Parameter Audit Console
Catch the planning parameters that don’t fit how a part is sourced.
→ The settings that decide when to reorder were set once and never checked. Some of them are wrong.
Thousands of planning parameters drift out of line with how each part is actually sourced — and nothing flags which misfits are costing the most money.
An MRP parameter-governance console: it audits planning settings — safety stock, lot size, rounding, lot procedure, time fence — against sourcing-tier × ABC × XYZ targets, weights each finding by BOM criticality, flags inventory-health and lifecycle issues, and puts a dollar exposure on every one.
About this tool
Parameter Audit Console: what it solves
MRP only plans as well as its parameters, and across thousands of material-plant records those settings quietly drift away from how each part is actually sourced — overseas safety stock on a local part, a lot-for-lot policy where periodic belongs, a time fence that doesn’t fit the lead time. The Parameter Audit Console grades every planning setting — safety stock, lot size, rounding, lot procedure, time fence — against the target for its sourcing tier, ABC value class, and XYZ demand variability, weights each finding by where it sits in the BOM, and folds in inventory-health and lifecycle checks: dead stock, blocked stock, phase-in and phase-out mismatches. Every finding carries a dollar exposure, so the worklist sorts by money, not noise.
MRP plans exactly as well as the settings nobody has looked at since go-live
Safety stock. Lot size. Rounding value. Lot-sizing procedure. Planning time fence.
Five fields per material per plant, across thousands of records. Each one was set by somebody, once, often during an implementation, sometimes by copying a similar part.
Then the part changed. It moved from an overseas supplier to one two hours away, or the volume tripled, or demand went from steady to lumpy. The settings did not move with it, because nothing tells them to.
Nothing errors. MRP keeps planning, confidently, using a shape that stopped matching reality years ago.
The audit is against how the part is actually sourced, not against a fixed rule
Every material gets graded against a target derived from three things about it.
Its sourcing tier. A part coming from overseas needs a different buffer to one collected from a supplier down the road. Same field, different right answer.
Its value class. Where it sits in the ABC split changes how much it is worth holding.
Its demand variability. Steady demand and lumpy demand want different lot-sizing procedures, and running the steady rule on a lumpy part is a quiet, permanent cost.
Cross those three and you get a target for each setting. The finding is the distance from it.
Findings are weighted by where the part sits in the structure
A wrong setting on a part used in one product is a small problem. The same wrong setting on a component feeding thirty finished goods stops a plant.
The tool reads the bill of materials to weight each finding by how much depends on it, so criticality comes from the structure rather than from anybody’s opinion.
It also folds in the health checks nobody schedules
Dead stock nothing has moved. Blocked stock still counted as available. Parts phasing in that nothing has ordered yet, and parts phasing out that something still plans.
These are not parameter faults, but they are found in the same pass on the same data and they belong on the same worklist.
Every finding carries a dollar exposure, so the list sorts by money
Thousands of findings is a report nobody reads. The same findings ordered by what they are costing is a week of work with a clear top.
That figure comes from your own values and your own quantities. It is arithmetic on the numbers in front of it.
What this page is
A working demo of a tool that is built to order.
It runs on Northpoint Manufacturing, an invented company with invented material master records and invented values. No real parameter data is behind any of it.
It is one of the factory tools sold to manufacturers on the manufacturer page: built to order for one plant on its own extract, or run once for the written answer. The invented data is what lets anyone open it first.
What it will not do
It changes no setting. Every finding is a recommendation. A parameter written back automatically would move stock levels across a plant with nobody having agreed to it.
It does not invent the targets. The sourcing-tier and value-class targets are a policy your business sets. The demo ships one so the tool has something to grade against; a real deployment starts by agreeing yours, and that conversation is most of the value.
It compares you to no outside data. Everything it grades comes from your own records.
A dollar exposure is an estimate of what a setting is holding, never a saving. Fixing it does not release that money; it stops it growing. Treating exposure as a saving is the fastest way to lose trust in the whole list.
Built to order for your plant.
This one runs on invented data. Built to order for your plant, on your own extract, and yours outright: the code, the accounts, and a copy that runs with the internet off. Nothing is built before it is bought and there is no license to renew. A factory tool starts at $10,000 per plant. That is a floor per plant for a tool built to order on your own extract, never a quote. What yours costs is agreed before any work begins.
Or run once. The same tool on one extract of yours, and what you get is the written answer it produced rather than the tool. The audits below are that form, and each names the tool behind it.