Industry Insight

150 million data points to decide one offside call.
How many does your workshop need?

At this World Cup, the Semi-Automated Offside Technology (SAOT) has once again become the center of attention.

16 tracking cameras surround the pitch.
The connected ball transmits contact data at 500 Hz.
3D player modeling reaches millimeter-level precision.

In a single match, over 150 million data points are generated—
transforming offside decisions from post-event video review
into real-time signal output.

The essence of VAR is not to replace referees,
but to give them a more certain basis before making the call.

• • •

The Same Question Exists in Manufacturing

Cutting management on the shop floor is facing a similar challenge.

But the environment is far more complex—
with more variables, and a longer path to clarity.

A single cutting pass on titanium alloy involves:

• Material hardness

• Machine rigidity

• Cooling conditions

• Feed rate

• Tool wear

• Ambient temperature

Every factor is dynamic, and they interact with each other.

If football needs 150 million data points to draw one offside line,
it’s no surprise that the “optimal answer” in cutting management remains elusive.

But that does not mean data is not valuable.

The Real Gap Is Not Data — It’s Decision-Making

Many factories have already started:

• Manual records

• Excel-based tracking

• Knowledge transfer from experienced operators

But this information is fragmented:

• A ledger in the tool room

• Parameters at the machine

• Inventory knowledge in someone’s head

Daily operations work.
But when improvement is needed, something feels missing.

That missing piece is whether data can be
connected, visible, and actionable for decision-making.

• • •

Knowhy Is Building the “VAR System” for Cutting Management

At its core, Knowhy is not just upgrading tool storage.

It is building a system where:

1. Make Machining Computable

CNC data, usage records, and tool life data are fully captured.

From tool entry to end-of-life, every action is recorded—
not estimated, not assumed, but digitized into traceable data assets.

2. Make Status Visible in Real Time

• Which tool is in use?

• How long has it been used?

• How much life remains?

Tool room inventory, machine-side status, and regrinding progress
are all visible—without phone calls, spreadsheets, or manual checks.

3. Make Decisions Automatic

• When tool life is reached → automatic alerts

• Tools with remaining life → prioritized allocation

• Old tool not returned → new tool locked from pickup

Turning experience into rule-based system execution

• • •

A Clear Turning Point

Before:

Data → Human analysis → Human decision

Now:

Data → System judgment → Automated execution

This is not about replacing people.

Process engineers create value not by tracking parameters, but by solving complex problems and optimizing processes.

Systems take over repetitive tasks—
so people can focus on what truly matters.

Knowhy’s full-stack solution—
including Smart Tool Box, Tool Life Management, Machine Monitoring,
Process Agents, and Operational Systems—

is designed to build this foundation:

A unified data infrastructure where
flow data, tool life data, equipment status,
and process decisions are traceable, reusable, and actionable.

The Shift Is Already Happening

Cutting management is rapidly becoming data-driven.

Many factories have taken the first step:

• Deploying hardware and software

• Connecting data streams

• Enabling automated alerts

Those who started early are already seeing the benefits.

• • •

Conclusion

VAR took a decade to move refereeing from experience-based judgment to data-supported decisions.

Cutting management may not take that long.

But those who first complete the transition:

Data → System Judgment → Automated Execution

will be better positioned for the next wave of manufacturing:

• Precision components

• Complex geometries

• High-mix, low-volume production

Because in reality:

Orders won’t wait until you are ready.

Final Thought

If 150 million data points can resolve one offside decision,
then manufacturing must eventually answer the same question:

Are your decisions made by people—
or by systems?