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Digital Twin Deployments Tie Contracts to Measured Downtime Reduction

Predictive maintenance built on digital twins is reporting 20–40% reductions in downtime, with outcome-based pricing increasingly written against that figure.

digital twinpredictive maintenanceindustrial IoTmanufacturinganalytics

Predictive maintenance applications of digital twins in industrial manufacturing are reporting downtime reductions in the range of 20 to 40 percent, and outcome-based pricing contracts are increasingly written against that measurement.

The pricing shift is the more interesting development. Selling a platform on a licence basis puts the risk of it not working on the buyer; pricing against measured downtime reduction moves that risk to the vendor, which only makes commercial sense if the vendor is confident the effect is real and measurable.

It also forces a question that pilots often avoid: what the baseline actually was. Measuring a reduction requires knowing the previous rate of unplanned stoppage with enough precision to distinguish a genuine improvement from a good quarter. Sites that never instrumented their downtime carefully are in a weak position to buy on this basis, and instrumenting it is the prerequisite rather than the deliverable.

Source: PatSnap

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