Starrett is offering a comprehensive white paper that discusses why traditional approaches to measurement data collection are inefficient and error-prone without the ability to support IoT/ Industry 4.0. 

As energy becomes more expensive and sustainability more prized, manufacturers are under the gun to reduce energy consumption. Process monitoring, which standardizes and optimizes manufacturing processes— helps to make this possible in the age of Industry 4.0.

In line with Industry 4.0 objectives, many manufacturers strive to streamline their processes to quickly produce consistently superior products.

George Carlin once said, “Everybody smiles in the same language.” 

Digitalization has changed our world as the internet and modern technology continue to shape the manufacturing industry. For example, the vision of Industry 4.0 shows that production systems and machines are required to be flexible and adapt with continuously changing manufactured products. That means production will be more individualized, flexible, and faster. 

The L.S. Starrett Co. announced the introduction of DataSure® 4.0, an advanced wireless data collection system for acquiring precision measurement data. With unprecedented range and data security, multiple gateways, compact size and high speed, Starrett, a forerunner in the development of data collection solutions for quality control manufacturing applications, claims the system has taken data acquisition to a new level.

While early adopters found more promise than productivity, Industry 4.0 has finally come of age.

Quality and compliance are all about consistency and repeatability. Change is often seen as a risk. These are times of dramatic change, with a new digital manufacturing paradigm and ongoing pandemic both accelerating the rate of transformation.

An object hanging from a string, moving back and forth, is more than something used to entertain cats or hypnotize patients in old horror movies. It’s called a pendulum. 

Industry 4.0 represents the fourth and newest phase of the Industrial Revolution, one that is centered around interconnectivity, automation, machine learning, and real-time data.