Embracing Digital Transformation in Manufacturing: A Journey to Efficiency and Innovation

Embracing Digital Transformation in Manufacturing: A Journey to Efficiency and Innovation

Join us as we explore the journey of a Singaporean manufacturer who partnered with Yokogawa to enhance operational efficiency. From assessing digital readiness to implementing a stable data foundation and a digital energy monitoring solution, discover how they achieved remarkable improvements in performance and sustainability.

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The Importance of Safety Culture

The Importance of Safety Culture

A true safety culture does not just mean managing and mitigating hazards and behaviour, it should ensure that the methods used to enable it to happen leave the workforce feeling positive about themselves and empowered to undertake their maintenance tasks confidently and safely. 

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Let the benefits of the Cloud rain down

Let the benefits of the Cloud rain down

The cloud can transform the worlds of IT and OT and the possibilities of the cloud have gained momentum among manufacturers alongside other trending technologies, such as AI, edge computing, and virtualization. But to unlock the full potential of cloud computing, leadership must first recognize its benefits.

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The Mechanisms for IT/OT Convergence

The Mechanisms for IT/OT Convergence

At an industrial scale, the amount of data just described can quickly become overwhelming since there are often thousands of sensors and instruments, with each one sending their individual streams that can combine into a torrent. This is operational technology (OT) data, but we depend on information technology (IT) techniques to put it to work, hence the IT/OT convergence. The two sides must be blended together if the data is to become useful.

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Plant Historian: Core of your Digital Transformation

Plant Historian: Core of your Digital Transformation

The pace of digital transformation is accelerating, delivering benefits from increased profitability, reduced costs, and higher productivity. In his latest blog, Nick Cross examines how Exaquantum Plant Historian is enabling companies to generate growth from plant data and is at the forefront of digital transformation.

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The Lean and Mean Trap

The Lean and Mean Trap

In recent times, there has been a shift to transforming manufacturing and production facilities into lean and mean organizations, leading to a relatively small team responsible for production. In the manufacturing world, to achieve optimal outcomes, it is necessary to expand capacity, avoid downtime, and find ways to save money while maintaining safety. But is there such a thing as becoming too lean?

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Can you Rationalize Risk?

Can you Rationalize Risk?

In his latest blog, Marcel evaluates ‘The Commodity Trap’, and its relevance to the Digital Transformation journey. When faced with the understanding and application of Digital Transformation, most customers have never encountered such a complex and technical changes before. Can you rationalise risk?

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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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Data Integration and Knowledge Management in the Process Industry

Data Integration and Knowledge Management in the Process Industry

Digital systems were first widely implemented in the process industries in the 1970`s. Since then there has been a sea of process data and a proliferation of databases and many attempts to integrate them using data warehouses, middleware and web services. Most of these attempts have had limited success and are difficult to maintain and scale.

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