SAP PP, Planning & MRP Reliability

Why this topic matters

A reliable MRP is not just dependent on SAP PP. It depends on an alignment between industrial strategy, planning rules, master data, supplier constraints, production capacities, inventory and execution discipline. In many factories, the system correctly calculates what it has been asked to do, but the parameters no longer represent the operational reality.

Fenlynks helps supply chain and manufacturing teams regain control of PP/MRP fundamentals: material segmentation, quality of bills of materials, routing consistency, planning parameters, planning horizons, inventory policies and exception decision process.

Fenlynks perspective

Value does not come from the tool alone. It comes from aligning processes, data, business rules, users and operational capability.

Too many exceptions MRPPlanners can no longer distinguish between real signals and system noise.

Ruptures despite inventoryInconsistency between available inventory, quality status, batches, deadlines, supply data and real needs.

Unstable ordersCreation, modification or cancellation of overly frequent orders, with shop-floor impact and suppliers.

Engagement approach

System-wide MRP assessment

Analysis of root causes: quality of material master data, bills of materials, routings, lead times, safety stock, batch sizes, manufacturing/purchase strategy and planning parameters.

Operational segmentation

Classification of the material families according to criticality, consumption, variability, production constraints, supplier lead time and customer impact. MRP logic is not the same for a critical component, a consumable, a semi-finished material or a finished product with high variability.

Data and process action plan

Definition of an action backlog: parameter clean-up, clarification of order creation rules, governance of changes, MRP review routines and reliability indicators.

Actionable deliverables

Deliverables are designed to help project governance bodies and shop-floor teams decide, test, deploy and stabilise.

MRP reliability assessment
Material criticality matrix
Analysis of key PP/MRP parameters
Master data remediation plan
Planning pilot routines
Supply and production risk dashboard

Management indicators

Exceptions MRPVolume and criticality of open exceptions, average processing time.

Industrial serviceRuptures components, manufacturing delays, schedule adherence.

Quality dataRates of materials with inconsistent parameters, incomplete bills of materials, unmaintained routings.

Frequently asked questions

Why is MRP often unreliable?

Because the parameters rarely reflect current lead times, inventory, batch sizes, substitutions, supplier constraints and internal capabilities.

Should you clean up all the data before you act?

No. Families and parameters that generate the most operational risk must be prioritised.

What is the difference with a master data audit?

The master data audit looks at the quality of the data; the MRP analysis connects this data to planning decisions and shop floor impacts.