MAR-APR 2017

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Determine what data is valuable to gather Decide the best way to capture data Digital transformation by acting on analytics Develop a security strategy for connectivity Give the customer the flexibility to distribute analytics 2 3 3 5 4 6 Define the business case for machine connectivity Improving equipment availability 1 30 INTECH MARCH/APRIL 2017 WWW.ISA.ORG Six steps to improving equipment availability for OEM machine builders IIoT gives machine builders an opportunity to improve customer satisfaction and profits By Jeff Brown I DC predicts that by 2018, one-third of in- dustry leaders will be disrupted by "digitally enabled competitors." To remain competi- tive, original equipment manufacturer (OEM) machine builders need to digitally transform themselves by embracing the Industrial In- ternet of Things (IIoT) and big data predictive analytics. According to a recent survey report conducted by the Aberdeen Group, "best-in-class" manu - facturing companies are increasingly using IoT and big data to address and improve their top operational challenges, including: l reducing unplanned downtime l improving overall equipment effectiveness l reducing maintenance costs l increasing the return on assets As the IIoT continues to evolve, there are more and more opportunities for machine builders to gain a competitive advantage to generate new revenue streams and improve their product de - velopment processes through the availability of real-time data. The vital focus is using this data to provide better service and support to the customer and improving equipment availabil - ity through remote monitoring and predictive maintenance models. When innovative OEMs embed IIoT technolo- gy into machines, remote personnel can trouble- shoot issues, change operating parameters, and oversee machine operation with supervisory con - trol to avoid possible problems. OEMs can now advise on-site engineers and operators on how best to solve a problem or improve performance. This type of expertise combined with multi-ten - ant real-time visibility into daily operating condi- tions can extend the lifetime of machinery and process equipment.

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