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Manufacturing IT, MES

Courtesy: CFE Media and Technology
Automation August 10, 2020

Redefining the boundaries of automation

Production challenges do not wait on IT developments, and getting to the root of a problem does not always have to be rocket science, says George Walker.

By George Walker
Courtesy: Emerson
IIoT, Industrie 4.0 August 7, 2020

Augmented reality tools: A digital bridge for the skill gap

Augmented reality (AR) is changing the way manufacturers work in the field. See three benefits of augmented reality and three examples of how AR helps users.

By Anna Velena, Vineesh Kapoor
Courtesy: PTC
IIoT, Industrie 4.0 August 4, 2020

COVID-19 accelerates digital transformation

Industrial organizations are realizing digital transformation value during the COVID-19 pandemic. This includes rapid production changes, enterprise-wide connectivity, and a shift from proof of concept to proof of value for Industrial Internet of Things (IIoT) implementations.

By Sean Callahan
Courtesy: Cirrus Link
Oil and Gas July 30, 2020

Modernize electronic flow measurement with MQTT

MQTT is a publish/subscribe, extremely simple and lightweight messaging protocol

By Arlen Nipper
Courtesy: McEnery Automation
Data Acquisition, DAQ July 29, 2020

How to put digitalization to work

Digitalization applies software solutions that use data to improve or transform business processes; digital transformation can include many digitalization projects

By Michael McEnery
Courtesy: Cincinnati Incorporated/Steve Rourke, CFE Media and Technology
Business of Engineering July 23, 2020

Manufacturers looking to be more flexible, analytical in wake of COVID-19

A survey of German and U.S. manufacturers found many have been heavily impacted by the COVID-19 pandemic and are looking to become more flexible and more dependent on data, maintenance models.

By Relayr
This sensor can be buried to continuously measure water tension in soil, a reading that can be related to soil water content. It's part of a cyber-physical agriculture system being developed by researchers at Iowa State University and the University of Nebraska-Lincoln. Courtesy: Liang Dong, Iowa State University
AI and Machine Learning July 19, 2020

Cyber-physical system developed to improve agriculture production

Researchers are developing a cyber-physical system (CPS) that improves agriculture production by constantly monitoring fields at near single-plant resolution, predicts productivity and helps farmers manage their water and fertilizer use.

By Mike Krapfl
Courtesy: Chris Vavra, CFE Media
AI and Machine Learning July 15, 2020

Big Data can optimize COVID-19 testing

University of Michigan researchers are designing a cloud-based system that will analyze infection and testing supply chain data to better organize the logistics of COVID-19 testing.

By Gabe Cherry
Artificial Chemist is an autonomous system designed to intelligently navigate through the chemical universe and develop useful materials for manufacturing applications. Courtesy: North Carolina State University
Robotics June 17, 2020

Automated system developed to accelerate R&D, manufacturing of materials

North Carolina State and University of Buffalo researchers have developed Artificial Chemist, which is a technology that incorporates artificial intelligence (AI) and an automated system for performing chemical reactions to accelerate R&D and manufacturing of commercially desirable materials.

By Matt Shipman
Courtesy: Chris Vavra, CFE Media
AI and Machine Learning June 12, 2020

Engineers develop methods for AI bottlenecks with machine-learning algorithms

Researchers at Rice University present energy-saving designs for data-intensive computer processing with machine-learning algorithms that can improve energy efficiency.

By Mike Williams