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Digital Twin Technology – The Smart Approach to Enhancing Manufacturing Productivity

In recent years, the manufacturing sector has undergone a remarkable transformation, driven by the integration of advanced digital technologies. Among these, digital twin technology stands out as one of the most promising innovations, reshaping how factories and production processes are designed, monitored, and optimized. At its core, a digital twin is a virtual representation of a physical asset, system, or process. This virtual counterpart mirrors the real-world object in real-time, enabling manufacturers to simulate, predict, and analyze performance, while optimizing operations with unprecedented precision.

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Manchester Metrology Bringing Matterport’s Digital Twin Technology to UK Manufacturing

Manchester Metrology has recently been authorised as the UK reseller to bring Matterport’s cutting-edge digital twin technology to businesses across a wide range of industries. Matterport’s innovative reality capture solutions allow companies to create precise interactive 3D models of physical spaces, revolutionising the way industries manage their environments with impressive accuracy and detail.

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Hexagon and SEAT Partnership To Leverage Digital Twin Technology Transforming Manufacturing Efficiency

SEAT S.A. chooses Hexagon’s advanced digital twin manufacturing technology to optimise processes for greater efficiency and reduced waste
Strategic collaboration encompasses the digitisation of manufactured vehicle components, advanced process simulation, data management, and reporting for the entire organisation.

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CNC Machine Connect Module Achieves New Level of Digital Twin Accuracy

VERICUT module allows users to connect with the CNC machines on their shop floor using Scytec’s DataXchange software. This data can be used to create and maintain more accurate digital twins through VERICUT Machine Configurations (VMCs), as well as confirm that CNC machines and VERICUT simulations match as closely as possible, to eliminate unexpected surprises on the shop floor during machining.

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Digital Twin Consortium Members Develop and Deploy Multi-Agent Gen AI Systems

The Digital Twin Consortium (DTC) announced that members are developing and deploying Multi-agent GenAI Systems (MAGS) that are redefining the boundaries of how product design, services, and processes can be realized, born of efficiency and optimizations. Use cases include automotive, manufacturing and infrastructure, where MAGS is utilized to drive significant productivity improvements, streamline operations, and maximize efficiency.

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