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Increasing productivity in heavy industry processing plants with advanced analytics

Vendor

Vendor

McKinsey & Company

Company Website

Company Website

Product details

Increasing productivity in heavy industry processing plants with advanced analytics

Processing plants are complex, with intricate, non-linear interactions across thousands of variables and multiple trade-offs to solve for. Operating decisions are typically made through process control tools solving for a local optimization, or are based on an individual operator’s experience, which can vary significantly. Amidst this complexity, technology generates enormous amounts of data across the value chain. When used to its full potential, data can drive productivity improvement and help plants achieve optimal results. Capturing value from advanced analytics requires multiple skillsets, such as data science, process control and metallurgy, IT, change management, and capability building. OptimusAI leverages a full portfolio of digital solutions that combines science, data, and experts to help processing plants in heavy industries make data-driven decisions to improve profit per hour.

Our approach

Our tried and tested approach to advanced analytics brings together a robust delivery process with a collaborative team of specialists—both supported by proprietary technology and products.

People

We bring a mix of data science, process control, operations, and design expertise, with hands-on experience in applying advanced analytics to improve processing.

Process

With our focus on processing, we have developed a standard recipe for deploying high-impact solutions efficiently and sustainably. We help organizations move quickly to capture impact while building capabilities for long-term success.

Technology

Our proprietary capability develops control room advisor systems to improve processing performance. OptimusAI uses state-of-the-art data science to optimize performance in the context of thousands of variables, and includes an easy-to-use interface to process recommendations.

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