ppt on virtual factory

3.  It refers to an integrated model that includes variety of
software, tools, and methodologies in order to solve
any real time problem of manufacturing system. This
model sees a real factory as a combination of various
sub-systems and includes them. In manufacturing, it
creates a virtual simulation exercise that helps in
replicating the real life scenario and helps in designing
and implementation.

4. Features of virtual factory
 Opportunism
 Excellence
 Technology
 Borderlessness
 Trust

5. How virtual factories work
Machine learning and data collection
 At the heart of a virtual factory is machine learning.
It’s an automated system digesting vast amounts of
data gathered from all corners of a factory.
 Old-school machinery or next-gen IoT-enabled
equipment all feed into the same data pool. From the
data pool, machine learning subtly identifies patterns
and trends, effectively predicting maintenance needs,
orchestrating supply chains and boosting worker
productivity.

6. Data visualization
 With a virtual factory, managers gain unparalleled
access to raw consumable data. Key metrics related to
overall equipment effectiveness or any other salient
factors can be visualized clearly.
 This clarity in information allows plant managers to
assess their production assets’ performance on a micro
scale and strategize accordingly. Imagine
understanding machine processes down to the
millisecond — it’s a measure of control like never
before.

7. Edge computing
 Edge computing is yet another critical component
of virtual factories. It’s all about tapping into
connected devices’ computational capabilities at “the
edge” of the network, where the data is generated.
 This approach reduces latency, allowing for real time
data processing and immediate action. By doing away
with the need to send data back and forth to a
centralized cloud, edge computing provides
unmatched speed and reliability.

8. Digital twins
 Digital twin technology forms the backbone
of every virtual factory. It’s a live, digital replica of a
factory’s complete production floor.
 These twins make it possible to predict maintenance
needs accurately and manage the lifecycle of machines
effectively. Even more so, they allow for advanced
scenario planning and risk management.

9. ERP integration
 Enterprise resource planning (ERP) integration also
plays a significant role in a virtual factory’s success.
 By bringing together varied but essential sectors such
as planning, purchasing, inventory, sales, marketing,
finance and human resources under one roof, ERP
integration ensures smooth information flow. This
streamlined communication means more efficient
operations and better decision-making in virtual
factories.

10. The advantage of virtual factory
involves:
 It helps in creating capabilities to support the rapid
development in manufacturing sector by pooling the
experts.
 • It helps in providing solutions in a speedy and cost
effective manner.
 • It eliminates the need for pilot plants or production
runs and replaces it with virtual simulation on
software.
 • It helps in the decision making process.

11.  Advanced analytics and scenario planning: A virtual
factory allows for comprehensive data analysis.
Accessible, clear and digestible metrics shed light on
overall equipment effectiveness and pave the way for
improved operational efficiency.
 Predictive maintenance: By employing digital twin
technologies, a virtual factory can assess machine
health and predict maintenance requirements
beforehand, ultimately minimizing unplanned
downtime.

12.  Lifecycle management: Monitoring machine and
environmental data allows for superior lifecycle
management, ensuring optimum productivity
throughout a machine’s operative life.
 Reduced co-evolution challenges: Virtual
factories integrate various digital tools for factory
design, management and analysis seamlessly. This
interoperability helps effectively deal with the co-
evolution of products, processes and production
systems over time.

13. reasons manufacturers should consider utilising Virtual Reality
Technology
 Product Design
 Once CAD data has been input into specialist software
your whole team will be able to virtually interact with
your product on a 1:1 or bespoke scale, without needing
to create a physical product which can be costly and
time consuming. This allows for businesses to easily
play with and manipulate their product, identify flaws
or areas which need improving as well as making quick
and easy changes.

14.  Quicker Go-to-Market
 Because changes can be made quickly and easily within a virtual
environment, businesses can arrive at their final design a lot
quicker before sending to production. This can help reduce
production times and allow for products to be launched in less
time; perfect if you work in a busy and competitive market or
industry!
 The best part is, most businesses already have the correct data on
their systems, it is all about learning how to use this data
efficiently and effectively.

15.  Increase Safety
 Virtual reality can also be used to create environments as well as products.
Virtually testing working environments allows companies to explore them
safely – any potential hazards that are identified can be rectified, avoiding any
incidents. This approach helps to improve the environment and protect the
safety of employees.

 Training Purposes
 Within a training environment, VR can support employees as they learn about
their working environment. In some cases, this avoids placing individuals in
potentially dangerous and risky scenarios in order to test procedures and
actions.

16.  Marketing Tools
 Virtual reality and simulation can be used to create apps
which can be showcased on digital platforms such as smart
phones and tablets. An example of this could be a smart
factory which showcases all of your facilities and
capabilities within a digital environment. This tool can
then be taken to conferences, demonstrations,
stakeholders and even financial suppliers.

17.  Boost in Creativity With Fast Production Cycles
 You can use various tools with these solutions to enhance agility to
boost your work effectively. This will reduce all the manual time spent
on tasks to expedite and improve creative production.
 . Eliminate All Costs for Misplaced or Lost Work
 You can market more effectively if you have your assets as planned.
Anything that affects the business plan leads to a further interruption
in production and spending more money trying to recover lots of work.
The digital transformation helps the company shift its storage to virtual
platforms to find any lost materials. They are also secure and easy to
retrieve anytime and anywhere.

18.  . Improved Measurement of ROI
 With the digital assets foundation, the business
receives various analytical tools to track its assets. The
tracking offers details on who is using which product,
where, when, and how. Such data is essential to inform
the decision-making process. It yields better systems
optimization and influences content strategies to
match business goals

19.  Create a Uniform Platform for Brand Consistency And
Integrity
 Companies should create a uniform integration of
solutions where every team member uses a similar brand
file for operations. You can direct your teams to a single
content repository using digitalized solutions and get
marketers' better search tools to better their services.
 The consistency experienced with such solutions helps to
form a cohesive brand messaging for every customer's
touchpoint.

20. Methods & tools used in virtual
Factory
 A Core technology is a technology which is fundamental
and critical to virtual manufacturing.
 Enabling” technology is necessary to build a virtual
manufacturing system
 Show stopper technology is one without which a virtual
manufacturing system cannot be built
 Common technology is one that is widely used and is
importance to virtual manufacturing.

21. The following activities are necessary to the above
methods foe achieving a virtual manufacturing system:
1) Manufacturing features
2) Modelling and repreaeantation Technologies
3) Visualization, environment construction
Technologies
4) Verification, Validation and measurements
5) Multidiscipline optimization