AWS for Industries
Tag: AWS for Industrial
Siemens EDA’s Calibre nmDRC on Amazon EC2 X2iezn achieves high-performance and resource savings
Introduction This blog will help you understand how you can utilize Amazon EC2 X2iezn instances to expedite the semiconductor physical verification process using Calibre Physical Verification tools from Siemens EDA. As semiconductor devices increase in density and complexity, the physical verification phase of the chip design process requires compute nodes with increasingly high memory-to-core ratio, […]
Improving manufacturing field-distribution planning with a supply chain data lake
The Challenge Manufacturers that distribute products and manage inventory at many geographically dispersed sites struggle to predict replenishment timing and quantity accurately. For example, chemical manufacturers bound to vendor-managed inventory agreements make truck rolls to thousands of remote tank sites either when the tank is already empty (too late) or when the tank level is […]
Recapping re:Invent – What’s new in the Industrial and Manufacturing industry
Re:Invent 2022 is behind us, and if you didn’t make it to Las Vegas, you missed an exciting week of keynotes, sessions, announcements, and other content to help simplify and speed industrial digital transformation. Industrial customers had a lot to see and explore in the expo, Industry demo tent, and a variety of sessions. Highlights […]
Your guide to SPS 2022 with AWS and AWS Partners to simplify digital automation
Overview We hope you are ready for SPS 2022 (Smart Production Solutions), because we want to see you there! This year’s show theme focuses on bringing automation to life, and that all starts with smart manufacturing—achieved through cloud-based technologies that simplify digital transformation. Amazon Web Services (AWS) cloud technology can enable the innovation and agility […]
Understanding digital engineering and how it drives business value
Introduction Engineered systems such as aircrafts, engines, launch vehicles, satellites, automobiles, refineries, and wind turbines are complex, regulated, and quality-driven, and their development is expensive in terms of both cost and schedule. Businesses are adopting transformational concepts, such as digital engineering and digital twins to drive business outcomes around improved efficiency, agility, and quality. Commonly […]
Tyson Foods Boosts Efficiency with Computer Vision and Machine Learning from AWS
Tyson Foods Inc. (Tyson Foods) processes millions of pounds of beef, pork, chicken, and prepared foods each week in its facilities worldwide and strives to achieve operational excellence throughout the production process. With large-scale operations, every manual step adds up, creating potential bottlenecks in the production process. That’s why the emerging technology team at Tyson […]
Fleet management solutions for connected farms
Overview The agricultural industry faces a significant challenge supplying a growing population with the healthiest and most ethical foods possible. The world’s population is expected to reach close to 10B people by 2050 and the arable land utilized to feed this population is on the decline. The farming industry has been functioning near peak efficiency […]
INVISTA refactors critical legacy shop floor application using AWS
About INVISTA INVISTA is a global manufacturer of chemical intermediates, polymers, and fibers. From parts for the automotive industry to medical equipment, air bags, food packaging, carpet and clothing, our ingredients in the nylon 6,6 and polypropylene value chains help bring many of life’s essential products to market. A subsidiary of Koch Industries since 2004, […]
Manufacturing and Industrial at re:Invent 2021
Join us at AWS re:Invent 2021 Celebrating its 10th year, AWS re:Invent 2021 is gearing up to deliver a week of inspiring content, educational workshops and bootcamps, cool demos, and plenty of peer-to-peer networking opportunities. This year’s conference will take place in Las Vegas, NV from November 29th through December 3rd, and will have an engaging virtual component for […]
Intelligent automation for demand planning
Introduction Businesses need a unified real-time planning environment to optimize planning and democratize decision-making across lines of business and business activities, from strategic to operational levels. Machine learning (ML) can help increase the planning forecast accuracy. However, ML model outputs are not yet easy to use directly in business planning organizations. In this blog for […]