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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.

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Wintriss Controls Group: Recap of FABTECH 2023

Fabricating & Metal Work

ShopFloorConnect ® collects downtime and production efficiency data from every machine, ranging from CNC machines to presses, fabricating machines, and more in all areas of discrete manufacturing. For more information, visit: wintriss.com/wcg/fabtech.html.

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Top 7 Reasons to Move to Solumina iSeries

iBASEt

Supplier Quality Management enhancements – Leverage the new Supplier Portal to give source inspectors outside your organization access to complete Inspection Orders, Discrepancies, and Corrective Action tasks. Upcoming releases will continue to build on these foundational MBE features.

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Enhancing manufacturing with ERP: growth and efficiency unleashed

Manufacturer's Monthly

Enter MYOB Advanced Manufacturing, a cloud-based ERP solution that interconnects every facet of an enterprise, end to end. The result is heightened visibility and the empowerment of informed decision-making, becoming a catalyst for substantial business growth.

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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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From Paper to a Model-Based Enterprise: A Journey Worth Taking

iBASEt

Information is as vast as it is fast-evolving, making the need for accurate, accessible, and adaptable data more pressing than ever. The complex discrete manufacturing industry, with its intricate processes and systems, is no stranger to these challenges.

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Digital Twins are powerful, and they’re not just for products

iBASEt

Product Twin: Product models capture product definition and lifecycle activity, providing a digital source of as-designed, as-engineered data along with virtual representations of the product. Process Twin: Process models represent manufacturing processes and production activities that are used to create products and services.