LG Electronics is advancing its smart factory solutions business by integrating artificial intelligence (AI) and digital transformation (DX) with its extensive 66-year history of manufacturing and production expertise.
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A ‘dark factory’ is a fully automated manufacturing facility that operates without human intervention. These factories can run 24/7, significantly boosting productivity and efficiency.
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The rapid evolution of manufacturing technologies has brought us to the threshold of smart manufacturing, a paradigm characterized by the integration of cyber-physical systems, the Internet of Things (IoT), big data analytics, and advanced automation. As we embrace this transformation, a pertinent question arises: Is smart manufacturing the ultimate goal, or is it merely a stepping stone towards an even more advanced future?
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In today’s manufacturing landscape, the terms ‘Big Data’ and ‘Smart Data’ have become essential buzzwords, signifying a pivotal transformation in how production processes are managed and optimized. Both concepts are integral to the industry’s advancement, but understanding their distinct roles and applications is crucial for leveraging their full potential.
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Software provider, KEYPROD has announced new efficiency-enhancing features to its production monitoring solution, which enables manufacturers of all sizes and from any sector to reduce machine downtime.
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Chinese smartphone maker Xiaomi has become China’s eighth-largest electric vehicle manufacturer after launching its SU7 sedan model, in April. Xiaomi’s entry into the crowded China EV market is set to further disrupt the world’s largest auto market. Xiaomi is a household name in China renowned for its smartphone and home appliance products.
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The metrology field relies heavily on precision and accuracy. However, traditional measurement processes often encounter challenges that hinder efficiency and accuracy. These pain points create a compelling case for integrating industrial automation into metrology practices. According to Extrapolate, the global industrial automation market is anticipated to reach a valuation of $405.96 billion by 2030. This article delves into how automation technology can be used to improve and overcome metrological challenges.
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Global manufacturers are facing increasing demands for greater efficiency, customization, and sustainability, making the integration of advanced technologies essential. The shift to Smart Manufacturing 5.0 addresses these challenges by combining the innovations of Industry 4.0 with a focus on human-centric, resilient, and sustainable practices.
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Sight Machine Inc. and Siemens AG recently announced a partnership bringing manufacturing AI to on-premises automation networks. Sight Machine’s Manufacturing Data Platform is an end-to-end software system for collecting, contextualizing, and analyzing all types of manufacturing data to improve production. It enables manufacturers to unlock the power of industrial data to increase profitability, productivity, and sustainability.
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With each captured workpiece, the extended system reports rejects ‘inline’ and constantly optimizes its recognition, independently of adjustments in the milling process. The self-learning defect detection opens up new potential in manufacturing to save time and money in quality assurance.
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