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Digital work instructions for manufacturing: fewer errors, higher OEE

Digital work instructions for manufacturing: faster changeovers, fewer assembly errors and higher OEE. AI turns your SOPs into AR guidance on the line.

Pen drawing of a conveyor with robot arm and a tablet with OEE gauge for digital work instructions in manufacturing

In short

Digital work instructions in manufacturing replace binders and PDFs with step-by-step guidance at the workstation. Actarion uses AI to convert your SOPs and assembly instructions, and AR to show each step on the machine. The result: faster changeovers, fewer assembly errors, quicker onboarding and data that helps raise OEE.

How it works on the shop floor

How do you start a pilot in manufacturing?

  1. 1

    Pick one line and two or three tasks

    with visible pain: a frequent changeover, an error-prone assembly step or a long onboarding.

  2. 2

    Convert the existing SOPs

    with AI and have the line lead check the steps at the machine.

  3. 3

    Train a small group

    of operators and one team leader as key users.

  4. 4

    Measure

    changeover time, first-time-right rate and time to competence against a baseline of several weeks.

  5. 5

    Decide on scale-up

    with the data, and train your own authors for the next lines.

What challenges do manufacturers face?

  • More variants and smaller batches, so more changeovers and more chances for error.
  • OEE losses from long, unpredictable changeovers and minor stoppages.
  • Experienced operators leaving, and new staff who need months to learn.
  • Instructions that lag behind engineering changes.

Which standards apply?

  • ISO 9001 asks for controlled documented information (clause 7.5) and proof of competence (clause 7.2). Digital instructions with version control and a skills matrix support both.
  • ISO 45001 requires controls for hazardous tasks, such as energy isolation during maintenance.
  • IATF 16949 for automotive suppliers adds strict requirements on work instructions at the workstation.

Use cases in manufacturing

Use caseProblem it solvesKPI
Changeover / SMEDLong, variable changeoversChangeover minutes, OEE availability
AssemblyVariant errors, reworkFirst-time-right rate
Onboarding & trainingSlow ramp-upTime to autonomy
Preventive maintenanceUnplanned stopsMTBF, PM compliance
Quality inspectionsDefects found lateDefects at source
Safety & LOTOMissed isolation pointsLOTO compliance

Results you can expect

Shorter changeovers, fewer errors and faster onboarding. Figures depend on your baseline.

Anonymized case

A food producer started with training, changeovers and inspections, digitizing the procedures with the most variation first. Read the cases.

The duration of a first pilot depends on scope and site. See the pilot approach for the full method.

How Actarion helps

  • AI turns existing SOPs, drawings and videos into digital instructions in days.
  • AR guidance at the workstation on a tablet or AR glasses.
  • Step timing and deviations give input for OEE improvement.
  • Skills matrix shows who can run which machine.
  • Pilot with fixed KPIs, then roll out across lines and sites.

Pilot at a glance

One line, one process, hard numbers.

How a pilot works →
Scope
1–2 lines, 1 process
Duration
6–8 weeks
KPIs
Manufacturing
Prerequisite
baseline across several shifts

Frequently asked questions

Not for a pilot. Integrations through the API or CSV export can follow when you scale.

More on this topic

Pen drawing of Jack KesselsPen drawing of Mark Dercksen
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