Zero-defect manufacturing has long stood as one of the most ambitious goals in industrial quality control. For decades, however, it remained more of a guiding philosophy than a practical reality, limited by sampling inspection, human oversight, and delayed feedback from production.
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Siemens recently announced Digital Twin Composer, a new software solution that builds Industrial Metaverse environments at scale, empowering organizations to apply industrial AI, simulation and real-time physical data to make decisions virtually, at speed and at scale.
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Aegis Software has announced that it has completed the acquisition of Simio, a provider of Digital Twin Simulation software and Advanced Planning and Scheduling (APS) to an attractive and resilient set of end-markets.
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Following a successful pilot phase, Fraunhofer IWU and the European Space Agency (ESA) are now rolling out four sensor groups to all Ariane production sites as part of the SmartSENS project.
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A new report titled ‘Total Factory Visibility: A Clear Path to Ongoing Operational Excellence, Productivity, and Sustainability’ from FourJaw Manufacturing Analytics suggests most manufacturers are “stuck between a rock and a hard place” when it comes to understanding their production environments.
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At the heart of this powerful surveillance system is a ‘field-level’ industrial network developed by researchers at Shanghai Jiao Tong University in collaboration with Comac (Commercial Aircraft Corporation of China).
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Generation Z’s talent profile is well-suited for modern manufacturing, possessing digital fluency, artificial intelligence skills and a collaborative mindset, which align perfectly with smart factories.
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Digital Twin Consortium (DTC) has announced that Advanced Micro Devices, Inc. (AMD) has joined as a member. AMD will bring its cutting-edge AI processing capabilities and innovative edge computing solutions to accelerate AI-powered digital twin systems development and deployment across industries.
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Aiming to overcome barriers that prevent digital twins from delivering on their promise to improve manufacturing, the University of Michigan and Arizona State University are inviting industrial partners to participate in a new Center for Digital Twins in Manufacturing.
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Traditional factory planning software often relies on model-first approaches that can be slow to implement and don’t necessarily reflect real-world conditions.
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