Improving Quality with PlantWeb 

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A major source of quality problems in plants, mills, and refineries is process variability. PlantWeb architecture helps you reduce off-spec product and other quality problems by using its predictive intelligence to reduce process variability. The paper describes how PlantWeb can improve quality by:

• Keeping equipment performing at its best
• Enabling better control
• Maximizing these advantages over the life of the plant

 Improving Availability with PlantWeb 

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PlantWeb architecture, with its predictive intelligence, can help you improve plant availability. The paper describes how PlantWeb

• Helps you detect and correct conditions that can lead to equipment failure or process upset - before they result in unplanned downtime.
• Helps you improve control and maintenance, for shorter, less-frequent planned downtime and faster startups after shutdowns.

 Improving Throughput with PlantWeb 

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Most plants can increase throughput by running closer to what the process and equipment are capable of, taking advantage of capacity previously hidden by less-than-optimum performance. The digital intelligence integrated into every level of PlantWeb architecture enables you to improve throughput.

Reducing Operations and Maintenance Costs with PlantWeb

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PlantWeb digital plant architecture helps you meet the challenge by reducing operations and maintenance costs and by increasing your team's productivity as much as 67%.

• PlantWeb's predictive intelligence enables you to increase maintenance productivity by detecting and diagnosing potential equipment problems before they grow
• The architecture's information integration and easy-to-use control and optimization capabilities enable operators to expand their span of control and run the process at the most economical and profitable operating points.

Optimizing Safety, Health & Environmental Compliance with PlantWeb

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The top priority in any plant is maintaining operational Safety, Health, and Environmental compliance. With PlantWeb, you can predict and prevent abnormal situations instead of simply reacting to them.

This paper describes how PlantWeb uses predictive intelligence and information integration to

• Maintain mechanical integrity by detecting, predicting and preventing the equipment failures that lead to process upsets
• Improve operational procedures based on reliable intelligence, and reduce risk to personnel
• Streamline regulatory compliance through automatic documentation of maintenance and engineering activities