Margins are under constant threat and businesses need to find ways to reduce costs, improve efficiency and productivity, and drive down waste. Metrology can help alleviate some of these pressures on the business when used efficiently.
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An MIT Technology Review Insights survey of global manufacturers found that 57 % of executives identify data quality as their biggest obstacle to scaling AI, a view shared by half of leaders in electronics and high-tech production.
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Manufacturers often struggle to use measurement results effectively, largely due to their reliance on static 2D reports that lack the level of detail needed for informed decision-making. While having access to rich 3D measurement data is essential to analyze issues thoroughly, managing such data can be cumbersome without a proper data management solution.
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Ensuring dimensional accuracy, repeatability, and quality assurance in additive processes is far more complicated than in traditional subtractive methods.
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With the launch of PolyWorks 2025, InnovMetric is introducing a digital thread that promises to revolutionize how 3D measurement data flows across teams. Metrology News spoke with Marc Soucy, PhD, President and co-founder of InnovMetric, about the importance of breaking down workflow silos in modern manufacturing.
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Linear encoders, often referred to as ‘linear scales’, provide high-accuracy position measurement and improved process stability. Their use in maintaining machine precision while avoiding drift over extended periods makes them ideal for ‘lights out’ manufacturing.
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The cooling hole solution, now used by MTU in series production, is the result of an intensive development partnership that began in 2018. Even back then, MTU turned to Bruker Alicona – initially with a collaborative robot (cobot) for optical inspections.
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ETQ, part of Hexagon, has shared results of its second annual global survey, the ETQ Pulse of Quality in Manufacturing. The survey revealed widespread challenges confronting manufacturers across a variety of sectors, including a persistent labor shortage, as well as a growing reliance on automation, AI and predictive analytics to help offset the shortage.
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As artificial intelligence (AI) and automation gain ground in the manufacturing sector, the conversation is shifting from “what machines can do?” to “how humans and machines can work together?”
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The Digital Twin promises a dynamic mirror of the physical world — but only when fueled by the continuous, connected flow of information delivered by the Digital Thread. The following article explores how this critical link is reshaping quality control and smart manufacturing.
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