The Multi-Plant OEE Data Standard, aligned with ISO 22400
Two plants, the same formula, OEE numbers that cannot be compared. This guide gives corporate operational excellence, CI and IT/OT leaders the ISO 22400-2 time model in plain English, a field-level data dictionary, planned vs. unplanned rules, ideal cycle time governance and a roll-up method that weights plants by time, plus a one-page standard every plant can sign.
✓ Free PDF, 10 pages, in English • ✓ Instant download • ✓ Ready to use on the shop floor
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WHAT YOU GET
- ✓ISO 22400-2 in plain English: time elements, KPI formulas, MTBF and MTTR
- ✓Data dictionary with states, reason-code levels, units, timestamps and owners
- ✓Planned vs. unplanned decision table every plant signs once
- ✓Ideal cycle time governance and roll-up method with a worked two-plant example
- ✓One-page OEE data standard to copy and fill in
PDF, 10 pages, in English. Instant download.
Short answer: To make OEE comparable across plants, standardise the inputs, not just the formula. Use the ISO 22400-2 time model (availability = APT ÷ PBT, effectiveness = PRI × PQ ÷ APT, quality rate = GQ ÷ PQ), sign one list of planned stops in every plant, govern the ideal cycle time like a standard cost, capture the same fields as time-stamped events, and roll up by summing time elements before dividing, never by averaging plant percentages. The guide includes a data dictionary, a decision table, a worked two-plant example and a one-page template.
| In the guide | What you get | What you use it for |
|---|---|---|
| Why OEE numbers disagree | One line, one week, five plant conventions: OEE from 50.8% to 76.2% (worked example) | Show leadership why a data standard comes before benchmarking |
| ISO 22400-2 in plain English | Scope, edition status, the three-layer KPI hierarchy, MTBF and MTTR | Answer the standards questions from IT, quality and maintenance |
| Time model and formulas | POT, PDOT, PBT, APT, AUST, ADOT, ADET, PRI and the core KPI formulas | One calculation for every plant |
| Data dictionary | Fields, types, units, sources, owners and sampling rules | Brief IT/OT and your OEE software vendor |
| Reason codes and planned stops | Three-level hierarchy and a planned vs. unplanned decision table | Comparable availability, MTBF and MTTR |
| Ideal cycle time governance | Source options, seven register rules, governance checklist | Stop OEE inflation from loose cycle times |
| Roll-up and template | Time-weighted roll-up, worked two-plant example, one-page standard | Report one company OEE that holds up in review |
Who this guide is for
For corporate operational excellence and CI directors, VPs of manufacturing and IT/OT leads in the United States and Canada who run several plants and need OEE, availability, MTBF and MTTR to mean the same thing everywhere. The time model follows ISO 22400-2, the equipment hierarchy follows IEC 62264 (ISA-95), and every definition cites a public source.
Why multi-plant OEE rollouts stall
Many multi-plant OEE programs start by choosing software and dashboards. The disagreement starts earlier: each plant decides for itself whether changeovers are planned, which ideal cycle time to use and whether reworked parts count as good. The result is a set of percentages that cannot be compared or added up, and a corporate review that argues about data instead of losses.
The guide reverses the order. First agree on the elements ISO 22400-2 builds its KPIs from, then on the fields that carry them, then on the roll-up. Software comes last and simply implements the standard.
How to use the guide
Read pages 2 and 3 with your plant managers to agree on why a standard is needed. Hand pages 4 and 5 to IT/OT. Fill the one-page standard on page 9 at corporate level, then have each plant sign it. Test it on one line before cloning it to the next plant.
Read the full OEE and downtime FAQ →
Frequently asked questions about ISO 22400 and multi-plant OEE
Does ISO 22400 include MTBF and MTTR?
Yes. According to a NIST paper by Kang, Zhao, Li and Horst (2016), the KPI set of ISO 22400 includes maintenance KPIs: mean time to failure (MTTF), mean time between failures (MTBF), mean time to repair (MTTR), mean operating time between failures (MOTBF) and the corrective maintenance ratio. MTBF is the average time between failures during which the machine is able to produce; MTTR is the average repair time. In practice: MTBF = sum of time between failures ÷ number of failure events, MTTR = sum of repair time ÷ number of failure events.
Which KPIs are in ISO 22400-2?
ISO 22400-2 defines KPIs for manufacturing operations management with their formula, elements, time behaviour and unit. NIST counts 34 KPIs across ISO 22400-1 and ISO 22400-2, grouped into production KPIs (for example availability, effectiveness, setup ratio, throughput rate), quality KPIs (for example scrap ratio, rework ratio, first time quality) and maintenance KPIs (MTBF, MTTR and related indicators), with OEE as a comprehensive KPI built from them.
How is OEE calculated according to ISO 22400?
OEE is the product of availability, effectiveness and quality rate. Availability = actual production time ÷ planned busy time (APT ÷ PBT). Effectiveness = planned run time per item × processed quantity ÷ actual production time (PRI × PQ ÷ APT). Quality rate = good quantity ÷ processed quantity (GQ ÷ PQ). Multiplied together, OEE equals the ideal time of good parts divided by planned busy time.
How do I standardize OEE across plants with different machines?
Standardise the inputs, not the machines. Every plant uses the same time model (one signed list of planned stops), the same ideal cycle time rules (one source, versioned, approved centrally), the same count unit per line, the same reason-code levels 1 and 2, and the same event fields with UTC timestamps. Machines can differ; the definitions cannot. Test the standard on one line, then clone it.
How do I roll up OEE from several plants into one company figure?
Sum the elements, then divide. Company OEE = sum of ideal time of good parts ÷ sum of planned busy time. Never average plant OEE percentages: a simple average gives a small plant the same weight as a large one. In the worked example in the guide, a simple average shows 56.9% while the time-weighted company OEE is 61.6%.