Volume 04 Issue 09-2024
15
American Journal Of Applied Science And Technology
(ISSN
–
2771-2745)
VOLUME
04
ISSUE
09
Pages:
15-20
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
ABSTRACT
Automation in manufacturing refers to using technology and machines to perform specific tasks without the need for
humans to intervene. The goal of automation is to increase efficiency, productivity, and accuracy in the production
process, reducing manual labour and minimizing the risk of human error.Recent supply chain disruptions and a
squeeze on labour markets means automation has now become more important than ever.According to the
International Federation of Robotics, there are around 3.5 million industrial robots in operation around the globe. The
Federation noted this represents a growth rate of more than 30% year-on-year, with a massive surge in demand since
the pandemic.
KEYWORDS
Automation of intellectual labor; tools to creating of the applied automated systems; technology; automated system.
INTRODUCTION
Automation in manufacturing is achieved by using
programmable devices, systems, and tools such as
artificial intelligence, robots, and computer-controlled
machines. Automation is most frequently used to
automate repetitive or dangerous tasks, which frees
up human labour to focus on more highly skilled
tasks.While there are clear benefits for automated
systems, you should figure out the growth and savings
potential they will offer before investing in the
technology. Automation, though requiring an upfront
investment, is typically designed to make your work life
easier.
Research Article
METROLOGICAL SUPPLY AND METROLOGICAL CONTROL APPLICATION
FOR DEVICES AIMED AT PROGRAMMABLE AUTOMATION
Submission Date:
Sep 01, 2024,
Accepted Date:
Sep 06, 2024,
Published Date:
Sep 11, 2024
Crossref doi:
https://doi.org/10.37547/ajast/Volume04Issue09-03
Obidov Jamshidbek
Associate professor of Fergana polytechnic institute, Uzbekistan
Journal
Website:
https://theusajournals.
com/index.php/ajast
Copyright:
Original
content from this work
may be used under the
terms of the creative
commons
attributes
4.0 licence.
Volume 04 Issue 09-2024
16
American Journal Of Applied Science And Technology
(ISSN
–
2771-2745)
VOLUME
04
ISSUE
09
Pages:
15-20
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
Here are a few of the key benefits of using automation
in manufacturing:
▪
Increased efficiency. This is a central reason to
introduce automation into your business. Using
machines, robots, or automated processes for
certain tasks means they are completed at greater
speed and with more precision than can be done by
humans. This reduces manufacturing and
production time, while also allowing the labour
force to complete more complex tasks.
▪
Increased quality. Automating tasks generally
means higher quality control. If the automation is
introduced for the right tasks, most (if not all)
errors can be eliminated. This increases quality
output, and for a lower cost. Ultimately, it means a
business is able to offer customers a better, more
affordable product produced at greater speed.
▪
Cost savings. The introduction of automation, as
outlined above, saves labour costs, reduces waste
and increases efficiencies. Generally, introducing
automation machines or tools should decrease
costs and ultimately deliver greater profits to the
business.
▪
Increased safety. Introducing automation to
certain tasks should increase safety, particularly if
used for dangerous or high-risk tasks. For example,
using an overhead crane to move a heavy object
minimises the risk of back injury caused by humans
carrying it across the factory instead.
▪
Improved ability to gather and analyse data. Tasks
done by humans generally require more manual
collation of information, which can be time-
consuming and prone to error. Automating tasks
means data is more easily collected and can be
analysed for future improvements.
▪
When it comes to automation in manufacturing,
the key is to understand which options best suit
your business
–
and at what point it’s appropriate
to invest in automation tools and software.
METHODS
There are numerous ways you can automate your
manual processes. However, not every automation
method is right for every business. Let’s look at a few
examples of automation tools used in manufacturing.
Computer-Integrated Manufacturing (CIM).
CIM
automation is when the manufacturing process is
entirely run by automated systems. This will likely
include various types of automation including
computer-aided engineering, enterprise management
systems, robots, and automated integrations.
Under CIM, the product is prototyped and
manufactured through automated systems with a
robotic production line. Quality control, storage, data
management, and distribution are also automated.
Volume 04 Issue 09-2024
17
American Journal Of Applied Science And Technology
(ISSN
–
2771-2745)
VOLUME
04
ISSUE
09
Pages:
15-20
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
Picture 1.
Computer-integrated manufacturing automation allows a business to rely entirely
on mechanical systems for production.
Industrial Internet of Things (IIoT)
. IIoT automation
refers to manufacturing or production in which various
devices and smart machines use artificial intelligence
(AI) to connect through sensors and ‘talk’ to each
other. This enables data and information to be shared
in real-time and improves the processes and output of
the product.
A similar process is called ‘Intelligent Automation,’
which uses AI to integrate machine-learning algorithms
into the manufacturing process to communicate in
real-time and improve precision and outputs.
Fixed Automation or Hard Automation
. Fixed/Hard
automation refers to machinery which is used for
particular tasks, such as repetitive actions on a
production line. The machines are pre-programmed to
perform the tasks with precision and consistency.
Robotic automation is a similar method, where robots
are used for production line requirements such as
packaging or painting.
Programmable
Automation
.
Programmable
automation refers to the use of higher-level
programmable systems such as Programmable Logic
Controllers (PLCs) to control machine and device tasks
and operations.It is used to produce batch quantities
ranging anywhere from a few to a few thousand units
at one time. The equipment must then be
reprogrammed and adapted to accommodate each
new product style.
Flexible Automation
. Flexible automation allows for
changes to demands that require refinements to the
manufacturing systems. This method utilises machines
which are controlled by computer systems and
operated manually to allow for changes to be
introduced.
Volume 04 Issue 09-2024
18
American Journal Of Applied Science And Technology
(ISSN
–
2771-2745)
VOLUME
04
ISSUE
09
Pages:
15-20
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
Picture 2.
Robots can aid in manufacturing by automating your manual factory
processes such as stacking, labelling, and assembly.
Examples
of
automation
in
manufacturing
.
Automation in manufacturing comes in a variety of
shapes and sizes, from quickening ordinary processes
to a complete overhaul of your logistical
systems.Below are some examples of common ways
automation can be used in manufacturing.
Use of robots
. There are more than three million
industrial robots on factory floors around the world.
They are pre-programmed to carry out repetitive or
tedious tasks that would be prone to error if carried
out by humans.
Manufacturing tasks that can be performed by robots
include:
▪
Stacking
▪
Painting
▪
Welding
▪
Polishing
▪
Labelling
▪
Assembly
The use of robots decreases the cost of production
and increases the precision and speed of output
.
Major companies that use robots on their factory
floors include Tesla, which uses industrial arm robots
for its production line among others uses, and Amazon,
which leans on robots for inventory management and
other requirements.
3D printing
. This refers to printing various production
parts with a 3D printing machine, which follows a
computer design to print certain materials such as
plastic in thin layers until the design has been recreated
in physical form. 3D printing negates the need for
traditional manufacturing processes to be used to
create or order that particular part. Companies that
use 3D printing on their factory floors include
Volkswagen, L’Oreal,
and Aldi.
Volume 04 Issue 09-2024
19
American Journal Of Applied Science And Technology
(ISSN
–
2771-2745)
VOLUME
04
ISSUE
09
Pages:
15-20
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
CNC Machining
. CNC machines are those which use
computer software to direct and control certain
automated processes that may be more complex than
those handled by robots.
This type of automation is used in industries like
aerospace, due to its high levels of precision and rapid
production abilities.
Inventory
management
automation
for
manufacturers
. Inventory management automation
refers to machines and software systems which
manage and control inventory in your various storage
facilities. In some cases, they can track parts or
products along the entire supply chain.
Benefits of inventory management automation in
manufacturing
. Inventory management is one of the
many ways automation can be used by manufacturers
to create products with more accuracy, at greater
speed and at a lower cost.
It also enables the automation of data and tracking
which greatly improves the efficiency of the
manufacturer and ensures inventory is maintained at
the right level, with a low risk of over- or under-
stocking of goods.
Amazon
–
the world’s biggest e
-commerce platform
–
leans heavily on automation for its inventory
management. Amazon uses automation tools to lift
and move packages and shift products through its
facilities. Its use of automation is regarded as a major
reason for its success in its speed of delivery, which has
contributed to its rise as an e-commerce juggernaut.
Inventory management software
. The right software
is vital to the success of automated systems. Software
such as Unleashed’s cloud
-based system automates
many of the processes involved in inventory
management, such as data entry and reporting.
It offers transparency over what products are
available, what needs to be ordered from suppliers,
and what lines may be moving faster or slower than
others.
RESULTS
Automated inventory systems support tracking and
delivery, ensuring products are received from the
supplier and sent to the customer in good time and as
expected. Tracking systems provide real-time data on
the progress of the product, allowing the
manufacturer to communicate with the supplier or
customer about any delays or issues if required.
Knowing what has left the warehouse and when also
enables the manufacturer to order more products
from suppliers at the right time and maintain
appropriate inventory levels.
Automated systems are able to draw on datasets and
demand patterns to support forecasting and demand
planning. Using automated forecasting systems
enables the manufacturer to accurately plan the supply
chain demands, inventory stocking, and delivery to the
customer. The rise of IIoT is expected to be a huge
trend for the year ahead. IIoT increases productivity
severalfold, by connecting various ‘smart’ devices
through
advanced
sensors,
automating
and
streamlining the manufacturing process. It should be
noted the rise of the IIoT and robotics requires
significant network bandwidth and as such may be
reliant on connectivity capacity.
The rapid increase in technology means labour needs
to be upskilled in new areas, and away from traditional
skills which may now be handled by automation tools.
The need for manual labour is now in specialised areas
such as Augmented Reality (AR) and Virtual Reality
(VR) technology. These can assist, for example, in
Volume 04 Issue 09-2024
20
American Journal Of Applied Science And Technology
(ISSN
–
2771-2745)
VOLUME
04
ISSUE
09
Pages:
15-20
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
understanding manufacturing products which may
ultimately end up in dangerous or inaccessible
locations such as space stations.
The ability to understand, build and utilise Digital Twins
will also be an increasingly in-demand skill. A Digital
Twin is a digital replica of a real-world process and can
be used to understand and improve production lines
and outputs.
CONCLUSION
The rapid increase in the production of data is making
synthesis for evidence-based medicine increasingly
impractical. To improve the process, limited resources
can be used more effectively with computational
support and automation. With the help of the insights
learned from systems and software engineering,
health informaticians are particularly qualified to lead
the effort to change evidence-based medicine. With
automated processes and computational support, the
limited resources allocated to evidence synthesis can
be used more effectively. On-
site, the robot’s
technology, and technique have been heavily deployed
with a focus on low-rise buildings. More evaluations
will be produced to address more clinical concerns,
maintain them current, and demand less training if
reviews are conducted more quickly and with scarce
assets. Together, improvements in comprehensive
literature automation will give clinicians access to more
evidence-based information, enabling them to deliver
higher-quality care. According to available data, not all
of the review process's processes have yet been
automated. The majority of the Performing Review
phases of the systematic literature review conducted
are the emphasis. Scientific investigations, however,
have not focused on all of the processes. Depending on
the nature of the core problem, some processes are
technically more difficult to automate than others,
while other steps demand technical difficulties. For
some of these issues, information and software
technology is insufficient, necessitating the use of
additional methods and tools. Additionally, there is a
lack of tool support. The literature review procedure
benefits from automation because it drastically cuts
down on the time and effort needed; this automation
goal will become increasingly important in the future in
many different sectors. In terms of future research, we
intend to create a deep learning tool to automate the
critical appraisal process selection of primary studies.
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