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4 Key Trends to Watch in Smart Manufacturing and Supply Chain

GlobalTranz

Industrial IoT and big data are converging to enable demand-driven 'smart supply chains.' According to industry standard ASTM F2792-10 , AM is defined as, "The process of joining materials to make objects from 3D model data, usually layer upon layer, as opposed to subtractive manufacturing technologies.".

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Take 5 – What Does the Connected Manufacturing Environment Look Like?

Now, That's Logistics

marches on, advanced technologies are playing a key role in helping companies attain new levels of automation, digitization, and data integration. Additionally, scanners can check raw materials for traits like paint color, alloy strength, or fabric composition to confirm accuracy before they are used for a finished product.”.

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4 Key Trends to Watch in Smart Manufacturing and Supply Chain

The Logistics Academy

Industrial IoT and big data are converging to enable demand-driven ‘smart supply chains.’ According to industry standard ASTM F2792-10 , AM is defined as, “The process of joining materials to make objects from 3D model data, usually layer upon layer, as opposed to subtractive manufacturing technologies.”

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Q&A: Florian Huettl

Automotive Logistics

And then our approach is that, first, my team is responsible for all the tools and methods and technologies that help our countries to forecast as well as they can. We are looking for new technologies which can help our countries; we need to make sure we have the best tools available. . That’s how we started.