Nowadays, Enterprise Asset Management (EAM)
systems or, more specifically, Computer Maintenance
Management Systems (CMMS) need to fill requisites like the
following ones: To work in all platforms, independently of
operating system, being this cross-platform and multi operating
system. However, CMMS also need to work in any language,
being this native, where they were developed or any other, like
English, Greek or Arabian.
Even the precedent challenges weren’t big enough it is also
necessary that CMMS receives and manages data from any type
of sensors, independently where they are placed, locally or
remotely, and the signals transmitted through wire or wireless.
In consequence, the on-condition predictive maintenance
reached a new level to enlarge the availability.
Furthermore, it is also necessary to manage the configuration
of the EAM itself to be able to communicate with the several
There are new technologies that represent new limits, not
beyond tomorrow but for today. Such technologies like
Augmented Reality, Artificial Vision and even holography have
potential to increase maintenance performance.
The physical assets are each time more and more strategic to
the organizations competitiveness then the EAM need to manage
not only the maintenance of assets but also all their Life Cycle
Cost, including investment, renewal and withdrawal aspects, and
also resources optimization. This is a complex equation that
increased in complexity along the time and, simultaneously,
ought to be managed in a friendlier way by the final user and, yet
more, its cost must be, each time, cheaper than before.
These are the main subjects that will be discussed in the
paper and also the proposed solutions, both the software and
hardware solutions in an integrated view, that represent not only
a state-of-the-art but a step ahead in the physical asset
management area, in general and in maintenance management,