Deployment evaluation · 16

Throughput under sharing

Measure useful output with real human approaches, protective slowdowns, stops, replenishment, exceptions and recovery.

Evidence statusEngineering decision framework · application validation requiredLast reviewed: 13 August 2026
16

FUURAA thesis

Headline robot speed rarely predicts shared-workspace throughput.

Engineering map

Turn the title into engineering objects that can be observed, measured and reviewed.

Each layer states the boundary to establish and the evidence needed for the next decision.

01

Interaction losses

Count slowdowns, stops, blocked access, waiting and hand-off variability.

02

Product mix

Test the distribution of tasks, batches and changeovers rather than one ideal cycle.

03

Recovery burden

Include diagnosis, clearing, reset, verification and specialist support.

Verification questions

Write the questions first, then decide whether a demo, test, pilot or operating record can answer them.

Each question needs an object, conditions, denominator, threshold and accountable decision owner.

  1. 01

    How often does human presence reduce or stop motion?

  2. 02

    What denominator is used for throughput?

  3. 03

    How much output is lost to changeover and recovery?

  4. 04

    Does pressure to meet rate encourage unsafe workarounds?

Evidence to preserve

Enable the next reader to reconstruct conditions, results, failures and the decision.

A conclusion alone loses reviewability; raw records, configuration and exclusions matter too.

  1. 01

    Evidence package 1

    Timestamped state and interaction log

  2. 02

    Evidence package 2

    Output distribution across product mix and shifts

  3. 03

    Evidence package 3

    Recovery time and workaround observations

Scope boundary

State what this evidence still cannot be generalised to.

Sources and evidence status

Read standards scope, measurement evidence and application conclusions separately.

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