It is time to listen to your assets!
Optimization is necessary for a successful business. With the constant technology growth and the use of AI and advanced analytics, the knowledge of your asset health in real-time is a big part of that success.
THE BIG PICTURE
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40 %
of costs are spent on assets with negligible effect on uptime failure
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30%
of maintenance activities are carried out too frequently, without proper control
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45%
of all maintenance efforts are ineffective, because of the lack of information
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AND YET
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40%
of organizations are not using any form of predictive maintenance
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23%
of organizations that are using predictive maintenance integrate work order systems
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99%
of the data collected from sensor-enabled assets goes unused
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So, what is the answer to optimizing your time, money and resources?
Predictive maintenance. By using data and analytics to make better decisions, you can reduce downtime and minimize operational risk. In the future for certain assets, you can build on this capability to monitor conditions in real-time, trigger maintenance actions, and provide prescriptive repair advice to ensure the right fix the first time.
Predictive maintenance, part of the IBM Maximo Asset Performance Management (APM) helps maintenance managers predict the likelihood of future failures and determine asset failure factors that could impact plant or business operations.
It focuses on the needs of reliability engineers to identify and manage asset reliability risks that could adversely affect plant or business operations. It enables organizations to apply machine learning and analytics to operational data generated by critical assets. Via these capabilities reliability, manufacturing, operations, and maintenance personnel in asset-intensive industries can:
- Quickly assess the performance of critical assets to help plan and prioritize maintenance needs
- Determine which assets are being over-, under-, or well-maintained and use prescriptive analysis to optimize maintenance practices
- Identify operational factors that positively and negatively affect asset performance; use this information to guide maintenance strategy
- Examine the performance of assets, including attributes, risk factors, maintenance logs, and predicted time to failure; use detailed insight to prescribe maintenance strategies
Today's primary challenge is not only to react to the asset failure but to foresee when the service needs to be done or when the failure is expected to appear. This preventive oriented maintenance strategy with early detection of asset conditions helps to save companies a lot of time and money.
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