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SOLUTION · Operations & flow

Find the dwell the walk keeps missing.

Process flow optimisation RTLS that finds the dwell the walk keeps missing — bottlenecks from real move data you can defend in the morning meeting.

___BLOCK16___Process-flow optimisation · Line · cycle timeSIMULATEDStep 3 bottleneck+18% cycle timeConstraint foundSteps tracked5BottleneckS3Cycle time−18%Step 3 queue building · constraint flaggedUWB + MESSTEP 1–2STEP 3 · SLOWESTBUFFERUWB anchorThe bottleneck moves before a walk finds itImprovement money lands on the wrong stepReal dwell per step, defensible at stand-up
Where programmes stall

Spaghetti diagrams without a named bottleneck owner become wall art.

One constraint

Instrument the constraint, not the whole plant, in phase one. Cycle-time recovery on the bottleneck pays for the rest.

Before/after method

Agree the measurement window and exclusions up front. Otherwise every improvement debate re-litigates the baseline.

People vs product flow

Mixing badge tracking with WIP tracking without purpose limitation creates privacy and union issues. Separate the programmes.

How it works

Lean & process-flow optimisation: how it works, and what it pays back.

The right radio for the job — chosen, never sold — mapped to your use case. That is what makes the ROI fast.

1 · Measure

Carriers and people are tracked across the value stream for true cycle and dwell times.

2 · Analyse

Bottlenecks, waiting and over-processing surface against takt — the seven wastes, quantified.

3 · Improve

Re-balance the line, trigger andon, and prove the OEE gain after each change.

+6–9 pts
OEE
−cycle time
Throughput
−waiting
Lean waste
evidence
Kaizen ROI

UWB → station dwell · analytics → OEE & value-stream

Vendor-neutral

Which technology actually fits.

Paid only by you. Hardware stays on the vendor’s paper.

UWB

Station-level flow precision.

Analytics

Spaghetti, dwell & OEE.

Andon

Location-correct escalation.

Where it pays back

Industries this solution suits

In practice

The constraint, in data not opinion.

A manufacturer tracks carriers across the value stream for true cycle and dwell times. Waiting and over-processing surface against takt, the line is re-balanced, and the OEE gain is proven after each change.

Typically bought by: Lean / CI leaders, IE engineers, plant managers, COO.

USE CASES

Where this solution wins — examples by sector.

Hospital ED-to-floor flow (healthcare)

Process-flow analytics reduce ED length of stay.

OR turnover (healthcare)

OR turnover bottlenecks identified and removed.

Manufacturing assembly flow (manufacturing)

Cycle-time variance and bottleneck identification.

Pharma manufacturing batch flow (pharma)

Batch-flow analysis for GMP processes.

Aerospace heavy-maintenance flow (aerospace)

C/D-check process-flow analytics.

Who needs this kind of programme.

Lean / CI and plant leadership who need timed evidence of the constraint — not another stopwatch study that goes stale.

Automotive, electronics and discrete manufacturers chasing OEE, changeover and WIP age with spatial truth.

Industrial engineering pairing RTLS with MES so cycle-time claims survive the next audit.

What buyers compare in this market.

The competitive set is usually UWB process-tracking platforms (Ubisense, Sewio, Pozyx) versus MES analytics that infer flow from scans alone. Scan-only systems under-report dwell between stations; RTLS-only systems without MES context invent ghost constraints. Buyers also see digital-twin vendors promise simulation without a reliable live feed.

TRACIO advises on the minimum locating accuracy per bottleneck, the event model that CI can action weekly, and when RFID choke-points beat continuous RTLS for the money.

Why process-flow programmes stall.

Pretty spaghetti diagrams. Visuals without owners for each bottleneck change nothing.

Wrong sample. Piloting the calm line and rolling out to the chaotic one destroys trust.

No MES handshake. Location timestamps that never reconcile to order IDs cannot defend OEE claims.

Independent. Vendor-neutral.

We do not sell RTLS hardware or MES licences. We design the measurement system around the constraint you care about and keep the radio choice subordinate to that outcome.

Who needs this kind of programme.

Lean / CI and plant leadership who need timed evidence of the constraint — not another stopwatch study that goes stale.

Automotive, electronics and discrete manufacturers chasing OEE, changeover and WIP age with spatial truth.

Industrial engineering pairing RTLS with MES so cycle-time claims survive the next audit.

What buyers compare in this market.

The competitive set is usually UWB process-tracking platforms (Ubisense, Sewio, Pozyx) versus MES analytics that infer flow from scans alone. Scan-only systems under-report dwell between stations; RTLS-only systems without MES context invent ghost constraints. Buyers also see digital-twin vendors promise simulation without a reliable live feed.

TRACIO advises on the minimum locating accuracy per bottleneck, the event model that CI can action weekly, and when RFID choke-points beat continuous RTLS for the money.

Why process-flow programmes stall.

Pretty spaghetti diagrams. Visuals without owners for each bottleneck change nothing.

Wrong sample. Piloting the calm line and rolling out to the chaotic one destroys trust.

No MES handshake. Location timestamps that never reconcile to order IDs cannot defend OEE claims.

FAQ

Frequently asked questions

How does RTLS support lean and process improvement?

It turns assumptions into data - actual cycle times, dwell, travel distance, WIP queues and bottlenecks - so your lean team improves on measured reality and proves the gain afterwards.

Is this a one-off study or continuous?

Both. Use it as an instrumented time-and-motion study, then leave it running to sustain gains and catch drift - far cheaper than repeated manual observation.

What accuracy do we need?

Zone-level is enough for most flow analysis; precise UWB where you study tight workstation movement. We right-size it to the question.

How does it integrate with MES or ERP?

Flow and timing data combine with MES and ERP context so improvements connect to OEE, throughput and cost metrics leadership already tracks.

What outcomes are typical?

Shorter lead times, less WIP and travel, balanced lines, and an evidence base that makes continuous-improvement decisions faster and less contentious.

Ready to scope it?

30 minutes on the use case, the technology and the numbers.

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Last updated: 13 September 2026