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One of the challenges of multi-chamber scenarios for MES, is managing WIP according with the availability of the main machine, together with the availability of the required inner process chamber modules.
Gartner’s strategic technology trends for 2025 showcase the tools shaping the near future, from AI-driven autonomy to sustainable computing paradigms. For manufacturers, these trends represent more than just possibilities—they are an urgent call to action to drive efficiency, resilience, and innovation.
The semiconductor industry has long been on the leading edge of manufacturing automation, and companies like Lam Research continue to drive that innovation.
The manufacturing industry is undergoing a seismic shift driven by digital transformation. No longer a futuristic concept, digital transformation is essential for manufacturers operating in today’s competitive landscape. This article provides an overview of this critical initiative–exploring its focus areas, emerging trends, and potential challenges.
If you work in manufacturing, you’ve probably heard a lot of buzz about the Internet of Things (IoT) lately. And for good reason – IoT has the potential to completely disrupt how products are made.
The implementation of an MES CoE offers a strategic solution, aiming to standardize processes and technologies across these diverse environments while fostering agility and responsiveness to shifting business conditions.
Transformation of manufacturing process is a crucial component for global competitiveness. Today, most large organizations explore new technologies such as IoT, Machine Learning, Cameras, 5G and new generation software to transform their manufacturing systems.
The implementation of an MES CoE offers a strategic solution, aiming to standardize processes and technologies across these diverse environments while fostering agility and responsiveness to shifting business conditions.
Micron is using AI models to analyze 3.3 million images each day, which contributes to a 50% reduction in new product ramp time, and 18% increase in labor productivity. Micron expects the greatest AI contributions in intelligent analytics, intelligent robots, and content generation.
