Illustrative case: connect machine stops with shift records

This is a hypothetical example informed by technical research, not a KAOTOR client project. No customer or achieved outcome is claimed. It shows how an operational question can become a measurable pilot.

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Illustrative case: connect machine stops with shift records

This is a hypothetical example informed by technical research, not a KAOTOR client project. No customer or achieved outcome is claimed. It shows how an operational question can become a measurable pilot.

The hypothetical problem

A shift lead can see stop times in one system, while reasons are recorded elsewhere. Assume a pilot on one machine and two shifts, subject to permission and a site-specific suitability review.

The proposed approach

Match events using equipment ID and time. Flag events without a confirmed reason for human review. Preserve the source records and avoid inferring causes as facts. Start with read-only collection rather than machine control.

Evidence to collect

Check timestamp agreement, event completeness, matching accuracy and preparation time. Fix connection quality before adding AI. These measures require a real pilot; the example does not demonstrate lower downtime or better OEE.

KAOTOR service approach (https://www.kaotor.com/en/solutions/iiot)

Further reading: NIST SP 800-82 Rev. 3 (https://csrc.nist.gov/pubs/sp/800/82/r3/final)

Discuss your problem and pilot scope with our team (https://www.kaotor.com/en/contact)

Original source: www.kaotor.com ↗

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