sub-modules
Machine State and OEE
Derive operational metrics from qualified machine state, production counts and time windows.
A line reports high availability while repeated micro-stops destroy throughput. The KPI exposes the operational loss instead of hiding it in averages.
What changes
A line reports high availability while repeated micro-stops destroy throughput. The KPI exposes the operational loss instead of hiding it in averages.
data Viz
data View
section: operating-scene
Operational boundary
- What it does
- Derive operational metrics from qualified machine state, production counts and time windows.
- What the team gains
- The KPI exposes the operational loss instead of hiding it in averages.
- What it does not own
- A dashboard number cannot become final truth without its evidence.
- section
- operational-boundary
Machine State and OEE
action: Derive operational metrics from qualified machine state, production counts and time windows.
mechanism: A line reports high availability while repeated micro-stops destroy throughput.
workflow role: A line reports high availability while repeated micro-stops destroy throughput.
operational outcome: The KPI exposes the operational loss instead of hiding it in averages.
maturity: specified
evidence: MAXACOR Part 9, §§13–19; Part6.
Section 1
Operations team
Section 2
Engineering team
Section 1
Qualified physical state
Section 2
Current work context
Section 1
Evidence-bearing operational disposition
Section 1
A dashboard number cannot become final truth without its evidence.