New Zealand Steel Success Case Deep Dive - with Stewart McVinnie

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.In this episode:
Learn how New Zealand Steel, as the country's only steel maker,
implemented predictive maintenance technology to enhance their
unique iron sand-to-steel manufacturing processDiscover how a
strategic pilot program and robust data foundation helped build
trust and drive successful adoption of predictive maintenance
across the organizationUnderstand how early detection of equipment
issues, like loose gearbox mounting bolts, helped avoid 12 hours of
critical downtime and potential catastrophic failuresExplore how
automation and standardization of configurations helped scale the
implementation from 300 to a target of 3,000-5,000 assets while
maintaining qualityLearn about the multiple benefits beyond just
downtime prevention, including quality improvements, yield
optimization, and how proper data governance enables future digital
transformation initiatives.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