19
2017
Featured here are original and timely articles from ARC analysts and guest writers on topics such as Digitization, New Business Models, Internet of Things, Industry 4.0, Smart Cities, and Smart Manufacturing. We dive into technologies such as additive manufacturing, machine learning, asset performance management, device connectivity, IIoT architecture, cybersecurity, augmented reality, and more related to digitization and transformation of industries, infrastructure, and cities. Our goal is to provide readers with clear and concise analyses, opinions, and discussion of these trends, technologies, and services.
Industrial companies are beginning to realize that digitization can help drive operations performance to new levels.
Siemens additive manufacturing innovation has been recognized and received the “3D Printing Application of the year” by the American Society of Mechanical Engineers (ASME). The company received its honor for the first ever successful test of additive manufactur
Anyone that I’ve talked to knows that I’m a big believer that analytics, even the most automated edge uses, require the integration of industrial subject matter experts (SMEs), whether in design, training, or adjustment phases.
There has been an increasing level of activity in the oilfields for companies to embrace digital transformation and leverage IIoT-enabled data analytics to improve operations, increase production and recovery rates, lower cost per boe, and improve collaboration within both the internal and extern
There has been substantial buzz around industrial adoption of Internet of Things (IoT) in 2017. But what’s actually going on behind the scenes at IoT-enabled industrial sites has remained much of a mystery. A recent survey conducted by Bsquare revealed how companies are progressing with IIoT.
In the context of ageing infrastructure assets in the developed world, inspections play a critical role in ensuring safety, extending the life of the asset, and increasing its performance.
The overall financial performance of rail operators is heavily dependent on the performance of critical assets; rolling stock such as locomotives, wheels, wagons, and linear assets such as tracks and signaling systems. When these assets are not running, the company is not making money.