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Trend Detection Podcast Podcast
Rethinking Predictive Maintenance: Evaluating Predictive Maintenance Properly - with Ryan Falcini

Rethinking Predictive Maintenance: Evaluating Predictive Maintenance Properly - with Ryan Falcini

Trend Detection Podcast vor 3 Wochen

0:00

37:06

Welcome to the Trend Detection podcast, brought to you by Senseye
Predictive Maintenance – which gives you visibility and insights
into all your assets, from single machines to full plants to help
you reduce downtime, increase knowledge sharing and accelerate
digital transformation across your organization.This is the third
episode in Rethinking Predictive Maintenance, a Trend Detection
podcast series exploring the people, data and decisions behind
successful predictive maintenance.We're joined by Ryan Falcini to
examine why some predictive maintenance evaluations demonstrate
meaningful value while others struggle to progress beyond the pilot
stage.Ryan explains why a successful evaluation must begin with a
clearly defined business problem, the right assets and realistic
measures of success. The conversation explores the limitations of
free proof-of-concept projects, the importance of good operational
context and why maintenance teams need to be involved from the
beginning.In this episode, you’ll learn:Why predictive maintenance
evaluations should start with a business objective, not the
technologyHow choosing the wrong assets can create a misleading
impression of valueWhy machine data needs operational context to
produce useful insightsHow maintenance-team involvement builds
trust and supports adoptionWhy predicting failures should not be
the only measure of successWhat needs to be in place before an
evaluation can progress to wider deploymentListen to discover how
manufacturers can move beyond simply testing predictive maintenance
and build the foundations for a scalable programme.You can find out
more about how Senseye Predictive Maintenance can reduce unplanned
downtime and contribute towards improved sustainability within your
manufacturing plants, by visiting:
www.siemens.com/senseye-predictive-maintenance