The U.S. manufacturing industry’s skilled labor shortage has been widely reported in the past decade. Millions of jobs became vacant due to the retirement of baby boomers and economic expansion.

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. 

Netilion Health visualizes the diagnostic data provided by an instrument and receives instructions to address the issue. This improves the ability to respond in cases where maintenance or service is required.

The cornerstone of every manufacturer’s success is the ability to shift gears from one product generation and business model to the next while finding new ways to excel at quality.

In a lean manufacturing process, a poka-yoke method is employed to eliminate product defects by preventing, correcting, or drawing attention to human errors in real time. Industrial engineer Shigeo Shingo first applied the term poka-yoke (“mistake-proofing” in Japanese) to the Toyota Production System. 

Data collection on the factory floor can be a challenge. Even the smallest enterprise can generate massive amounts of data, and collecting this data is only a first step on the path to a successful IIoT project.

You probably have data you didn’t even know you had—data that holds valuable information. You just need a way to reveal that data and uncover what it can do for you. That’s where enterprise visibility comes in.

Automation technology has leveled the manufacturing playing field. Now smaller firms can be nimble, niche, and with new efficiencies compete against the big guys.

Wireless solution providers must overcome ROI and KPI requirements to build scale across multiple use cases.

The partnership aims to assist automakers in improving production efficiency through the implementation private IoT networks.