A methodology for evaluating a robot deployment
A repeatable way to answer the only question that matters: after real costs, does this beat the labor it replaces — with room to spare?
One question, asked honestly
Every robot decision reduces to a single question: after the real, all-in costs, does this machine beat the labor it offsets — with enough margin to survive being wrong? Everything else is input-gathering for that comparison. A methodology just makes the comparison repeatable and hard to fool yourself with.
The sequence
- Define the job: one task, with numbers (cycles, payload, tolerance, environment). If you can't, stop here.
- Size the labor: the fully-loaded annual cost of the roles the robot would offset — wages plus benefits, overhead, and the cost of turnover and hard-to-fill shifts.
- Build the cost stack: acquisition, integration, maintenance, energy, and useful life. Separate upfront capital from recurring annual cost.
- Estimate utilization honestly: the real productive share, after interruptions and ramp. Then estimate it lower.
- Compute payback and multi-year return: upfront investment divided by annual net savings, and the cumulative net over the machine's life.
- Stress-test: re-run the economics at lower utilization and higher cost. If it only works in the best case, it doesn't work.
What a good result looks like
A deployment worth pursuing usually shows a payback inside a couple of years, a clearly positive multi-year return, and — critically — still-positive savings when you knock utilization down twenty points. Fast payback matters in robotics specifically because the hardware iterates quickly; a machine that takes five years to pay back may be obsolete before it does.
The margin of safety
The single most useful idea to borrow from investing is the margin of safety: don't act on an estimate that only works if everything goes right. In robot economics, that means building the business case on conservative utilization and honest costs, and treating anything that only pencils out in the optimistic scenario as a no — or at least a "not yet."
MachineWorth's Robot Economic Signal is this methodology, automated. It runs the full comparison, stress-tests utilization, and returns one of three honest verdicts — Potentially Attractive, Needs More Analysis, or Currently Unattractive — with the reasoning shown. It's a decision aid, not advice, and it's deliberately hard to earn a green light.