Consider simple engineering before committing to unnecessary robotics. The purpose of this field guide is to turn that idea into a practical sequence of questions, evidence and actions.
Why this matters
Many factory losses do not require a robot or a large control project. Better presentation, guided work, sensing, interlocks, fixtures and simple handling can remove variation while remaining understandable and supportable.
For before buying a robot: jigs, poka-yoke and sensors, the useful question is not whether a method or technology sounds promising. It is whether it changes a defined outcome under real operating conditions and remains supportable after the initial project attention has moved elsewhere.
Low cost should mean proportionate and maintainable, not fragile. The intervention still needs a clear requirement, safe design, reliable components, abnormal-condition handling and an owner after handover.
A practical working sequence
Use the sequence below as a working structure, not as a substitute for direct observation or qualified engineering judgement.
Observe the work. Capture motion, waiting, adjustment, defects and recovery across representative shifts and product variants.
Remove avoidable complexity. Stabilise the method and simplify presentation before adding controls or powered equipment.
Prototype the smallest intervention. Test a fixture, sensor, visual cue or material-flow change close to the process.
Validate edge cases. Include variation, jams, changeovers, incorrect parts, power loss and maintenance access.
Standardise and hand over. Document checks, spares, escalation, ownership and the result expected from daily use.
Questions that improve the decision
A useful review should make uncertainty visible. Record the answer, its evidence source, the owner and what still needs validation.
- Which manual decision or motion creates the recurring loss?
- Can geometry, gravity or presentation solve part of it?
- How will the operator recognise and recover from failure?
- Are components locally serviceable?
- Does the improvement remain effective across product variation?
Measures to watch
Select a small set of measures that connect the intervention to the operating result. Define the baseline, calculation rule, review frequency and expected response before declaring success.
- Cycle-time variation
- Minor stops
- Defects and escapes
- Ergonomic exposure
- Recovery and changeover time
Common failure modes
- Calling a cheap component a complete solution
- Ignoring safeguarding and error recovery
- Designing around one ideal part or operator
- Creating maintenance dependence on one specialist
The strongest next step is usually a bounded one: confirm the loss, test the most important assumption and agree what evidence would justify further effort. That keeps before buying a robot: jigs, poka-yoke and sensors connected to measurable progress rather than activity alone.