One clear number for how the network is really doing
Ten explainable indices that turn scattered plant data into a shared language every plant — and every level, from the shift floor to the leadership table — can read the same way.
Everyone already has a number. Rarely the same one.
Ask three people at a multi-plant steel operation how the network is doing on delivery, or quality, or cost, and you'll often get three different answers — pulled from three different spreadsheets, calculated three different ways. None of them is wrong. That's the problem.
Signals are scattered
Delivery data sits in one system, quality in another, energy and yield somewhere else again. Nobody sees the whole picture at once.
The same word means different things
"Reliable" at one plant isn't calculated the same way as "reliable" at another — so comparing plants becomes a debate about methodology, not performance.
By the time it's visible, it's already cost you
Without a shared, current view, a slipping number often surfaces in a monthly review — long after the decision that could have changed it.
One shared language, built from what you already measure
The Decision Intelligence Layer doesn't ask a plant to collect anything new. It takes the records already being kept — orders, heats, downtime, quality checks, vendor deliveries, inventory, forecasts — and turns each into one clear, comparable number, calculated the same way, everywhere, every time.
Each of the ten indices answers one plain question about the network — is it delivering in full and on time, is it running at the capacity it should, is it making what quality demands, is it using energy and material well, are vendors and inventory behaving, is the forecast holding up. Together they cover the questions a plant head, a planner, and a shift in-charge each ask in their own words.
No index is a black box. Every score is built from ordinary arithmetic on real records, so it can always be explained — never just asserted.
What each index is actually asking
Grouped the way a plant would naturally think about them — not by how they're calculated, but by what they're for.
On-Time-In-Full Reliability
How reliably the network delivers complete orders, on time — weighted so it reflects the customers who matter most.
Network Reliability
How much of the network's capacity stays available and predictable, once stoppages and disruptions are accounted for.
Capacity Availability
How much usable production capacity the network can actually call on, after subtracting time genuinely lost.
Manufacturing Integrity
How much of what was planned to be made is actually made, at usable quality.
Quality Reliability
How much output passes quality the first time, without a complaint or a claim following it out the gate.
Thermal & Energy Efficiency
How efficiently heat and energy are used, measured against what each process should reasonably need.
Yield & Material Efficiency
How much usable product comes out of the material that went in.
Supply Chain Efficiency
How reliably vendors and materials arrive on time and at the right cost, with sound alternatives when they don't.
Working Capital Visibility
Whether inventory across the network is sitting where — and in the quantity — it should be.
Demand Forecast Accuracy
How closely what was planned to sell matches what actually sold — plant by plant, month by month.
See it, don't just report it
The point isn't a monthly slide with ten scores on it. It's a way of asking a question and getting an answer you can act on the same day.
Start with one clear number
The whole network's score for that index, right now — not last month's, not a modelled estimate.
Narrow to what matters
By plant, region, product, vendor, customer, or time — however the question in front of you is actually framed.
Follow the outlier
A ranked view shows immediately where the number is weakest, without anyone having to go looking for it.
See exactly why
Drill down to the order, the heat, or the event behind it, and the plain reason it counted the way it did.
Built to grow with the plant, not ahead of it
Starts with data you already have
Built from the records your plants already keep — orders, heats, downtime, vendor and inventory logs. No new sensors or systems needed to begin.
Grows one index at a time
Start with the two or three numbers that matter most today, and add the rest as trust in the framework builds.
Ready for what comes next
Once a number can be trusted and explained, it becomes something a decision can safely be built on — the foundation for whatever comes after sensing.
Want to see your own network inside this framework?
We'll walk through the indices most relevant to your plants and show what the shared number would actually look like, using the kind of data you already collect.