The 10 Most Admired Companies in Glass Industry.

through the networking of data between the various
production routines, whether it is a smart factory or
smart glass.
The Doubts in Mind
The main reason for skepticism for glass automation is
that while large dimensions and amounts of glass are
produced, it does not necessarily constitute a mass
product. Today, glass is also pretty smart because
multifunctional glass can make light and shade
distinctive, generate energy and control temperatures.
Tempered glass for smartphones and touch-screens is
more demanded than ever in communications and
consumer electronics. For example, thermally prestressed
and functional lenses require precise techniques,
continuous quality controls, and robust reproductive
processes.
Machine to Machine Talk
Companies may use and analyze the machine-to-machine
talking system in development to capture, store, and
collect data from various sensors, scanners, computers,
and software systems in a specific storage container. For
this function, the information is enriched with metadata
and stored in the central data collection. The result is a
comprehensive information system for logging and realtime
use of all communications in the production chain
with regard to order, batch, or individual lite.
Intelligent interfaces
In Industry 4.0 environments, the communication
networks work with two-way interfaces that are created
in cooperation with leading machine manufacturers by
software providers. Information from the state-of-the-art
glass processing equipment, equipped with electronic
components, is read and continuously monitored through
the use of smart software. An intelligent buffer at
different points, an isolated glass line, and a complete
plant node worth evaluation can be made with A+W
systems, or orders can be sent either from the maker to
the machine, or the control panels and analysis tools
from the machine. This improves production efficiency
and offers valuable information to be used by A+W IoT
data platforms.
The Human Element in the Smart Factory
Self-learning cannot be compared to automatic, and
talking rationalization would be wrong. We’ll see new
job profiles emerge in the future — jobs that will play
important roles and many still await creation.
Professionals would be needed to be trained and
supported in own countries. Mathematics, IT, science,
and technology, in particular at school, need to be made
more attractive and university admission criteria must be
reduced.
Changes in vocational training can be achieved through
work-oriented methods such as mobile e-learning (with
PDAs and smartphones) or by means of a company wiki
that can be collected, shared, and edited actively by all
staff. On-the-job learning is understood as a continuing,
important process.
The information exchange between workpiece, system
technology, and optimization software is now very
complex. The result of this is high productivity, material
efficiency, and quality – an important service of float
producers, which provide their customers with this
information on the stock. The process described is more
than just automation, as we know it: Glass Industry 4.0 is
composed only of intelligent networking and
communication of participating systems. Most glass
companies have understood this and are investing in an
intentional and careful way.
26 | INSIGHTS SUCCESS VOLUME - 07, ISSUE - 02, 2020