MAY-JUN 2018

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16 INTECH MAY/JUNE 2018 WWW.ISA.ORG Profitable and reliable operation depends on optimizing related process variables, which can be achieved by control room opera- tors leveraging DCS domain knowledge and big data By Yasunori Kobayashi I n today's competitive environment, process industry companies are focused on two key objectives: profitability and delivering value to customers. However, these objectives are of ten disparate goals not aligned across depart- ments, plants, or enterprise boundaries. Disconnected, outdated methods of report- ing and inconsistent metrics make it nearly im possible to get a holistic view of performance drivers. Information is often available only after the fact and lacks contextual knowledge, which leads to poor decision making. To address these and other issues, many com- panies use C-level key performance indicators (KPIs), such as costs, margins, and incidents. Unfortunately, the KPIs used by C-level execu - tives (CEOs, CFOs, etc.) frequently do not match up with those used by engineering and opera - tions personnel. They typically have their own set of KPIs, often generated independently to maintain safe and stable plant operations. Additionally, factors like integrity operating windows, plant constraints, and economic con- ditions can affect KPI prioritization and op era- tions. Adding to these challenges, experience and competency are declining due to retirement of key personnel, especially control room oper- ators. This situation can be addressed and recti- Optimizing related process variables to improve profitability

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