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"High" Performers
A statement, that is qualitative and/or quantitative, on the results of a single asset or a single building when compared to others in the same class.

1. In reference to an
 asset, the asset achieves a service life that is greater than the modal year on the probability distribution when compared to all assets of the same class (equal life group).

2.  In reference to a building, the reinvestment funding requirements are lower than the average of all the buildings in the statistical population as a  result of factors such as durable products, lower exposure conditions and good maintenance standards.

Listed below are some of the attributes of "high" performer asset scenarios:
Listed below are some of the attributes of "high" performer building/facility scenarios:
  • The capital load over the planning horizon is lower than the average for other buildings of the same class

Included below are some examples of "high" performer scenarios relative to asset performance:
  • The average 2-ply SBS roof achieves a service life of 25 years but our roof has lasted 28 years. It is therefore a high performer.
  • Our boiler continued to provide good service for 20 years, which is 5 years beyond the average service life for that type of boiler.

Listed below are some of the reasons why an asset will exhibit "high" performer characteristics:
  • Lower exposure conditions.
  • High quality materials
  • Good quality maintenance and care of the asset over its service life.
  • Diligent stewardship on the part of the owners, managers and operators


Understanding of high performers requires analysis relative to the following statistical concepts

Management Principles
Included below are some of the asset management principles to be considered in relation to high performer assets
Bell curve indicating the percentage of performers along the probability distribution.   Three performance classes along a right-modal survivor curve.  
Fig. Left: Performance along a symmetrical curve; and Right: Three performance classes along a right-modal survivor curve.

Fig. Curve indicating the impact of maintenance on the service life of assets.

Survivor curve with an overlay of the PF interval to correlate the generic class to the local circumstances
Fig. A generic survivor curve overlaid with the points of potential failure (P) and functional failure (F) of the same asset at two buildings to draw the correlation between the maxima (the class) and the minima (the site conditions). Building B has the high performer asset.

The "high" performers identified on a scatter plot
Fig.  The "high" performers identified on a scatter plot.

Some explanations where certain facilities occupy outlier positions and are classed as "high" performers
Fig.  Some explanations where certain facilities occupy outlier positions and are classed as "high" performers on the age-reinvestment matrix (below the average trend line).

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