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referred to as the "Condition-Age Correlation" or "FCI-Age correlation.
A matrix that plots the relationship (correlation) between the condition and age of facilities (or assets) on a scatter plot.
Analysis on the condition of a facility, using the Facility Condition Index (FCI) correlated at different age categories and at different stages in the facility lifecycle model.
The primary purpose of the condition-age correlation is as follows:
The condition-age matrix is comprised of two dimensions, as follows:
The Four Quadrants
Listed below are the four quadrants that make up the condition-age matrix:
Listed below are the key steps in the methodology to derive and analyze the condition-age matrix:
If it is assumed that there is a direct correlation between condition and age, then the facilities will likely adopt a Clayton Copula pattern across quadrants 3 and 2.
Listed below are the five patterns that may potentially be discerned in the scatter plot data:
Listed below are some of the merits and advantages of the condition-age matrix:
Included below are some of the asset management principles to be considered relative to facilities in different locations on the condition-priority matrix:
Fig. Facility life cycle stages represented on the vertical (y) axis of the condition-age matrix. Younger facilities at the bottom and older facilities toward the top.
Fig. Illustration of how the Facility Condition Index (FCI) is generated for facilities to develop the horizontal axis of the matrix.
Fig. The four quadrants of the condition-age matrix with relative condition along the horizontal axis and relative age along the vertical axis.
Fig. Scatter plot of the assumed direct correlation between age and condition, which does not always bear out in reality.
Fig. The model of five life stages of non-residential buildings, which is part of the vertical (y) axis of the condition-age matrix.
Fig. A sample condition-age matrix for a large portfolio of facilities from different departments (identified by colour coding).
Fig. A condition-age matrix with a trend line revealing a straight line correlation to year 40 and then a strong move towards reinvestment.
Fig. A condition-age matrix comparing the status at base year and condition drift a few years later.
Fig. A condition-age matrix for each of the separate departments within the organization to enable planning for each occupancy group.
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