Production Machining

JUN 2018

Production Machining - Your access to the precision machining industrial buyer.

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Prepare for Industry 4.0 by Learning the Lingo Here are 12 Industry 4.0 terms to know. By Matt Kirchner CONTRIBUTOR Matt Kirchner is managing director of Profit360, LLC, a Wisconsin-based strategic advisor to U.S. Manufacturers; and is CEO of American Finishing Resources, LLC. Contact :: T he Fourth Industrial Revolution is well underway. In this new world of manufacturing interconnectivity and data analysis, manufacturers must build their knowledge and vocabulary of Industry 4.0 terms. As an example, one U.S. manufacturer now has 10,000 robots loaded with smart sensors and devices gathering data in real time, sending it through the plant's computer network to a data collector and up to the cloud every 15 minutes. Algorithms go to work, and the robots are to the point where they can predict their own future failure and order their own replacement parts before the failure occurs. Here are 12 terms related to Industry 4.0 that are helpful to understand. Industry 4.0: e term used to describe the fourth industrial revolution, characterized by the collision of operational technology and information technology as physical equipment becomes interconnected and intelligent. Smart Sensors and Smart Devices: Driving advance- ments, the sensors and devices used on manufacturing equipment now include embedded intelligence, enabling them to be programmed to make decisions without the need of a separate computer or programmable controller. ey then scrub data and send only the most pertinent information to plant computer networks. e result is that manufacturing decisions are now made on "the edge." e Edge: Smart sensors and devices that make their own decisions and exist on the edge of the plant computer network, saving bandwidth and expediting manufacturing decisions. Digital Twins: Computer models that gather infor- mation from smart sensors and devices and simulate a manufacturing process in a fashion identical to the process itself. Digital Twins can be used to test changes to the manufacturing process and predict future performance and downtime, avoiding line-down situations. "Informactionable" Data: It's a copyrighted term, and I own the copyright, but I knew when I heard the chancellor of a major polytechnic university use my term that I was onto something. IBM released a statistic not long ago that 90 percent of the data that exists today was created in the last two years. With the loads of data being collected by our manufacturing equipment, the problem of the future will not be a lack of data, but way too much of it. Being able to discern what data helps drive business performance and what doesn't will be key. Artificial Intelligence: We are moving to a time when our manufacturing processes will gather their own data and optimize themselves. Predictive Analytics: is means using data to predict future events (and avoid the bad ones before they ever take place). See the 10,000 robot example in my introduction. Augmented Reality: Strap on a pair of goggles and maximize productivity. An article on touts examples. Complete a complex assembly with the instructions magically appearing before you, analyze an electrical circuit while looking through the schematic; the applications are endless. Additive Manufacturing: It will be a while before 3D printers are used to manufacture end-use parts in volume, but their applications in manufacturing are becoming significant. Some companies now offer printers that produce super strong carbon-reinforced nylon, 17-4 stain- less steel and soon tool steel, titanium and Inconel parts. Robophobia: is is the fear that a robot will take your job. is is worth worrying about for workers who have a routine, unskilled job that a robot can perform less expen- sively, more reliably or more safely than the worker can. Cloud Architect: is is only one of dozens of new careers that will proliferate as a result of Industry 4.0. A six figure plus salary cloud architect oversees a company's cloud computing process. IIoT Armageddon: is is another term I came up with. e Industrial Internet of ings, aka Industry 4.0, is upon us. Manufacturing processes and technology will change profoundly in the coming decade. In this exciting era, there will be two types of manufacturers: those who embrace the change and those who no longer exist. ABOUT YOUR BUSINESS 24 PRODUCTION MACHINING :: JUNE 2018

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