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Chad Stoecker SOFTWARE UPDATE NEWS ABOUT DIGITAL MANUFACTURING TOOLS AND SOFTWARE


Data-Driven Predictive Analytics Can Transform Plant Engineering


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Manufacturing Engineering: How important is machine monitoring/plant diagnostics and the Industrial Internet of Things [IIoT] for manufacturing productivity? Chad Stoecker: It used to be enough to rely on alarms and trips to start the maintenance and troubleshooting pro- cess in a plant. This is a reactive process that results in pro- duction losses and expenditure of unnecessary maintenance dollars. Today, most industries want more effi cient solutions. Plant personnel can use data to determine when equipment problems start, instead of waiting until the asset is offl ine or has approached an alarm limit. Acting early will help compa- nies have the time to make better economic decisions. Also, there are some companies that have a tendency to do things the way they have always done them. They might not yet understand the value of data-driven maintenance programs. However, the industry is moving away from maintenance based solely on the recommendations of the OEM that sold the equip- ment or time-based maintenance intervals. Those companies that are able to move to data-driven programs will realize signifi - cant performance improvements and fi nancial savings.


And, all areas of the plant are going to be data driven. Maintenance and reliability engineers can determine what maintenance to take and what maintenance actions can be avoided. Process and operations personnel can use data to determine the most effi cient way to run the plant and what activities are costing the company money. Business executives can use data to make better decisions related to the demands they get from the market. Data analytics can transform the plant from end to end.


20 AdvancedManufacturing.org | June 2016


ME: What types of predictive analytics is GE Digital’s Industrial Performance and Reliability Center [IPRC] currently using for improving machine reliability, uptime, etc.? Stoecker: Our solutions leverage the latest in cutting edge data analytics techniques and we support our solutions with industry experts with decades of reliability engineering expertise. GE’s digital industrial software has decades of expertise built into the software from industry subject matter experts and data scientists. This expertise enables plant engineers to take advantage of GE’s collective experience with equipment to make better decisions, without having to be a data scientist. We believe that software and analytics empower people to make better decisions. ME: What specifi c software applications are associated with IPRC’s analytics efforts, and how are they used? Stoecker: Asset Performance Management [APM] soft-


ware, like the Predix-based solution GE offers, have end-to- end capabilities that allow companies to switch more easily to a more data-driven program by focusing on their particular problem area. GE offers starter kits to allow companies to


“Data analytics can transform the plant from end to end.”


experience this new way of doing maintenance, and GE of- fers consulting services to help companies plot their course moving forward in the Industrial Internet. It is important to recognize that companies can get a lot of


value from their existing sensors by using predictive analytics technologies. Companies can increase uptime and reliability with sensors they have already installed. In addition, predictive analytics solutions, like our new APM solutions powered by Pre- dix, will make recommendations about which sensors should be


Leader, Managed Services GE Digital, IPRC (Lisle, IL) www.ge.com/digital/


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