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Asset Management, CBM and PdM Systems

In any asset-intensive Enterprise, the costs in the organisation are dominated by the cost of maintaining the asset base. The maintenance strategy may dictate that one or more factors are key in the strategy. These include Performance, Availability, Safety, Cost, Efficiency, Compliance and Reliability. Anything that gives an edge in the maintenance and operations support fields will enable the Enterprise to perform to meet its business objectives. Choosing the right asset management software is critical.

The typical benefits achieved in adopting an Enterprise Asset Management (EAM) system are:

  • Productivity enhancements of 10-20%
  • Inventory reductions of 15-35%
  • Reduced downtime of 10-20%
  • Reduced breakdowns by as much as 50%
  • Increased equipment availability of 15-30%
  • Reduced maintenance costs of up to 30%
  • Increase effective equipment life by 10%

 

Given that over 50% of EAM system implementations do not meet their objectives, it is vital that the system you choose supports the efficiencies you are trying to achieve. Our approach involves you in the design of the system, with early training and engagement to ensure that you will be able to operate and maintain your new system to deliver real benefits to your Enterprise.

An asset management system will support a move from Reactive to Planned maintenance, saving time and money on Operations and Maintenance. However, Planned Maintenance still means that assets are being over-maintained to achieve a certain level of Reliability and Availability. Moving to Condition-Based Maintenance and Predictive Maintenance offers the biggest step improvement in cost and advanced technologies are required to achieve this.

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Our approach also supports two key advanced technologies:

  1. Condition-Based Maintenance – the first step in moving to a fully pro-active maintenance strategy involves assessing how hard an asset is working. This allows the Enterprise to move towards a needs-driven maintenance strategy by raising work requirements when, for example, a switch has operated a set number of times, or a specific temperature has been exceeded or a motor has been running for more than so many hours.
  2. Predictive Maintenance – the second step in moving to a pro-active strategy. This enables the asset owner to identify when a machine might require maintenance by extracting intelligence from operating parameters. For example, a failing bearing might show up as noise at a resonant frequency in the electrical power connected to the machine. Another issue could be a turbine blade deteriorating where maintenance could prevent a failure. Taking a machine out of service for maintenance at a suitable time is far more effective than run-to-failure, saving unplanned down-time and lost availability.
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Unit 2, Block 2, Waterfront Business Park, Little Island, Cork, Ireland
Phone: +353 (0)21 4355200
Fax: +353 (0)21 4355220
Email: sales@ongautomation.com