Why
Choose this Training Course?
We
all know that the maintenance schedules and
failure rates often differ and
quite frequently we either need to reduce the interval between
regular
maintenance or even send assets for emergency repairs. With Big Data and
IoT maintenance
planning and failure rate prediction is now much easier and the
companies who use the benefits of these concepts
are improving their
maintenance schedules, reducing the costs and downtimes therefore winning over
their
competition.
With
the addition of agent-based simulation,
the machine learning and deep learning
algorithms could be expedited, and the maintenance predictions made as
lose to
the real life as possible, as we can simulate the behavior of aging assets and
new workforce behavior,
or the introduction of cutting edge technology to aging
workforce, something which is not in the user manuals,
but it is omnipresent in
today’s industry.
Course Outlines :
Big
Data and IoT in maintenance management
Import,
analyse and interpret Big Data
Through Predictive Analytics for
Maintenance Optimization
Understand
the benefits of IoT for
automation of maintenance scheduling and downtime
reduction
Perform
the optimization of maintenance
scheduling using AnyLogic simulation
software
IoT
and adaptive maintenance: Integrated
data collection
Maintenance
requirement forecasting
Ripple
and Bullwhip effects on production
originating from poor maintenance plans