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Industry 4.0: the Key to Continuous Improvement in the Future of Manufacturing - Itac

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Industry 4.0: the Key to ContinuousResurgencein the Future of Manufacturing - Itac Main Menu Itac Delivering Results to New York City Manufacturers for Over 25 Years HOME ABOUT US WHAT WE DO SEVEN WAYS WE DELIVER VALUE SEVEN AREAS OF EXPERTISE RESULTS TEAM NEWS & EVENTS NEWS INSIGHTS EVENTS DOWNLOADS CONTACT OPS21 MFG Day 2018 Home Return to Content Industry 4.0: the Key to ContinuousResurgencein the Future of Manufacturing November 20, 2018 | Insights Measuring and evaluating what’s going on in production is an important part of the job for manufacturing engineers. The right metrics can predict imminent failures, locate inefficiencies, and create opportunities. Continuous resurgence is the goal of every business, and without analytics-driven insights, it’s anybody’s guess where improvements are needed. Analytics are untellable without reliable data but collecting production data and making it useful are two major challenges for today’s manufacturers. The solution to both of those challenges lies in that troublemaking buzzword of manufacturing, Industry 4.0. A succinct way to describe the fourth industrial revolution is this: Digital technology has now been virtually for a while, and Industry is whence to learn how to unlock its full potential. As a result, the way merchantry is washed-up is transforming. John Kawola, president of ingredient manufacturing visitor Ultimaker, agrees: “The digital age has moved into manufacturing and is starting to have a real impact. That’s once happened—whether it’s robotics, tools, sensors or IOT technology that keeps track of everything in an streamlined way.” Challenge: Collecting Big Data from Production Equipment In today’s industrial equipment market, connectivity has wilt necessary. “For machine builders, it’s no longer a differentiator to have connectivity. You have to have connectivity to be successful in the market,” said Daymon Thompson, product manager at Beckhoff Automation. That’s a good thing. The downside is that the standards and protocols enabling that connectivity are proliferating. MTConnect, OPC-UA, and dozens of proprietary standards are in use. In addition, nearly every machine builder is seemingly getting into the software game as well, offering proprietary dashboard analytics software to help users view and track machine data. The problem with these differing standards and software tools are that many of the manufacturing operations out there do not only have one trademark of equipment. A shop may stick with Okuma for CNC mills, but prefer Doosan for turning centers, for example. On top of that, factory automation is often built by flipside party altogether, and may not plane be equipped with sensors measuring things like motor temperature. In addition, equipment may be located wideness multiple facilities or plane countries. How can data be placid in a internal and orderly malleate from such disparate systems? A key part of industry 4.0 is the industrial internet of things (IIoT). The technological path to IIoT began decades ago, with the primeval feedback tenancy systems.Today, third-party IIoT system vendors such as Siemens Mindsphere, PTC Thingworks and GE Predix requite customers a platform to connect all their data to. These platforms are designed to intake the variegated types of data flowing from variegated equipment and sensors and allows the data to be internal and organized so that it can be analyzed and monitored. Allen-Bradley Series 9000 Diagnostic Sensors provide both a visual and electrical indication of a dirty lens condition.Flipsidecomponent of the IIoT is the “things.” Today’s machine builders know connectivity is important, and so do the manufacturers of motors, drives, and instruments. Smart devices can connect to a factory network, sending data directly to the IIoT platform. For example, a smart sensor such as the Allen-Bradley Series 9000 Diagnostic Sensors can snift when its lens is collecting dust, providing a visual and electrical indication. This data can enable maintenance personnel to wipe the lens surpassing the sensor fails, preventing downtime. “Big data doesn’t help anyone,” said Ramona Schindler, merchantry minutiae manager at Siemens Mindsphere. “You have to make big data smart.” Making big data smart is challenging. In general, machine data can be grouped by frequency. A machine sending low-frequency data may report information such as power state and which program is running. Machines can moreover send high-frequency data. For example, a laser-sintering metal 3D printer may report sensor data on laser melt pool temperature every tenth of a second. One issue that arises is often known as “data inundation”: You’ve generated a haystack of normal condition data, and now you have to find the needle that signals an unwont condition.Once data is internal on a platform, it can be imported into analytics applications that run on the platform, keeping everything in one place. Some platforms support applications ripened by customers, for those who want to develop a proprietary tool. Most vendors offer apps built for variegated types of data. To requite a specific example, Siemens MindSphere offers an app tabbed Manage MyMachines, which runs on the platform, permitting users to exhibit and manage a global squadron of machines and execute and view analytics on that data. Industry 4.0 is enabling largest wangle to the valuable data production processes generate. With largest wangle to data, manufacturing professionals can analyze, predict and manage production increasingly powerfully and profitably. Read the full vendible in Engineering.com Success StoriesDamascus Bakery Inc.Wonton Food Inc.MakerBot IndustriesGo to Success StoriesNews & InsightsBeyond Industry 4.0: Getting To Tomorrow’s Manufacturing Solutions TodayNovember 30, 20182018 Skills Gap in Manufacturing StudyNovember 15, 2018From Rust Belt to High-Tech: 3 Pitfalls on Your Way to TransformationNovember 6, 2018Go to News & InsightsEventsManufacturing Day 2018August 30, 2018Ops21 Awareness Workshop 13: Digital ManufacturingJuly 5, 2018Ops21 Awareness Workshop 9: Digital ManufacturingJuly 5, 2018Go to Events SUBSCRIBE Name First LastVisitorNameEmail SOCIALTWITTERFollow @NYCITAC Tweets by nycitac ADDRESS NYC ITAC500 7th Avenue, 8th Floor New York, NY 10018 This website was designed by slam.studio FUNDED BY