InTech

MAY-JUN 2019

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INTECH MAY/JUNE 2019 23 imperative that is not going away. Digitalization is the scalable application of the digital tech- nologies and alignment of the organizational capabilities that we believe an energy or chemi- cal process operation should have and master with digital information at the core in order to achieve excellence. All the emphasized words matter. Applied correctly, digitalization allows a process plant operator to not just manage day-to-day per- formance of the plant safely and reliably, but also to anticipate and respond to swings in market dynamics. Plant personnel become implementors and supervisors of strategy, rather than number- crunchers or tacticians. Digitalization ensures that the plant will operate at its true optimum, squeezing down on the gap between potential and realized margin. Better and faster decisions will be made, outmaneuvering competition. For many beginning their digitalization journey, there is a strong pressure to deliver something big using one of the latest buzz - words—Industrial Internet of Things, Industry 4.0, cloud, edge, big data, or analytics. Propo- nents of this input-oriented approach risk ap- plying technology for the sake of technology, without realizing its true value. Here, we look FACTORY AUTOMATION FAST FORWARD ● Every software initiative in the energy and chemical industry is now tagged with the name "digitalization." ● The goal is operational excellence, leveraging new technology. ● Digitalization gives process plant operators the opportunity to anticipate and respond to swings in market dynamics to outmaneuver competition. at outcomes; we explore how digitalization can deliver and sustain true value to the energy and chemical industry. Sticking to the map All digitalization initiatives lie somewhere on the journey shown in the map image on the next page. For any initiative to be successful, no mat- ter where it lies on the journey, the earlier stag- es must already have been accomplished. For example, most analytics projects ("situational awareness" ambition) fail due to poor data quality (lack of "readiness"); most advanced controls ("operational execution" ambition) are turned off (a sure sign of failure) because their strategy or constraints are not up to date (poor "situational awareness"), so the operator can do better. Let's explore each part of the journey.

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