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Revving Up Discrete Manufacturing: Is Your Manufacturing Data Ready for AI?

iBASEt

The Current State of AI in Complex Discrete Manufacturing AI clearly has staying power and will continue to gain momentum as new use cases and applications are discovered. The complex discrete manufacturing industry is already making strides in AI adoption. appeared first on iBase-t.

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Bottoms-Up MES That Works

Gary Mintchell

The Pico MES no code application (a recent theme) builds on a library of tools used in discrete manufacturing. The library is a digitization of all the information relevant to the tool. That requires too much custom code (and I’d add, too many consultants). Another thing he learned from Elon—the more digitizing, the better.)

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The Open Group Open Process Automation Forum Announces Certification Program

Gary Mintchell

Where I see more opportunities would be in the discrete manufacturing area where the old trend of larger and more complex systems seem to be reversing to a more manageable size for the automation with the requirement to tie the systems to information networks.

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IMTS emphasizes the importance of information

Control Engineering

A key topic throughout the event, which impacts these other undercurrents in some way, is information. and the Smart Factory have put a greater emphasis on information and how it impacts a facility’s operation. Gathering all this information is only part of the picture, however. Protect the digital manufacturing supply chain.

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Digital Continuity, A Driving Force in Manufacturing Productivity

iBASEt

It applies across any business activity that incorporates digital information as part of its operational or archival processes. Put simply, “Digital continuity is the ability to use your information in the way you need, for as long as you need.” Aligning this information will drive productivity throughout your organization.

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How to Drive a Manufacturing “Culture of Quality”

iBASEt

Connect Quality Engineers Your MES also plays an important role in connecting quality engineers with the information and tools they need to expedite the rework planning process. And since all users have access to the same information and can update it in real time, they can collaborate efficiently to identify and handle discrepancies.

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AI in manufacturing: Where it’s been and where it’s going

Control Engineering

Manufacturing AI insights The integration of AI into discrete manufacturing aligns with the concept of Industry 4.0, The future of AI in manufacturing will be able to help with machine learning algorithms to reduce downtime, improve efficiency and extend equipment lifecycles.