Why Technology Alone Will Not Solve Industrial Cyber Security Threats

Why Technology Alone Will Not Solve Industrial Cyber Security Threats

Know your adversary – this is surely one of the essential steps in any program to improve security? If you don’t understand the nature of the threat, whether it is a human threat such as warfare or, more topically, a natural threat such as the novel coronavirus, then you are not going to understand how to protect yourself adequately.

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Profit Driven Operation

Profit Driven Operation

KPI – Key Performance Indicator: very often we hear this word whenever we join management level meetings, technical meetings, during discussions with operation managers and operators, etc. Each of them has a different set of KPIs, but the goal for everyone is to provide maximum benefit to their manufacturing plant.

In 2019, after visiting more than 50 manufacturing plants, Yokogawa came up with the solution, PDO: Profit Driven Operation. Yokogawa designed this new concept by creating a metrics that connects Business KPIs with Operations KPIs. Not only was this metrics created, but also created was a Dashboard that easily depicts the pain points that need immediate attention.

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Towards Autonomous Operations of Hydrocarbon Processing – Part 1

Towards Autonomous Operations of Hydrocarbon Processing – Part 1

Yokogawa and KBC’s approach to the application of digital technologies is to work backwards from the business goals, constraints, best practices and users to define the Digitalization technologies and approach to deliver on business outcomes, rather than start with new technologies and look for places to apply them. Key to the progression towards autonomous operations is the combination of traditional automation technologies such as modular procedure automation, multivariable predictive control and process optimization with the latest AI and machine learning technologies.

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Visual MESA Production Accounting (VM-PA) for Planners to visualize the Supply Chain

Visual MESA Production Accounting (VM-PA) for Planners to visualize the Supply Chain

The purpose of any production accounting methodology is to obtain high quality data in a timely fashion. It should support the unique version of the truth for process decision making. A decision based on data, is not intuitive, it is cognitive. VM-PA is highly reliable and tested Production Accounting solution.

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Look, Listen and Feel on Digital Format through Field Assistant

Look, Listen and Feel on Digital Format through Field Assistant

The digital transformation of process plant field activities, such as an operator’s round, basic equipment care, predictive maintenance, etc. can benefit from using a digital Field Assistant. It improves safety, reliability, and efficiency. In addition, it helps teams to communicate seamlessly while working inside their individual departments or across the organization.

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Digital Twin - Corrosion Prediction and Digital Advisory System

Digital Twin - Corrosion Prediction and Digital Advisory System

Corrosion – it is a slow poison to plant equipment and pipelines. Its effects are often only apparent when the system has already sufficiently corroded, and destruction is either about to take place or already occurred.

Yokogawa Electric Corporation (here after will be referred as Yokogawa) and KBC (a Yokogawa company) developed a solution to this problem. Predict corrosion and inform plant people in advance so that operators can take corrective actions to avoid the disaster.

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Visual MESA Energy Management System optimizes the spending on Utility

Visual MESA Energy Management System optimizes the spending on Utility

Energy needs to be utilized well, otherwise it is wastage of natural resources and money. Yokogawa Electric Corporation and KBC (a Yokogawa company) work in this field of Energy Management System, so that Manufacturing units not only run their plant with highest efficiencies, but also save environment.

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Digital Asset Management

Digital Asset Management

Perhaps the most common application of machine learning in the process industries is to support predictive maintenance. Anomaly detection is widely used to identify equipment performance degradation much earlier than using traditional condition monitoring systems and data analytics. However, the use of artificial intelligence to improve reliability and reduce maintenance costs is still in its infancy.

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