A machine performance dashboard for every asset you run
Look at one machine at a time and see the full story. Brilliqs tracks utilization, cycle time, speed against ideal, and output for each asset so you can tell the strong machines from the weak ones and fix what holds you back.
- One clear view per machine
- Run time against idle time on every asset
- Cycle time and speed loss you can act on
- Years in delivery
- 20+Years in delivery
- Enterprise clients
- 135+Enterprise clients
- Data projects
- 500+Data projects
- Asset level detail
- Per machineAsset level detail
Know how each machine performs, not just how the plant did
Plant totals hide a lot. A shift can hit its number while one press sits idle half the time and another runs slow and burns through material. When you only see the sum, you cannot tell which asset carries the line and which one drags it.
A machine performance dashboard flips the view around. It looks at one machine at a time and shows how hard it worked, how fast it ran against its ideal, and how much it made. You see run time, idle time, cycle time, and throughput for each asset side by side.
Brilliqs builds this view from the signals your machines already produce. We connect each asset, define what good looks like for it, and put the numbers on a screen your engineers trust, so effort goes to the machine that will pay back the most.
Why weak machines hide in a healthy looking plant
When performance is only measured at the line or plant level, the machine that costs you the most stays invisible. These are the gaps a per asset view closes.
The slow machine blends in
One asset runs below its rated speed every shift, but the line still meets target, so nobody looks at it. The loss is real and repeats every day.
Cycle time drift goes unseen
A machine that once ran a clean cycle slowly gets slower. Without a per asset trend, the drift is written off as normal until output clearly suffers.
Utilization is a guess
You paid a lot for that CNC or robot cell, but nobody can say how much of the day it actually cuts versus sits waiting. Idle time stays a mystery.
No fair machine to machine view
Two identical machines can perform very differently, yet there is no clean way to line them up and see which one leads and which one lags.
What your machine performance dashboard does
Every view is built to answer a question about one asset. Here is what sits at the center of the solution.
Utilization and run time for each asset
The dashboard splits every machine's day into run time, idle time, and stopped time, then shows the share that turned into real work. You learn how much of a costly asset's day was actually productive.
- Run, idle, and stopped time per machine
- Utilization as a share of available time
- Run time against idle time on one bar
- Trend of utilization across shifts and weeks
Cycle time and speed against the ideal
For each asset we set the ideal cycle and compare the live pace to it. Small speed losses that never trip a stop alarm show up clearly, so you can recover pace that plant totals would never reveal.
- Actual cycle time against the ideal cycle
- Speed loss measured while the machine still runs
- Slowest cycles flagged for a closer look
- Cycle time trend to catch a machine drifting
Output and machine to machine comparison
The dashboard counts what each asset made and lets you place machines side by side. Rank them by utilization, speed, or throughput and the strongest and weakest assets sort themselves out.
- Good output per machine per shift
- Rank assets by use, speed, or throughput
- Compare identical machines on equal terms
- Spot the most variable asset, not just the slowest
Features that keep each asset in clear view
Practical capabilities that make the dashboard something your engineers open every day when they need to understand a machine.
Per machine profile
One page for each asset with its utilization, cycle time, speed, and output in a single glance.
Speed against ideal
Live pace compared to the machine's rated cycle so slow running shows up before it hits the count.
Machine ranking
Sort every asset by utilization, throughput, or variability to see which machine needs attention first.
Cycle time trends
Track how each machine's cycle time moves over days and weeks to catch a slow decline early.
Run versus idle split
A clear breakdown of working time against waiting time for every asset across the shift.
Health signals
Surface temperature, vibration, or fault counts where sensors exist to flag an asset before it fails.
What teams gain from a per asset view
The value is not the machine page itself. It is the decisions it lets your engineers make about where to spend time and money.
The weak machine gets found
The slow or unstable asset stops hiding behind the plant total, so the fix lands on the machine that actually costs you.
More work from costly assets
Seeing real idle time on an expensive machine turns waiting hours into productive ones without buying more capacity.
Speed loss recovered
Catching a machine that drifts below its ideal cycle wins back pace that never showed up in a stop report.
Fair, evidence based calls
Ranking assets on equal terms replaces opinion, so investment and improvement go where the numbers point.
How Brilliqs sets up machine monitoring
A clear path from first conversation to a machine view your engineers use every day. No long study, no rip and replace.
List the assets
We walk your floor, agree which machines matter most, and record the ideal cycle and rated speed for each one.
Tap the signals
We connect each asset through its controller, sensors, or a simple counter, so run time and cycles arrive without manual entry.
Build the machine views
We design a page per asset and a comparison view, then check the numbers against how your engineers read the floor.
Roll out and tune
We launch asset by asset, train your team, and refine the ideals, thresholds, and health signals as you learn.
The machine level signals your dashboard puts on one screen
A machine performance dashboard is only as useful as the measures it tracks per asset. These are the signals we surface most often.
Utilization and run time
- Run time, idle time, and stopped time per asset
- Utilization as a share of available time
- Working time against waiting time
- Utilization trend by shift and by week
Speed and cycle
- Actual cycle time against the ideal cycle
- Speed loss while the machine keeps running
- Slowest and most variable cycles per asset
- Units per hour compared to rated pace
Health and output
- Good output per machine per shift
- Fault counts and short stops per asset
- Temperature and vibration where sensors exist
- Output ranking across comparable machines
Where a machine performance dashboard earns its keep
The same per asset view supports very different jobs across the floor. A few of the ways teams put it to work.
Finding the slowest machine
An engineer opens the ranking, sorts by speed against ideal, and the asset dragging the line is at the top. The search that used to take a week of floor watching takes a minute.
- Assets ranked by speed loss
- The worst cycle time surfaced first
- Clear proof of where the pace is lost
Comparing identical machines
Two machines of the same make sit side by side on screen. One runs hotter and slower than its twin, which points straight at a mechanical issue rather than the operator or the material.
- Same model machines lined up fairly
- Utilization and cycle time shown together
- A clear lead machine and a lagging one
Fixing the bottleneck asset
The dashboard shows which machine sets the pace for the whole line and how often it stalls the flow. Improvement work targets that one asset instead of being spread thin across all of them.
- The pace setting asset made clear
- Idle time caused by the bottleneck
- Before and after view once the fix lands
Utilization on costly equipment
Leaders check how much of the day an expensive CNC or robot cell actually works. Low use makes the case for better scheduling or feeding before anyone signs off on a new machine.
- Real run time on high value assets
- Idle hours costed against the asset
- Evidence for scheduling or capital calls
Plant totals versus a machine level view
The difference is not just detail. It changes which machine your team fixes and how sure they are about it.
| No machine level view | With a machine performance dashboard | |
|---|---|---|
| Where you look | One number for the whole line or plant | One clear page for each asset |
| Finding the slow machine | Watching the floor and guessing | Ranked by speed against ideal in seconds |
| Utilization | A rough feel for how busy a machine is | Exact run time against idle time per asset |
| Comparing two machines | Opinion about which one runs better | Both lined up on equal, measured terms |
| Cycle time drift | Noticed only once output clearly drops | Caught early on a per asset trend |
Built to read the machines you already run
You do not need new equipment to see how each asset performs. Brilliqs taps the signals your machines already give off, from modern controllers to older units that only offer a cycle pulse, and adds a light input where a machine offers nothing.
We bring the per machine data together, clean it, and shape it into the asset views your engineers use. Because our roots are in data engineering, the pipeline behind each machine profile stays reliable as you add more assets and lines.
Two identical presses, two very different days
A short example of what a per asset view reveals that a line total never would.
A shop runs two presses of the same model on the same job. The line hits its shift target, so on paper both look fine and nobody asks a question. The plant total says the day went well.
On the machine performance dashboard the two tell a different story. Press one ran at its ideal cycle with high utilization. Press two ran ten percent slower, sat idle more often, and its cycle time crept up through the afternoon. The line only made target because press one carried it.
With that in hand the team checks press two, finds a worn feed clutch, and puts the pace back. Nothing about the line total changed, but seeing each asset on its own turned a hidden loss into a quick, clear fix.
Why engineers choose Brilliqs for machine data
Plenty of tools show a chart per machine. We build an asset view that fits your floor and holds up as you add more equipment.
Built around your assets
We set the ideal cycle and speed for each real machine, not a generic template you have to bend your equipment around.
Serious data engineering
Our background is data pipelines, so per machine signals stay accurate and stable even across many assets.
Vendor neutral
We read the controllers and sensors you already own and stay independent of any single equipment brand.
Support that stays
We train your engineers and keep tuning ideals, thresholds, and health signals long after launch.
Made for the people who answer for the machines
A machine performance dashboard gives each role the asset level view they need to make the call.
Production Managers
See which machine drags the line and move the fix onto the asset that costs the most output.
Industrial Engineering Managers
Compare assets on equal terms and use cycle time and speed data to raise pace where it slips.
Maintenance Managers
Watch fault counts, idle time, and health signals per asset to act before a machine fails.
Continuous Improvement Managers
Rank machines by loss, target the worst one, and prove the gain with the same per asset numbers.
Operations Managers
Know how hard each costly asset works and where idle hours are quietly eating capacity.
Plant Directors
Base capital and scheduling calls on real utilization for each machine, not a rough feel.
Machine performance dashboard questions
Straight answers to what manufacturing teams ask before they start.
What is a machine performance dashboard?
It is a screen that reports on each machine on its own. For every asset it shows how much of the time it ran, how its cycle time and speed compared to the ideal, and how much it produced, so you can rank machines and target the one that holds you back.
How does it measure machine utilization?
The dashboard splits each asset's day into run time, idle time, and stopped time, then shows the productive share of available time. You get an exact run time against idle time picture for every machine instead of a rough guess.
How is this different from an OEE dashboard?
An OEE dashboard rolls availability, performance, and quality into one score. This dashboard stays on the individual machine and its raw signals, utilization, cycle time, speed, and output, so you can dig into one asset. The two work well together.
Can it compare two machines that do the same job?
Yes. You can place assets of the same type side by side and rank them by utilization, speed, or throughput. That makes it easy to see which machine leads and which one lags, which often points at a mechanical issue.
Do we need new machines or sensors to use it?
No. Brilliqs reads the signals your equipment already gives, from modern controllers to older units with a basic cycle pulse. Where a machine offers no signal we add a simple counter or operator input so no asset is left out.
How does it help me find the slowest machine?
Every asset is measured against its own ideal cycle, so slow running shows up even while the machine keeps producing. Sort the ranking by speed loss and the machine dragging your line rises to the top in seconds.
How long does it take to go live?
Most plants see a first machine reporting within a few weeks. We start with one or two key assets to prove the value, then bring the rest of your machines onto the dashboard at a pace that suits you.
More machine and equipment solutions
Explore the rest of the Brilliqs manufacturing suite and the services behind it.
OEE dashboard
Roll availability, performance, and quality into one score you can improve.
Machine downtime monitoring
Capture every stop and its reason so you can cut lost time at the source.
Production monitoring dashboard
See live output across every line and order in one shop floor view.
Data visualization services
See how we design dashboards and reporting across the wider business.
See how every machine really runs
Book a short demo and we will show you a machine performance dashboard built around one of your own assets.