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Maximize asset productivity and operational performance

Published By: IBM
IBM
Published:  Dec 02, 2014
Length:  12 pages

In a recent Aberdeen Group Analyst Insight report,1 Asset Management: The Changing Landscape of Predictive Maintenance, a survey of executives states that the number one risk to operations was failure of their critical physical assets —ensuring that they are available, reliable and performing as originally intended. Though, such a risk can become an opportunity. Top-performing companies rely on analytics related to maintenance, safety and replacement equipment to plan for capital expenditures, manage their assets on a daily basis and maximize asset performance.

Today, forward-looking organizations rely on predictive maintenance to go beyond preventive and regularly scheduled maintenance to ensure asset performance and production quality. Overall operational costs are reduced by minimizing asset downtime and improving the efficiency of their operational processes. In this white paper, you’ll learn about predictive maintenance, its relationship to quality, the specific benefits gained by organizations and how IBM Business Analytics software makes it possible.



Tagsasset productivity, operational performance, predictive maintenance, operational costs, it management, knowledge management, enterprise applications, business intelligence