Odoo Quality Control Module: Setup Guide

What Is Odoo Quality?

Odoo Quality provides a structured quality management system for manufacturing and warehouse operations. It supports quality checks at receiving, production, and shipping stages. You define control points, inspection criteria, and alert thresholds — then track quality metrics across your entire supply chain.

Module Setup

Install the Quality module from Apps. It integrates with Manufacturing, Inventory, and Purchase modules. Enable quality features in Settings → Manufacturing or Settings → Inventory.

Quality Control Points

Control points define when and where quality checks are triggered automatically.

Creating Control Points

1. Quality → Configuration → Control Points
2. Define the trigger (operation type, product, or work order)
3. Set the check type and criteria
4. Assign responsible team or person

Trigger Types

Quality Check Types

# Available check types:
# - Pass/Fail — Binary pass or fail (visual inspection)
# - Measure — Numerical measurement with tolerance
# - Take a Picture — Photo documentation required
# - Text — Free-text observations
# - Worksheet — Detailed inspection form

# Measure check example:
# Parameter: Diameter
# Norm: 25.00 mm
# Tolerance: ± 0.05 mm
# Pass range: 24.95 - 25.05 mm

Quality Checks Workflow

Automatic Generation

When a control point triggers (e.g., goods received), Odoo automatically creates quality check records. Workers see pending checks on their operations.

Performing Checks

1. Open the quality check from the operation or Quality → Quality Checks
2. Record the measurement or result
3. System evaluates against criteria (auto pass/fail for measurements)
4. Pass → operation proceeds
5. Fail → quality alert is created

Quality Alerts

When a quality check fails, an alert is created for investigation:

Alert Pipeline

# Alert stages:
# New → In Progress → Corrective Action → Done
#                    ↓
#               Root Cause Analysis
#                    ↓
#             Preventive Action

Alert Information

• Product — Which product failed
• Operation — Where the failure occurred
• Team — Responsible quality team
• Priority — Urgency level
• Root cause — Categorized cause (material, machine, method, man)
• Corrective action — Steps taken to fix the issue
• Preventive action — Steps to prevent recurrence

Control Plans

Control plans group multiple quality checks for a product or process. They define the full inspection protocol:

Statistical Process Control

For measurement-type checks, Odoo tracks statistical data over time. View trends in measurement values to identify process drift before it causes failures. Set warning limits (tighter than tolerance) for early detection.

Vendor Quality Management

Track vendor quality performance:

• Incoming inspection pass/fail rates per vendor
• Quality alerts linked to vendor shipments
• Vendor scorecards based on quality metrics
• Automated vendor notifications on quality issues

Integration with Manufacturing

In manufacturing, quality checks can be embedded in work order steps:

• In-process checks between operations
• First-article inspection for new production runs
• Final inspection before goods move to finished stock
• Quality holds on work orders pending check results

Reporting

• Quality Check Analysis — Pass/fail rates by product, operation, team
• Alert Analysis — Root cause distribution, resolution time
• Vendor Quality — Incoming quality metrics by supplier
• Trend Analysis — Measurement trends over time

Best Practices

• Start with critical points — Do not inspect everything; focus on high-risk areas
• Use sampling — Full inspection of every unit is rarely necessary
• Document root causes — Build a knowledge base of failure patterns
• Review control points quarterly — Adjust based on quality data
• Train operators — Consistent measurement technique matters

DeployMonkey + Quality

DeployMonkey's AI agent sets up quality control points, inspection criteria, and alert workflows based on your industry standards and manufacturing processes.