Robotics in Manufacturing

Robotics reliability

Robot reliability numbers: the vendor claims and the one independent study

88% of robot cells run reliably. The other 12% is where the money goes, and most of it is not the robot's fault.

That comes from the one published study that measured real robot cells across more than 400 factories. The same study puts the mean time to failure of a cell at 87 minutes, a world away from the reliability pitch on a spec sheet, where mean time between failures is quoted in the tens of thousands of hours.

This page traces both sets of numbers to where they actually come from, so you can tell a measured statistic from a sales figure.

Data covers vendor MTBF claims against the 2019 review of 400-plus factory reliability data. Last reviewed by a human editor before publication.

The figures and where they come from

Each figure is rated for how safely you can cite it today. Ratings judge current usability, not whether a number was ever correct.

FigureWhat it isSourceCitation ConfidenceNotes
88% reliableAverage robot cell reliability[A]HighThe average reliability of a robot cell across the study's factories. It is the headline finding and the number to cite for real-world robot uptime.
12% stoppedShare of time the cell is stopped[A]HighThe flip side of 88 percent reliability. The cell is not working 12 percent of the time.
87 minutesMean time to failure, robot cell[A]HighMean time to failure for a robot cell. Compare it with the vendor MTBF claims measured in tens of thousands of hours.
400+ factoriesFactories in the study[A]HighThe study drew on data from more than 400 factories, which is what makes it the credible independent source here.
80% not the robotDowntime not caused by the robot[A]MediumOf the time a cell is down, 80 percent is caused by problems not related to the robot itself (tooling, parts, upstream processes). Reliability is a cell property, not a robot property.
40,000 to 100,000 hrAdvertised MTBF (vendor claim)[A]LowThe range of MTBF figures vendors advertise, as listed in the source (40,000, 60,000, 80,000, and 100,000 hours). These are spec-sheet and certification claims with no independent verification. Do not cite them as measured reliability.

Why the numbers disagree

The two kinds of numbers measure two different things. A vendor MTBF figure describes a single robot arm running under controlled conditions. The 88 percent reliability figure describes a whole robot cell in a real factory, including its tooling, fixtures, sensors, and the parts flowing through it.

That distinction is the whole story. The study found that 80 percent of the time a cell stops, the cause is not the robot. So a robot can be genuinely reliable as a component and still sit inside a cell that is down 12 percent of the time. Vendors quote the component number; the plant lives with the cell number.

The vendor figures also have no published methodology behind them. The source lists advertised MTBF values of 40,000, 60,000, 80,000, and even 100,000 hours, and notes that some claims now imply a robot will run 43 years before it fails. None of those are tied to a dataset anyone can inspect.

How to cite these figures

For a realistic figure on how often a robot cell is actually running, cite the 88 percent reliability and 87 minute mean time to failure from the study of more than 400 factories, and name the source.

Treat any MTBF figure in the tens of thousands of hours as a vendor claim, not a measurement. If you must use one, attribute it to the manufacturer and make clear it describes the arm, not the cell.

When you talk about uptime, say whether you mean the robot or the cell. The gap between them is most of the argument, and mixing them is how a 99 percent robot ends up inside an 88 percent cell.

Where people go wrong

Quoting a vendor MTBF as if it were measured uptime. An 80,000 hour MTBF is a controlled-condition claim about the arm, not evidence that a cell runs 80,000 hours between stops.

Reading 88 percent reliability as the robot being broken 12 percent of the time. Most of that downtime is not the robot. It is tooling, parts, and the rest of the cell.

Assuming there is a large body of independent robot-reliability data. There is very little. The figures here come from effectively one published study, which is exactly why the vendor numbers go unchallenged.

How we checked

Every figure on this page is drawn from a single fetchable primary source: The Robot Report's 2019 article, which reports reliability research published in the International Journal of Performability Engineering. We fetched the article and confirmed each figure appears in its text before publishing.

We went looking for a broader base of independent robot-reliability data and did not find one. The underlying journal article sits behind a paywall, and the vendor MTBF and uptime figures trace only to spec sheets and marketing pages, none of which publish a method. Where a number could not be tied to a free primary source, we labelled it a vendor claim rather than a measurement.

The Citation Confidence rating reflects how safely a figure can be quoted today. The measured study figures rate High. The advertised MTBF and the 43-year claim rate Low, because they are marketing figures with no verifiable basis, included here only to show what the study was responding to.

Full source list

Primary sources, with live links. Every figure above traces to one of these.

  1. [A]The Robot ReportJune 3, 2019

    The Robot Report (Steve Sickler, Tend.ai), reporting reliability research published in the International Journal of Performability Engineering

    https://www.therobotreport.com/the-fake-news-about-robots-and-their-reliability/

Common questions

What is the real uptime of an industrial robot?
The one independent study of more than 400 factories found the average robot cell is reliable 88 percent of the time, so it is stopped about 12 percent of the time. That is a cell figure. A single robot arm on its own is more reliable, but the cell is what a plant actually runs.
Are the 80,000-hour MTBF figures real?
They are vendor claims with no published methodology. The source lists advertised figures of 40,000 to 100,000 hours and treats them as marketing, not measurement. There is no independent dataset behind them.
Why does a reliable robot still cause downtime?
Because most cell downtime is not the robot. The study found 80 percent of the time a cell stops, the cause is tooling, parts, or an upstream process, not the arm itself.
What is mean time to failure for a robot cell?
The study reported 87 minutes for a robot cell. That is far shorter than the hours-based MTBF vendors advertise, because it measures the whole cell in a real factory rather than the arm alone.

More data, traced to source