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Planned vs condition-based vs predictive maintenance

The three most well-known approaches to maintenance are:

  • Planned maintenance - maintenance performed based on pre-determined intervals. Usually based on manufacturer recommendation from the OEM manual.
  • Condition-based maintenance (CBM) - maintenance performed based on the condition of machinery at a point in time.
  • Predictive maintenance - The planning of maintenance in the future based on historical condition and performance metrics.

Each have their place in an overall asset management strategy. Let's explore the pros and cons for each approach in the table below.


Planned maintenance

Condition-based maintenance Predictive maintenance
Definition Maintenance conducted based on pre-defined intervals (usually from OEM)

Maintenance conduced based on the condition of machinery at a point at which readings reach Maintenance work scheduled at some point in the future based on long term analysis of data
Required technology Planned Maintenance System (PMS)
  • PMS
  • Condition monitoring software
  • Machinery monitoring sensors/hardware
  • PMS
  • Condition monitoring software
  • Machinery monitoring sensors/hardware
Benefits
  • Reduces failures
  • Easy to implement
  • Compliance
  • Maintenance is performed as needed
  • Reduces maximum amount of downtime
  • Reduces maintenance costs
  • Maintenance is performed as needed
  • Future issues predicted
  • Reduces maximum amount of downtime
  • Reduces maintenance costs
Drawbacks
  • Risk of over-maintenance
  • Maintenance induced failure
  • Requires change management
  • Requires change management

As technologies continue to develop at a rapid rate and the vessel digitalisation journey continues at pace, both condition-based and predictive maintenance are going to become more easily accessible to the majority. Therefore, these approaches will be of greater importance to achieve a competitive advantage.

The growth of AI and big data solutions in recent years means the extensive data sets produced by vessels are now more easily collected and analysed to transition from planned maintenance to condition-based/predictive maintenance.

Certain assets will still suit the traditional planned maintenance approach. Usually these are low value, low criticality assets. This means when building out an asset management strategy, it is important to effectively define which assets will suit which maintenance approach. Read our top five considerations for implementing an effective CBM strategy.

James Fisher Mimic has been delivering condition-based and predictive maintenance solutions to support ship owner and operators asset management strategies for over 30 years. Crude Oil, LNG, bulk tankers, cruise ships and navy vessels all benefit from Mimic solutions. The fundamental technologies required are largely the same, it is how you use the data acquired that impacts whether you are performing condition or predictive maintenance. Whichever approach you select, be assured both will deliver significant benefit to your ships, people and business.

To discuss your maintenance strategy further, contact the team.


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