Equipment and Categories in Odoo 18
By Braincuber Team
Published on December 29, 2025
Manufacturing facility managing 150 machines creates asset tracking disaster: CNC machine breaks down requiring 3 hours investigating which technician responsible discovering equipment assigned to departed employee 6 months ago, no equipment categorization making spare parts ordering guesswork where purchasing orders monitor stands instead of CNC bearings, warranty expiration unknown causing preventable 5K repair covered under warranty that expired unnoticed 2 weeks prior, no MTBF tracking preventing predictive maintenance where critical packaging machine fails unexpectedly halting production 8 hours costing 40K lost output, equipment cost basis missing for depreciation creating accounting chaos during audit, and no work center assignment causing production scheduling conflicts where 3 orders assigned to same machine simultaneously—generating equipment downtime maintenance confusion warranty losses preventable failures and production chaos from unorganized asset management without centralized equipment registry categorization and maintenance tracking.
Odoo 18 Equipment Management enables systematic asset tracking through equipment categories organizing machines by type function or department, comprehensive equipment records storing specifications warranty vendor maintenance history, work center integration linking equipment to production locations, maintenance team assignment designating responsible technicians per equipment, MTBF and MTTR tracking measuring reliability and repair efficiency, ownership tracking assigning to employees departments or work centers, product information recording vendor model serial number costs, warranty management alerting before expiration, and lifecycle monitoring predicting next failures based on historical data—reducing equipment downtime 35 percent through predictive maintenance eliminating warranty losses through expiration alerts improving spare parts inventory accuracy 70 percent via equipment categorization and achieving complete asset lifecycle visibility enabling data-driven replacement decisions through systematic centralized equipment management.
Equipment Features: Equipment categories, Work center linking, Maintenance team assignment, MTBF/MTTR tracking, Warranty management, Ownership tracking, Vendor information, Cost tracking, Failure prediction, Lifecycle monitoring
Equipment Categories
Organize equipment by logical groupings:
Creating Equipment Category:
- Go to Maintenance → Configuration → Equipment Categories
- Click New
- Enter Category Name: (e.g., CNC Machines, Monitors, Forklifts)
- Select Company (if multi-company)
- Assign Responsible Person: Manager overseeing this category
- Click Save
Category Examples:
Production Equipment
- CNC Machines
- Injection Molding
- Assembly Lines
- Packaging Machines
Support Equipment
- Forklifts
- Conveyor Systems
- HVAC Systems
- Compressors
Office Equipment
- Computers
- Monitors
- Printers
- Servers
Maintenance Teams
Assign specialized technicians to equipment groups:
Creating Maintenance Team:
- Go to Maintenance → Configuration → Maintenance Teams
- Click New
- Enter Team Name: (e.g., CNC Specialists, Electrical Team)
- Select Company
- Add Team Members:
- Select technicians from employee list
- Add multiple members
- Click Save
Team Specialization Example:
| Team Name | Members | Equipment Responsibility |
|---|---|---|
| CNC Specialists | John Smith, Mike Chen | CNC Machines, Lathes |
| Electrical Team | Sarah Jones | Motors, Control Panels |
| IT Support | David Brown | Computers, Servers, Network |
Work Centers
Define production locations and capacity:
Creating Work Center:
- Go to Maintenance → Equipment → Work Centers
- Click New
- Configure work center:
- Name: Assembly Line 1
- Tag: Production, Critical
- Alternative Work Centers: Backup locations
- Working Hours: Standard 40h week or shift schedule
- Hourly Cost: 50 dollars operational cost
- OEE Target: 85 percent efficiency goal
- Capacity: Units per hour
- Click Save
Work Center Equipment Tab:
- Click Equipment tab
- Click Add a Line
- Link equipment to work center:
- Equipment name
- Equipment category
- Assigned technician
- View all equipment at this work center
Creating Equipment
Equipment Creation Steps:
- Go to Maintenance → Equipment → Machines and Tools
- Click New
- Fill basic information
General Tab Fields:
Equipment Name:
Unique identifier (e.g., CNC-Mill-001, Monitor-HR-005)
Description:
Additional details about equipment purpose or specifications
Equipment Category:
Select from predefined categories (CNC Machines, Monitors, etc.)
Company:
Select company (multi-company environments)
Used By:
Ownership assignment with options:
- Employee: Assigned to specific employee (e.g., laptop to Sarah Jones)
- Department: Shared by department (e.g., HR printer)
- Work Center: Linked to production location
- Other: General use or external
Employee Field:
Appears when Used By = Employee. Select specific employee from dropdown.
Work Center:
Assign to production work center for manufacturing equipment
Maintenance Team:
Select responsible maintenance team for this equipment
Product Information Tab
Vendor and financial details:
Fields:
- Vendor: Supplier name (e.g., Haas Automation)
- Model: Equipment model number (e.g., VF-2SS)
- Serial Number: Unique identifier for warranty and service
- Vendor Reference: Purchase order or contract number
- Effective Date: When equipment entered service
- Cost: Purchase price for depreciation tracking
- Warranty Expiration Date: When warranty ends
Example Configuration:
Equipment: CNC Mill 001
- Vendor: Haas Automation
- Model: VF-2SS
- Serial: 123456789
- Vendor Ref: PO-2024-0156
- Effective: 01/15/2024
- Cost: 75,000 dollars
- Warranty Exp: 01/14/2027
Maintenance Tab Metrics
Reliability and performance tracking:
Expected MTBF (Mean Time Between Failures):
Manufacturer-specified average hours between failures. Example: 5000 hours means equipment expected to fail every 5000 hours operation under normal conditions.
Actual MTBF:
Calculated from historical failure data. System automatically computes based on recorded failures. Lower than expected MTBF indicates reliability issues requiring investigation.
Estimated Next Failure:
Predictive date when next failure anticipated based on MTBF and usage patterns. Enables proactive maintenance scheduling before failure occurs.
Latest Failure:
Date of most recent equipment failure. Helps track failure frequency and identify patterns.
MTTR (Mean Time To Repair):
Average time required to repair equipment after failure. Calculated from maintenance request durations. Lower MTTR indicates efficient repair processes and skilled technicians.
Metrics Example:
| Metric | Value | Interpretation |
|---|---|---|
| Expected MTBF | 5000 hours | Manufacturer spec |
| Actual MTBF | 3200 hours | Below expected - investigate |
| Next Failure | 06/15/2025 | Schedule preventive maintenance |
| Latest Failure | 12/10/2024 | Recent breakdown |
| MTTR | 4 hours | Acceptable repair time |
Equipment Lifecycle Management
Complete Workflow:
- Acquisition:
- Create equipment record
- Enter vendor information
- Record cost and warranty
- Assign to work center or employee
- Operation:
- Track usage hours
- Monitor performance metrics
- Schedule preventive maintenance
- Record maintenance requests
- Maintenance:
- Assign to maintenance team
- Track repair times (MTTR)
- Update failure history
- Calculate actual MTBF
- Analysis:
- Review reliability metrics
- Compare expected vs actual MTBF
- Predict next failures
- Make repair vs replace decisions
- Retirement:
- Archive equipment record
- Update asset register
- Process disposal
Best Practices
Create Granular Categories Aligned with Spare Parts Inventory: Broad category Machines equals spare parts confusion. CNC ordering 50 bearings discovering half wrong size for specific machine models. Create specific categories: CNC Haas, CNC Mazak, CNC DMG enabling parts categorization matching equipment. Spare parts accuracy increases 70 percent through equipment-parts alignment.
Set Warranty Expiration Alerts 30 Days Before: Discovering expired warranty day after 5K repair equals preventable loss. Configure automated reminders 30 days before expiration reviewing equipment for potential warranty claims. Catch issues before coverage ends saving thousands annually through proactive warranty utilization.
Use MTBF Trends to Justify Capital Equipment Replacement: Equipment with declining MTBF 5000 hours dropping to 1500 hours equals increasing downtime and repair costs. Present MTBF trend data to management showing total cost of ownership exceeds replacement. Data-driven decisions prevent emotional attachments to failing equipment achieving optimal replacement timing.
Conclusion
Odoo 18 Equipment Management enables systematic asset tracking through equipment categories maintenance team assignment work center integration MTBF MTTR tracking warranty management ownership tracking vendor information and lifecycle monitoring. Reduce equipment downtime 35 percent through predictive maintenance eliminating warranty losses through expiration alerts improving spare parts accuracy 70 percent via categorization achieving complete asset visibility enabling data-driven replacement decisions through centralized systematic equipment management supporting preventive maintenance reducing unplanned failures and optimizing total cost of ownership.
