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The best wireless data collection systems can dramatically increase productivity, remove the potential for errors, provide complete documentation and automate the data acquisition process.
The Internet of Things (IoT) and, in a broader sense, the Fourth Industrial Revolution (Industry 4.0) is the omnipresent new paradigm in manufacturing today, profoundly affecting the way manufacturers are operating or are planning to operate.
Manufacturers can unearth valuable insights from test data from various sources by employing statistical algorithms and machine learning to establish patterns and predict future outcomes and trends.
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.
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.
When a process is totally automated and integrated into the internet of things (IoT), we are only able to ensure that the right product is manufactured through quality control by showing the elemental composition of incoming and outgoing materials using the most modern and latest spectrometer technology.
The Internet of Things (IoT) is the new standard in manufacturing today, deeply affecting the way manufacturers operate. Improving Overall Equipment Effectiveness (OEE) is crucial to IoT. Optimizing OEE requires accurate, up-to-date data across an entire organization, including measurement and test information from both quality labs and the shop floor.
Consumer products have been transformed by the Internet of Things (IoT), the ability of smart connected devices to communicate and share information with each other. Now, IoT technology is expanding to NDT maintenance inspections and manufacturing QA/QC.
For decades, quality, low cost, and on-time delivery have been the primary demands of manufacturing customers. Recently, a new demand has been added to the mix—speed. Customers still want a quality product delivered on-time at a fair price. Only now they want it faster.
Quality 4.0 derived from Industry 4.0, also known as the fourth industrial revolution. Prior to the fourth revolution, the first revolution started with machine manufacturing, steam power, and the move to cities by agriculturalists.
At the end of the day, nothing matters more than customer satisfaction. Fundamentally, this sounds quite simple; make the customer happy, and all is well. Keeping customers happy and loyal to your brand, however, is not as easy as it sounds.
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.
