

Set Realistic Expected MTBF Based on Manufacturer Specs Not Optimistic Guesses: Setting Expected MTBF 365 days when manufacturer specifies 180 days equals inaccurate predictions. Estimated Next Failure calculations misleading causing unpreparedness for breakdown. Use manufacturer specifications industry benchmarks or historical data from similar equipment. Accurate expectations enable reliable failure forecasting proper maintenance planning.

Conclusion

Odoo 18 Corrective Maintenance enables efficient breakdown response through unscheduled maintenance requests failure documentation automatic MTBF calculation estimated next failure prediction equipment repair tracking maintenance stage workflow vendor warranty integration priority assignment technician assignment and product information storage. Reduce equipment downtime through faster failure response lowering repair costs via historical knowledge preventing repeat failures through pattern analysis enabling replacement planning through MTBF trends maximizing warranty claims through expiration tracking achieving operational continuity cost control asset longevity regulatory compliance and data-driven maintenance strategy through systematic corrective maintenance management supporting informed asset lifecycle decisions and minimizing unplanned production disruptions.