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Data-Driven Maintenance Planning Saves $1.8 Million USD Per Year in Shutdown Costs

A global provider of knowledge-based maintenance, modifications and asset integrity services wanted to take a more data-driven approach to planned maintenance and reduce unplanned downtime to optimize lifecycle costs.



Download this case study to learn how the company used asset performance management to identify the factors influencing furnace fouling at a Netherlands plant, ultimately saving $1.8 million in shutdown costs. 
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Unplanned downtime has wide-ranging impacts that affect more than just a plant’s productivity and profitability. Forced shutdowns also have a major impact on plant and personnel safety, as well as greenhouse gas emissions and environmental compliance. But what if you could actually plan for downtime?

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Data-Driven Maintenance Planning Saves $1.8 Million USD Per Year in Shutdown Costs

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Data-driven maintenance planning saves $1.8 million USD per year in shutdown costs

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