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Autonomous Maintenance Checklist: What to Include and How to Build One

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Most autonomous maintenance checklists fail the same way. They start as a careful list of everything that could go wrong on the machine, grow to 60 lines, and end up as a sheet operators initial at 6:55 a.m. without opening a guard.

A good checklist is the opposite: short, ordered the way an operator walks the machine, and specific about what "good" looks like. It gets done every shift, and the data it produces is something your maintenance team can actually use. A bad one produces 100% completion and no information.

This guide covers what belongs on an autonomous maintenance checklist, the fields every check needs, a sample to start from, and how to keep it current. If you're new to the program, start with the 7 steps of autonomous maintenance: the checklist is built in step 3.

What is an autonomous maintenance checklist?

It's the form operators use to run their CIL (clean, inspect, lubricate) and centerline checks. Each line comes from the written CIL standard for that machine, and each check has a frequency, a method, and a pass/fail limit. In most plants there's one checklist per machine or line, split by frequency.

What to include, by frequency

Here's a sample for a packaging line conveyor and case packer. Your items will come from your own standards and manufacturer specs.

Sample autonomous maintenance checklist for a packaging line
FrequencyCheckPass when
Every shiftClean product debris from infeed and transfer pointsNo build-up on guides or belts
Every shiftCheck air pressure at main regulatorNeedle in the green zone
Every shiftListen and look along drive side while runningNo new noise, no visible leaks
DailyInspect conveyor belt edges and spliceNo fraying, splice flat
DailyCheck glue tank level and nozzle conditionLevel above min line, no strings
WeeklyLubricate drive chain (marked points)Two pumps per point, no excess
WeeklyCheck critical bolts against match marksAll marks aligned
MonthlyClean and inspect sensor lenses and reflectorsClean, secure, sensor triggers on test

The fields every check needs

A checkbox alone tells you a line was ticked. These fields tell you what the operator actually found.

Case packer, Line 2 · Every shift

Check air pressure at main regulator

Reference

Photo of the regulator and a link to the One Point Lesson

Reading vs range

Target 80 to 90 psi · Reading 94 psi, outside range

Result

PassFail

Photo on fail

1 photo attached

Where it goes next

Abnormality created, routed to maintenance

Who and when

Captured automatically from the operator and device

  • Pass/fail, or a reading against a range. For centerlines, record the number, not just "OK." A reading drifting toward its limit is the early warning.
  • A photo on every fail. It saves the technician a walk and settles what the operator saw.
  • Where it goes next. A failed check should create an abnormality or work order automatically, not rely on someone remembering to tell maintenance.
  • Who and when. Operator name and time stamp, captured without extra typing.
  • A reference. A photo of the check point or a link to the One Point Lesson, so a new operator can do it right the first time.

How to build the checklist

  1. Start from the CIL standard. Every line on the checklist should trace to a written standard from step 3. If there's no standard, write that first.
  2. Split by frequency. Per shift, daily, weekly and monthly checks go on separate lists so operators aren't skipping lines that aren't due.
  3. Order it as a walk. Sequence checks in the order an operator moves around the machine, so nothing means doubling back.
  4. Cut it down. Use ECRS (eliminate, combine, rearrange, simplify). Limit centerline checks to the 5 to 20 variables that matter most.
  5. Time it. Have operators run it while you time them. If it doesn't fit the time the line allows, cut again.
  6. Pilot it on one line. Run it for a few weeks, collect operator feedback, then roll it out.

Keep the checklist alive

A checklist written once and never changed starts lying within a year. Review it every month or quarter with the data in front of you. Checks that fail often need a root-cause fix or a shorter interval. Checks that never fail may be candidates to drop or move to a longer interval. The maintenance manager at a global CPG manufacturer we worked with used Weever's inspection data exactly this way, to identify checks that could be eliminated and simplify the program.

How Weever helps

Each checklist runs on a schedule by shift, day, week or month, with reminders and overdue flags. Operators see the photo and target range for every check at the machine, on a shared device with no app or login. A failed check routes to maintenance with the photo attached. Updating a check takes minutes, and the change is live on every line at once. That plant now averages over 1,500 AM submissions a month.

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