Predictive Maintenance: A New Paradigm in Asset Management

Agenda

Agencies today face the challenge of maintaining operational readiness despite unprecedented budget pressures. Over the next 10 years, the US Department of Defense (DoD) expects to find nearly half a trillion dollars in savings, in part through “continued reforms and efficiencies.” These reforms often threaten to underfund standard asset maintenance procedures and ultimately reduce military readiness.

This problem may seem intractable because operating, maintaining, and managing assets throughout their lifecycle is inherently costly. Furthermore, this maintenance is crucial for many assets, because unplanned downtime has significant consequences for both financial and operational performance. Even a small delay in detecting a problem can result in large unexpected costs. In an environment where each asset must be maintained at the highest possible operational readiness, such outcomes are undesirable.

However, there is a solution. Smarter asset maintenance can maximize operational readiness while also controlling costs. For example, predictive maintenance goes beyond condition-based maintenance to forecast when an asset is likely to fail, based on usage, wear, and surrounding conditions. When implemented correctly, it improves overall operational efficiency by enabling a proactive response to prevent or minimize potential issues. In this seminar, we will explain this solution in detail and highlight how agencies are already reaping the benefits that such and approach can provide.







Predictive Maintenance Audio

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Washington D.C. - United States

IBM
600 14th Street, NW
Washington D.C.
United States

Agenda
Time Description
8:30 AM - 9:00 AM Continental Breakfast and Check-In
9:00 AM - 9:10 AM Welcome: Frank Stein, Director, Analytics Solution Center
9:10 AM - 9:55 AM An Overview of Predictive Maintenance
Ed Weber, Product Manager, Business Analytics, IBM Federal
9:55 AM - 10:30 AM Predictive Maintenance In Action at the Department of Defense
Bob St. Thomas, Delivery Executive, IBM Public Sector
10:30 AM - 10:45 AM Break - Light Refreshments Provided
10:45 AM - 11:45 AM Predictive Maintenance: Past, Present and Future
Ben Chard, IBM Senior Solutions Engineer
11:45 AM - 12:00 PM Conclusion: Frank Stein, Director, Analytics Solution Center

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