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Is Industry 4.0, smart manufacturing working for you?

Control Engineering

Learning Objectives Identify how to determine if your company is moving quickly enough with Industry 4.0 Review differences in Industry 4.0, smart manufacturing and digital transformation. Understand Industry 4.0 It has been a dozen years of Industry 4.0 Is there an Industry 5.0?

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Digital manufacturing, smart manufacturing, enable sustainability efforts

Control Engineering

Working with Microsoft and PWC, ZF is creating a ZF industrial internet of things (IIoT) platform in the cloud as one point of information, to be downloaded and applied for fast decision-making for 250 plants globally. maturity roadmap, with strategic prefunding to optimize smart factory development, said Gonzalez-Alanso.

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How to organize, protect and apply big data in automation

Control Engineering

When rolling out AI-enabled machine vision to automate inspection processes, manufacturers drive quality improvement initiatives with an eye toward improving production yield, increasing process efficiency, and reducing costs. and what it means to the organization.

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

Control Engineering

Information models: One of the biggest industrial changes in progress is the drive toward Industry 4.0, smart manufacturing and digital transformation. Optimize SCADA data use with information models 6. The idea is to make optimal use of all data to improve performance and quality and reduce costs.

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More answers on bridging the gap from edge to cloud MES to make automation more effective

Control Engineering

This is how we build our products, this is the steps that each product takes, this is, if in a process manufacturing environment, we have our recipes. Andersen: Please see: “ Modern edge computing accelerates smart manufacturing initiatives for discrete manufacturers.” We have a lot of information in these systems.

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A look at digital transformation using the cloud

Control Engineering

This third tier of edge strategy helps a facility take a step closer to realizing industrial autonomy. By applying distributed ML, it is possible to distribute the AI workload between the cloud and edge, enabling a new paradigm of smart manufacturing. How the cloud benefits manufacturing. Courtesy: Yokogawa.