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.
Picture a plant floor that is updating operators, managers and even other plants about potential machine problems. It would connect one machine to another and one system to the next. In order to maintain the highest quality, the systems would monitor any data that seems out of order or check on the line in process.
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