Digital twin solutions are emerging throughout smart factories everywhere. Virtual replicas of factory floors provide real-time information about processes, system health, performance and more. But why not apply digital twin methodology in other manufacturing stages, such as quality control?
Manufacturers are already producing data. For organizations to get full value from that information, they should choose a Statistical Process Control (SPC) solution that configures notifications, automatic alarms, emails, and process alerts.
July 12, 2022
A contemporary approach to statistical process control (SPC)—using real-time quality data—can help manufacturers reduce scrap, comply with regulations and standards, and meet customer requirements.
As manufacturers worldwide seek to enhance their machines and equipment with online connectivity—an example of the Industrial Internet of Things (IIoT)—they are realizing this technology’s remarkable potential. I
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.
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.