5 smart manufacturing terms to know
TRANSCRIPT
Smart manufacturing uses fullyintegrated and collaborative
manufacturing systems to respondin real time to obstacles or
challenges faced by a factory.
These 'Smart' machines process data tostreamline production, respond to
customer demands, and reduce the risk ofproduct failures and safety issues on the
plant floor.
What is it?
The Internet of Things, or IoT, is anetwork of devices, machines,
buildings, and equipment that canexchange data and information
digitally.
What is it?
The Internet of Things, or IoT, is anetwork of devices, machines,
buildings, and equipment that canexchange data and information
digitally.
Why does it matter?
It enables remote accessthroughout the network, allowingeach network-connected device to
communicate without manualinterference.
What is it?
Why does it matter?
It monitors machine performancethroughout the manufacturing
operation and ensures that all runssmoothly.
Machine-to-Machine, or M2M,provides remote access to onemachine's data from another.
What is it?
Cloud Computing is a phrase used todescribe a machine's ability to access
data via the Internet.
What is it?
Cloud Computing is a phrase used todescribe a machine's ability to access
data via the Internet.
Why does it matter?
It's useful in manufacturingbecause internet-based data can
be shared and accessed on animmediate and on-demand basis.
What is it?
Preventive maintenance is anongoing, planned process that
follows guidelines for inspecting,detecting, and correcting equipment
failure.
What is it?
Why does it matter?
Preventive maintenance is anongoing, planned process that
follows guidelines for inspecting,detecting, and correcting equipment
failure.
It eliminates unnecessaryinspections and maintenance tasks,
making operations more reliableand cost-effective.
What is it?
Predictive analytics is an automatedprocess that looks at the history ofmachine failures to predict future
equipment issues.
What is it?
Why does it matter?
Predictive analytics is an automatedprocess that looks at the history ofmachine failures to predict future
equipment issues.
It compares machine sensor data tospot potential problems, giving
manufacturers the insight they needto better anticipate maintenance
and productivity issues.
Brought to you by
Want more content likethis? Check out our
awesome blog!Take me to the blog!