The strongest first automation project addresses a recurring production problem, has a manageable scope, and produces a result the team can measure. It also gives operators and engineers equipment they can support after commissioning.

Start by comparing processes rather than selecting a machine or robot. A material transfer improvement, a fixture, or a small handling station may offer a better first step than a larger automated cell. The appropriate solution depends on the loss being addressed and the conditions around it.

Write the problem in operational terms

“Improve efficiency” is too broad to guide a project. A more useful statement identifies the process, the loss, and the desired outcome: reduce manual transfers between two stable stations; improve loading consistency; or reduce recurring interruptions caused by an awkward handoff.

Establish a baseline using representative production. Record output, operator time, stoppages, rework, changeover time, and product mix where relevant. Distinguish hands-on work from waiting. If the measurement changes greatly between shifts or products, understand the variation before specifying equipment.

Look for a process that is ready to automate

A suitable first candidate usually has a defined input, a repeatable task, and an observable output. Check how consistently parts arrive, how much their dimensions and orientation vary, and how exceptions are handled. Universal Robots’ training material similarly emphasizes documenting the existing process before planning an automation application. [4]

An operation that looks repetitive may depend on frequent human judgment. Operators may compensate for inconsistent packaging, missing components, or unstable upstream quality. Automating the nominal cycle without addressing those conditions can move the difficulty into fault recovery.

Compare at least three candidates using the same questions: How significant is the current loss? How stable is the process? How many equipment interfaces must change? How difficult are exceptions? Who will own daily operation and maintenance? Treat these as a structured discussion rather than relying on a single score that hides a major unresolved issue.

Check whether the benefit reaches the line

A faster local operation does not necessarily create more saleable output. If another station sets line capacity, the first project may be better justified by reduced handling, improved consistency, or less operator intervention.

Consider a hypothetical plant comparing two projects. One automates a fast packing task downstream of a slower test station. The other improves a manual transfer that repeatedly leaves the test station waiting for parts. If observations confirm that starvation is a recurring loss, improving the transfer may be the stronger first project even if its automation looks simpler. The comparison should follow measured production behavior.

Build an economic case around achievable changes

Estimate the full installed cost: equipment, tooling, integration, utilities, installation, training, initial spares, and commissioning disruption. Include ongoing maintenance and support costs in the benefit calculation. For overseas equipment, assign responsibility for delivery, site preparation, documentation, and support at the installation location.

A simple payback estimate divides installed cost by annual net benefit. In a hypothetical project costing $60,000 with $30,000 in annual net benefit after added operating costs, simple payback is two years. This calculation excludes financing, tax effects, and the time value of money, and it should include realistic ramp-up assumptions.

Count labor savings only when the operating plan can capture them through reduced overtime, avoided hiring, or a defined reassignment that provides value. Do not count the same released hours again as additional capacity unless the effects are separate. Use conservative assumptions for scrap reduction and uptime improvements until evidence supports them.

Set the boundaries and acceptance conditions

Define what the system receives, what it delivers, which products it covers, and what remains manual. Assign ownership of connected-machine changes and abnormal conditions. Review safety and operator access as part of the design.

Acceptance criteria should state the product mix, sustained rate, quality limits, operator involvement, test duration, and changeover expectations. Include representative exceptions, fault recovery, documentation, training, and maintenance access. Name the production owner who will confirm performance after the initial ramp-up.

A practical first project checklist

Choose a project the team can explain, validate, and maintain. A well-defined first installation creates both an operating improvement and a sound basis for deciding what to automate next.

Sources

  1. Universal Robots Academy — Palletizing learning path

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