Maintworld Issue3 2016

XXXXXX ASSET MANAGEMENT
Making maintenance
management smart
An intelligent maintenance system
brings together technology, data, analyses,
prognosis and resources aiming for
the machines and systems to achieve
highest possible performance levels and
near-zero breakdowns.
To make the most effective use of an
intelligent system you first will need
to think about which data you want to
collect and how. With the right data acquired
from monitoring assets, companies
can obtain a competitive advantage
by gaining relevant insights in the performance
and usage levels of machinery.
By using an intelligent system criticality,
planning, processes, production, use of
resources, maintenance, stock levels and
spare parts can be managed to an optimal
form.
Data collection and remote monitoring
combined with an intelligent maintenance
system enables an informationbased
and future-oriented predictive
and optimal maintenance strategy.
Prognoses and valuable insights can be
created on the future, actual and historical
condition of machines and machine
components.
The ultimate goal of using an intelligent
maintenance system, leading to
32 maintworld 3/2016
THE ADVANTAGES OF AN
INTELLIGENT MAINTENANCE
MANAGEMENT SYSTEM
• Connecting machines, data, technology
and people throughout the
organization
• Preventative maintenance based on
real-time data, conditions and circumstances
• Transformation of data to information,
to knowledge, to fact-based
maintenance decisions and action
with remote monitoring and diagnostic
systems
• Intelligent decision support tools
• Perform maintenance when the
maintenance activity is most costeffective
• Valuable insights and influence on
machine and components behaviour
predictive maintenance, is to perform
maintenance at a set point in time
when the maintenance activity is most
cost-effective and before the machinery
loses performance within a threshold
of time.
Also of great value is the opportunity
to collect an entire database with diverse
knowledge on certain parts, machines
and suppliers. Knowing how equipment
holds under different circumstances and
usage level. For example, the production
environment, running time, what is processed,
temperature, humidity, operation
of the machine and so on.
Because machines and parts are
monitored for each machine individually,
they are not based on average data
from other machines or supplier specifications.
This has the advantage that the
individual performance curves, circumstances
in production environment, and
the operational strategy and if necessary,
previous data on historical incidents can
be included in the analyses.
Cases
Machine builder case
Together with an international operating
machine builder we started a pilot
project combining sensor data, M2M
communication and an intelligent main-