Page 68 - ENGINEERING REVIEW NOVEMBER 2022_Neat

ENGINEERING
REVIEW TECH INNOVATION

develop an automated predictive on the effect of introducing changes to ensures optimized results when
analysis system for maintaining industrial the facility can be evaluated before any evaluating different scenarios that affect
assets, analyzing plant performance physical implementation. the production line.
levels, and delivering the benefits of For example, the digital twin facilitates
Machine as a Service (MaaS) to grow capacity-planning evaluations using Optimizing production processes
revenue. Complete synchronization and demand-forecast data, machine- through data-driven policies
visualization of industrial operations utilization data, operator-work-hours One of the major concepts of Industrie
is another important aspect of the data, etc. to determine the number of 4.0 is the application of data-driven
digitalization of the factory and its assets, resources, and space that will be policies to optimize industrial processes.
industrial processes. needed when expanding operations to With digital-transformation technologies
Digital transformation visualization meet increased demand. and their ability to capture factory-floor
tools provide the support for visualizing Another important use of industrial data – including data coming from the
data from every aspect of a production data is in optimizing production deepest parts of a facility – anyone
process. An expansive industrial schedules in real-time. Traditionally, can develop data-driven strategies to
cloud platform provides a centralized schedules stay static and only change optimize specific processes.
location for storing data from inventory according to operator availability. The Factory owners can go outside the
management software, supply chain and old way of scheduling didn’t account box of the diverse business models that
logistics software, demand forecasting for risks such as unexpected machine Industrie 4.0 specifies to deploying data
software, and machine-utilization data. failures, instant increases in demand, or in innovative ways that solve specific
The collation of data within a centralized challenges with inventory availability. operational problems. It is your facility,
platform enables extensive analysis Simulation modeling and scheduling your data, and your factory’s challenges
when developing master production software, which is a digital transformation that put you in a better position to decide
plans and provides decision makers with tool, guarantees risk-based scheduling. It the best way to leverage captured data
a single source of truth and insight for accounts for all changing data that comes to simplify daily operations, reduce
making complex decisions. from the shop floor to create flexible real- scrappage, or drive revenue growth.
An even more important use of time schedules. The result of deploying a digital
industrial data pertains to validating and The agility that risk-based scheduling transformation strategy always includes
testing new ideas before implementation. provides ensures operators do not fly more awareness of your factory status
Facility-wide data collected from blindly into complex production scenarios and cheaper alternatives to evaluate
expansive industrial processes are fed while optimizing the production cycle. complex operational challenges before
into digital-transformation tools such as The digital twin can also serve as a implementing a solution, thus saving
a digital twin software to create a virtual single pane of glass for all the industrial enterprises the energy and cost of
mirror of the entire process. Unlike a data captured from the factory floor. implementing solutions that could spell
3D visualization application, the digital More data from industrial processes financial failure.
twin facilitates the transfer of data in leads to an even more accurate digital
real-time. By this method, evaluations twin of processes or of a facility that Conclusion
The digitalization of the factory is much
more than just an initiative to capture
data. Digital transformation technologies
have matured and reached the stage
of assisting managers with solving the
most complex challenges that they face
when delivering quality products, high
service levels, and growing revenue.

For more information,
Email: sales.in@exorint.com,
support.in@exorint.com
Website: www.exorint.com

64 | NOVEMBER 2022