The most expensive automation mistakes are not technical. They are projects that worked perfectly and should never have been built. A cell can hit its cycle time, pass every test, and still be a loss, because the task underneath it did not justify automating in the first place. So before you look at a single robot, the honest first question is not which one, it is whether at all.
You do not need a consultant to get most of the way through this. You need to be honest with yourself about five things.
The five-minute justification check
- Labour and volume. How many parts, on how many shifts, and what does the manual version really cost once you include wages, turnover, and the difficulty of hiring? Low volume with high variety is where automation most often fails to pay back.
- Payback. Put a rough number on the time for the saving to cover the build. If you cannot see a payback you would defend to your own finance team, the project is not ready, however neat the demo looks.
- Quality and risk. Where human error is costly, or the job is dull, repetitive, or unsafe, automation earns its place even at a thinner payback. A task that hurts people is worth more attention than one that merely costs.
- Stability of the task. If the part, the process, or the product changes every few months, a fixed cell can be obsolete before it pays back. Flexible demand sometimes argues for a person, or for a more flexible approach than a hard-tooled line.
- What good looks like. Be able to state the throughput, the precision, and the environment you actually need, not the best numbers on a datasheet. Over-specifying is how a job a small cobot could do ends up quoted as a fenced, oversized cell.
If the answer is no, that is a win
A clear no, or a not yet, this part stays manual while the rest of the line automates, is a result, not a failure. It is far cheaper to decide that in five minutes than to discover it after a purchase order. The best engineering answer to many automation questions is do not, and a process that can never say so is not advising you, it is selling to you.
This is exactly the first gate Robtn runs before it talks about hardware. You can describe the task in plain language, and it will work through the justification with you, point out where the case is weak, and tell you honestly when the money is better left where it is. When the case is strong, it moves on to the part, the task, and the requirements, in that order, with the robot near the end.