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Trend Detection Podcast Podcast
Rethinking Predictive Maintenance: How Do We Roll It Out Across All Our Sites? - with Peter O'Hara

Rethinking Predictive Maintenance: How Do We Roll It Out Across All Our Sites? - with Peter O'Hara

Trend Detection Podcast vor 2 Wochen

0:00

35:21

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 fourth
and final episode in Rethinking Predictive Maintenance, a Trend
Detection podcast series exploring the people, data and decisions
behind successful predictive maintenance.Host Niall Sullivan is
joined by Peter O’Hara to explore what it takes to expand
predictive maintenance from one site to a wider, multi-site
programme.Peter explains why scaling is not simply about copying
the same deployment across every factory. Different sites may have
different reliability challenges, infrastructure, assets and
maintenance priorities. The conversation explores how manufacturers
can share lessons and standardise where appropriate, while still
adapting the approach to deliver value at each location.In this
episode, you’ll learn:Why predictive maintenance often demonstrates
more value at scaleWhy a successful deployment cannot always be
copied directly to another siteHow local engagement and global
knowledge-sharing support adoptionWhy each site needs clearly
defined problems and measures of successHow documentation helps
preserve knowledge as programmes expandWhat successful multi-site
adoption can look like over timeListen to discover how
manufacturers can build momentum, share successful practices and
scale predictive maintenance without ignoring the needs of
individual sites.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