Marcello
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Kayıt Tarihi: 2021-18-Agustos
Aktif Durum: Pasif
Gönderilenler: 37
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| Gönderen: 2021-26-Kasim Saat 05:54 | Kayıtlı IP
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Robotic automation from start to finish refers to the
concept of automating each and every step of the
manufacturing process. It is employed in the
manufacturing industry. On the other hand, activities
that are becoming more complicated and detail-oriented,
such as quality
inspection, are encountering greater
difficulties. When it comes to fully automated
manufacturing environments, Ofer Nir, Vice President of
Products and Marketing at Inspekto, explains why
automating quality inspection is essential.
End-to-end automation, also known as hyperautomation, is
now one of the most important strategic technology
trends, according to Gartner's list of the top ten
strategic technology trends. Hyperautomation has the
potential to benefit businesses of all sizes by, among
other things, replacing outdated labor processes and
generating revenue.
When all production steps are automated, but the product
quality is assessed using antiquated and unreliable
methods, the manufacturing process is considered to be
incompletely automated. Manufacturing companies can
benefit from the use of robotics and artificial
intelligence to increase productivity while also lowering
costs. However, bad products reaching customers because
an inspection missed a defect can be detrimental to a
company's bottom line.
The automation of quality inspection is the missing link
in a comprehensive end-to-end automation strategy that
optimizes production costs, speed, and overall product
quality. The automation of quality inspection can assist
you in achieving these objectives.
Given the high cost and complexity of existing machine
vision technologies, it may appear that achieving
automated quality
inspection is an impossibility. As a result,
they were faced with a choice between ignoring quality
control and hiring human quality inspectors. An
inspector's attention span may deteriorate during an
eight-hour inspection shift, resulting in the failure to
report faults or the rejection of products that are not
defective.
Manual inspection frequently relies on sampling, which
jeopardizes the quality of all objects that are not
subjected to manual inspection. It is impossible to
capture an image of the inspected item for further
examination, whether for the purpose of filing a claim or
generating data and insights to improve production
efficiency. Manual inspection is the only method
available.
The solution may require the services of a team of
technicians to maintain it, control the complex system
and its components, alter and update the system whenever
a minor change occurs in the product, manufacturing line,
or environment, and ensure that all products are
thoroughly inspected.
The impact of a single error on cost and material losses
can be significant in many industries, and this can have
a negative impact on service level agreements (SLAs) and
supply chain management systems. As a result, customers
may lose faith in a company's ability to maintain its
reputation over the long term.
Instead, manufacturing companies should think about their
expenditures over the long term and prioritize
expenditures that will yield quick returns while also
improving the overall product quality. The use of an
autonomous machine vision system can free up staff
members' time to work on more complex tasks that require
decision-making and problem-solving abilities, rather
than laborious, repetitive tasks that require human
intervention.
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