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How to Configure MRP Planning in Odoo 19

DeployMonkey Team · March 24, 2026 9 min read

Overview

MRP planning in Odoo 19 coordinates material requirements and production scheduling. It uses lead times, reorder rules, and demand signals from sales orders to plan when to start manufacturing and when to procure components. Proper planning configuration prevents both stockouts and excess inventory.

Prerequisites

  • Odoo 19 with Manufacturing module installed
  • BOMs configured with accurate component lists
  • Work centers set up with operating schedules

Step 1: Configure Manufacturing Lead Times

Lead times determine when Odoo schedules production to meet demand:

  • Manufacturing Lead Time — Set on each BOM via the produce_delay field. Number of days to produce the product
  • Days to Prepare MO — Set on the BOM via days_to_prepare_mo. How many days in advance the MO should be created before the scheduled start
  • Security Lead Time for Manufacturing — Buffer days configured in Manufacturing > Configuration > Settings

Total lead time = Manufacturing lead time + Preparation days + Security lead time.

Step 2: Configure Component Lead Times

For purchased components:

  • Set Vendor Lead Time on each product's Purchase tab per vendor
  • Set Security Lead Time for Purchase in Inventory > Configuration > Settings

Odoo uses these to determine when to trigger purchase orders so components arrive before the MO starts.

Step 3: Set Up Batch Sizing

On the BOM, configure batch production:

  • Enable Batch Size (enable_batch_size) — Toggle to enable
  • Batch Size (batch_size) — The quantity per manufacturing batch

When demand requires more than one batch, Odoo splits into multiple MOs of the batch size. This is useful for processes with fixed capacity per run.

Step 4: Configure Operation Dependencies

On the BOM's Operations tab, enable Operation Dependencies (allow_operation_dependencies). Then for each operation:

  • Blocked By — Which operations must complete before this one starts
  • Needed By — Which operations depend on this one

This creates a dependency graph that Odoo uses for scheduling. Without dependencies, all operations can start simultaneously.

Step 5: Configure Ready to Produce

On the BOM, set the Ready to Produce policy:

  • When all components are available — Production only starts when all components are reserved
  • When components for 1st operation are available (ASAP) — Production starts as soon as the first operation's components are ready, even if later operations need more materials

ASAP mode reduces wait times but requires careful component management to avoid mid-production stalls.

Step 6: Use the Master Production Schedule

Navigate to Manufacturing > Planning > Master Production Schedule (if available in your edition):

  • View demand forecasts by product and time period
  • Compare forecasted demand against supply (on-hand + incoming)
  • Manually adjust production quantities to smooth production schedules
  • Generate replenishment from the MPS view

Step 7: MO Scheduling

When MOs are created (manually or via replenishment), Odoo schedules them based on:

  • BOM lead times and operation durations
  • Work center availability (from resource calendars)
  • Operation dependencies and sequencing
  • Component availability dates

The Planned Start and Planned End dates on the MO reflect this scheduling.

Step 8: Production Groups

Related MOs can be linked via Production Groups (mrp.production.group). When a product has sub-assemblies, the parent MO and child MOs (for components) share a production group, enabling:

  • Visibility into the complete production chain
  • Coordinated scheduling across dependent MOs
  • Parent-child hierarchy tracking

Best Practices

  • Maintain accurate lead times — they are the foundation of good planning
  • Use operation dependencies for complex routings to prevent scheduling conflicts
  • Set realistic batch sizes based on actual work center capacity
  • Review the production schedule weekly, adjusting for demand changes
  • Use the MPS for make-to-stock products with predictable demand patterns