Tag: AWS for Industrial

Introduction The industrial sector is driving the convergence of Operational Technology (OT) and Information Technology (IT), promising improved efficiency and data-driven decision making. This is a much-needed shift; without it, industrial organizations will likely struggle scaling their digital transformation and smart connected operations. However, the path to OT-IT integration has faced challenges ranging from security […]

Factory or intralogistics automation, which can include assembly stations, sortation stations, robots, and conveyors, are programmed and operated by their respective native controllers or programmable logic controllers (PLCs). These controllers execute programs to control physical equipment to accomplish a task—for example, painting a car with the specified color or sorting an item by its barcode […]

In metal-to-metal welding applications, automating inspections to detect weld defects early and often can help avoid costly product recalls, excessive scrap, rework, and other expenses associated with poor quality. Companies have found it challenging to implement such automation. IBM Smart Edge for Welding (SE4W) with AWS aggregates quality inspection capabilities based on artificial intelligence (AI), […]

Don’t miss the Smart Production Solutions (SPS) Conference on November 14-16, 2023. It’s the place to stay current with the trends and technologies driving Industry 4.0. Please join Amazon Web Services (AWS) and many of our AWS Partners in Hall 5, Booth #350 to explore new and innovative digital automation and generative AI solutions to […]

Manufacturing is undergoing a revolution. The latest cloud technologies are enabling manufacturers to optimize operations, reduce costs, and create new revenue streams. At AWS re:Invent 2023, happening November 27th to December 1st in Las Vegas, Nevada, attendees will get an inside look at how leading manufacturers are using AWS cloud technology to transform their operations, […]

Product quality control and surface defect detection in manufacturing is very important for overall product cost reduction and customer satisfaction. Simply relying on humans to visually inspect products is unsatisfactory and does not scale; today’s computer vision models require vast amounts of images data for detection of surface area defects. In today’s smart manufacturing ecosystem, […]

In the rapidly evolving field of IoT in manufacturing and transportation domains, machine learning features create significant value. By utilizing machine learning at the edge, manufacturers can gather insights faster, identify trends, identify patterns, and detect anomalies, all resulting in enhanced security and safety and cost savings. Amazon SageMaker is a fully managed service that […]

Introduction Makino Milling Machine Co. (Makino), a Japanese milling machine manufacturer, has successfully launched a robot control system over a 5G network in less than 5 months. Makino has improved the stability of wireless communication between its moving Autonomous Mobile Robot (AMR) and the control server using the 5G network and Amazon Web Services (AWS). […]

Manufacturing semiconductor devices using advanced nodes have many challenges, but perhaps none is more directly linked to the company’s profitability and competitive position than yield. Yield improvements directly reduce the cost of manufacturing a single die while also helping the company amortize the development costs across more dies. There are great commercial products helping customers […]

Semiconductor yield analysis has evolved over time from simply comparing “good units” vs “bad units” to a deeper dive into data science to understand and mitigate a wide range of contributing factors. While yield-reducing manufacturing defects have been around since the invention of the integrated circuit, today there are other design, process, and market dynamics […]