Optimize your Parameters
The Problem is Rarely your MRP
The problem is that the parameters driving the system are no longer aligned with the real conditions of the factory and supply chain.
Planning Parameters Drift Over Time
Most MRP systems rely on planning parameters that are configured once and then revisited only periodically.
Lead times, safety stock levels, reorder policies, and planning methods are typically only reviewed during predetermined SIOP reviews, monthly audits, or when large planning shifts happen.
But real manufacturing environments are not static or periodic. Things are changing every day.
Supplier performance shifts. Demand patterns change. Production variability emerges. Scrap levels fluctuate. Costs Increase. New products are introduced.
Over time, these changes cause planning assumptions to drift away from operational reality.
When this happens, the MRP system continues to produce recommendations based on outdated logic, leading to predictable consequences.
Shortages appear unexpectedly
Inventory accumulates in the wrong places
Orders are delayed or missed
Planners and buyers spend time expediting
Machines and technicians sit idle
Production teams lose confidence in the outputs
Planners start to build workarounds to MRP
Automated Parameter Optimization
How it Works
Instead of relying on static assumptions, the platform evaluates how materials actually flow through your supply chain and highlights where planning logic needs to be updated.
The MRP Refinery continuously analyzes planning performance across your MRP system and identifies when planning parameters are no longer aligned with your goals and operational reality.
This allows manufacturers to continuously refine the parameters that drive planning decisions.
The system automatically detects issues such as:
Supplier lead times that no longer match delivery performance
Safety stock levels that do not reflect current demand patterns
Reorder point policies that are misaligned with consumption patterns
Planning methods that are inappropriate for a part's behavior.
Parameter settings that are creating excess inventory or shortages
Each issue is surfaced with clear recommendations so planners can quickly correct the planning logic and restore alignment between the MRP system and real operations.
Why our Approach is Different
Every manufacturing environment behaves differently and every company has different goals and strategies. Supplier reliability, demand volatility, production variability, and operational priorities vary across companies.
The MRP Refinery learns from operational outcomes over time and adapts its analysis to the unique characteristics of your supply chain and the strategic goals of your business
The system will customize and learn in many ways, including:
Align recommendations with business priorities
Adapt to supplier performance patterns
Learn demand variability across products
Improve accuracy as more outcomes are observed
Actionable & Deterministic
Most AI-powered supply chain tools stop at identifying problems or unearthing insights.
The MRP Refinery goes further by providing clear, specific recommendations for updating planning logic and parameters, so planners can take action immediately.
These recommendations could include:
Adjust safety stock for Part A123
Update supplier lead time for Vendor X
Change planning method for low-volume parts
Modify reorder policy for high-volatility items
Every recommendation, directly tied to a specific MRP parameter.
Bring Automated Parameter Optimization to Your Planning System
See how The MRP Refinery improves material planning and request a personalized demo.
Optimize your Parameters