OEE Implementation Checklist (Free, Printable)

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9 critical items still open - these are the highest-risk gaps.

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Definitions and scope

Pilot lines or machines chosen, with a clear reason for eachCRITICALPlanned production time rules written downCRITICALIdeal cycle time source agreed for each productCRITICALMinimum stop length for logging agreedRework treated as not good in first pass qualityChangeovers classed as downtime and recordedOne-page definitions sheet approved by operations and quality

Data capture

Machine state captured automatically or by a defined manual processCRITICALTotal and good counts captured by shift or by jobCRITICALDowntime reason code list built and trimmed for the pilotClocks across machines and systems are synchronisedWork order or part number linked to each runScrap and rework reported against the same line and shiftData entry fallback defined for when sensors fail

People and ownership

Executive sponsor namedCRITICALOwner named for each pilot lineOperators briefed on why the data is collected, and what it will not be used forCRITICALSupervisors trained on the reason codesMaintenance and quality included in the review meetingsUnion or works council informed where relevantTime set aside for operators to log stops

Reporting and baseline

Baseline period of at least four weeks recorded before targets are setCRITICALDaily line board or screen visible at the cellWeekly Pareto of downtime by reason producedAvailability, performance and quality shown separately, not only OEEWeighted aggregation used across lines and periodsData quality check for OEE above 100 percent addedTargets set by line, not copied from a benchmark

Improvement routines

Daily short stand-up held at the lineCRITICALTop three losses assigned to named owners with datesAction tracker visible to the teamSMED, autonomous maintenance or poka-yoke projects chosen from the ParetoMonthly review with plant leadership scheduledGains verified in the data before the action is closedPlan to extend to further lines after the pilot review

Aim to tick every critical item before go-live. Missing critical items are the usual reason pilots lose credibility with operators.

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How to use the checklist

Work through the five groups with the plant manager, a maintenance lead, a quality lead and one operator from the pilot line. Tick what is done, note owners for what is not and re-run the checklist before go-live. Export it to PDF for the project file or to Excel for tracking.

Do the critical items first
Keep the pilot to one or two lines
Review progress weekly

Why these areas

Definitions make the number mean the same thing everywhere. Data capture decides whether the number can be trusted. People decide whether anyone acts on it. Reporting turns data into a visible baseline. Routines convert that baseline into improvement. A gap in any one of the five will cause the program to fade.

Reading your result

If more than a few critical items are open, delay go-live and fix them, because early distrust of the numbers is very hard to undo. If critical items are done and others are open, go live and treat the open items as the first improvement tasks.

Common mistakes

Common failures are starting with every line at once, setting targets from a benchmark before measuring a baseline, using OEE to rank operators, and building a dashboard before the reason codes are usable. Start small and show results first.

Frequently Asked Questions

How long should the pilot run?

Run it for at least four to eight weeks. That gives a stable baseline, enough stops to build a Pareto and time for operators to get used to the reason codes. Shorter pilots often reflect a single unusual week.

Should we measure every machine?

Start with the constraint or the machines with the largest cost of lost time. Measuring everything at once dilutes attention. Add lines as the routine proves it is working.

Is automatic capture required?

No. Manual capture with a good reason code list can start the process. Automatic state and count capture improves accuracy and removes burden, so plan it for the second phase.

How do we avoid misuse of the number?

State clearly that OEE measures equipment losses, not people. Use it to find and remove obstacles. Avoid league tables between operators, and share improvements and wins at the same pace as problems.

If you want help linking OEE data to ERP orders and maintenance records, we can review your data flow before you scale.

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