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Unleash the power of smart manufacturing while ensuring automation and robotic safety

Control Engineering

Learning Objectives: Understand what technologies should be integrated into manufacturing automation and robotic processes Review current, available Industry 4.0 technology trends Learn the needed competences to complete a robotics and automation risk assessment Quickly establish Industry 4.0 To thrive within the Industry 4.0

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Is Industry 4.0, smart manufacturing working for you?

Control Engineering

smart manufacturing and digital transformation. Control Engineering asked these questions and others about smart manufacturing and digital transformation to Jeff Winter, senior director industry strategy, manufacturing, Hitachi Solutions, and an industry expert on Industry 4.0 The definition of Industry 5.0

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Unleash the power of smart manufacturing

Control Engineering

On day 2, October 18, of the Fall 2022 session of CFE Media’s Virtual Training Week, Ted Rozier, director of engineering at the Mason, OH-based Festo Didactic Solution Center, North America, will present on the topic of “ How to unleash the power of Smart Manufacturing while ensuring automation and robotic safety. ”.

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Festo Didactic, SICK announce new robots safety awareness program

Automation Mag

The curriculum content focuses on robot risk assessments as well as the implementation of the system approach vs automation à la carte. The hardware includes a Festo Didactic manufacturing production system (MPS), a simulated Cyber-Physical Smart Factory with six-axis robot, SICK area scanners, safety PLC and safety relay.

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Cobots lend a hand on the shop floor

Automation Mag

Until very recently, Marc Sauvé never imagined he’d be teaching his team members to program robots. “I I would never even have thought about a robot,” he says. That was something for car manufacturers.”. Like many Canadian manufacturers, CIS has been affected by the perennial shortage of skilled workers.

Robotics 100
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Beyond the Machine: Total Solutions

Fabricating & Metal Work

Automotive manufacturers were some of the earliest adopters, but today, automation is found in a wide variety of industries and companies of all sizes. When working with some of the earliest automation systems, every pickup point had to be taught to the robot. How can we measure and define success?

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7 ways SCADA software can advance IIoT implementations, if you do it right

Control Engineering

smart manufacturing and digital transformation. SCADA software should support information models (asset definitions) and follow standards like ISA-95 for enterprise to control system integration. For example, depictions of robot positions can match real world conditions. Optimize SCADA data use with information models 6.