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Condition-Age Matrix
Also 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.



Purpose
The primary purpose of the condition-age correlation is as follows:



The Variables
The condition-age matrix is comprised of two dimensions, as follows:
  • The horizontal axis - this is represented by the Facility Condition Index (FCI).
  • The vertical axis - this is represented by the age of the facilities organized into the five lifecycle stages.
The horizontal (x-axis) is comprised of the following condition grades:
The vertical (y axis) is comprised of the following age classes:
FCI (x) - Age (y)



The Four Quadrants
Listed below are the four quadrants that make up the condition-age matrix:
  • Old buildings in good condition (Quadrant 1)
  • Old buildings in poor condition (Quadrant 2)
  • Young buildings in good condition (Quadrant 3)
  • Young buildings in poor condition (Quadrant 4)


Methodology
Listed below are the key steps in the methodology to derive and analyze the condition-age matrix:
  • Conduct a facility condition assessment (FCA) to establish the condition of the facilities and plot the FCI distribution along the horizontal (x) axis.
  • Establish the age of each facility and organize this into the five lifecycle stages. Plot these along the vertical (y) axis).
  • Plot the correlations of age to condition on the matrix.
  • Establish the date of the matrix
  • Identify the number of facilities in each of the four quadrants.
  • Identify the copula to match the pattern on the matrix.
  • Determine the target quadrants for each facility.
  • Review against the data in other matrices, such as condition-priority matrix.


Analysis
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 concepts to be used in analysis of a condition-age matrix:
      B. Elements of the patterns

Evaluation
Listed below are some of the merits and advantages of the condition-age matrix:
  • An intuitive and helpful representation of data.
Listed below are some of the limitations of the condition-age matrix:
  • There is no clear correlation between age and condition.
  • Different parts of the same facility may be of different ages making it difficult to draw a direction comparison.
  • A simple bi-variate analysis that lacks more detailed insight to make informed decisions.


Management Principles
Included below are some of the asset management principles to be considered relative to facilities in different locations on the condition-priority matrix:
Facility life cycle stages represented on the vertical (y) axis of the condition-age 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.


Illustration of how the facility condition index is generated for facilities to develop comparative analysis.
Fig. Illustration of how the Facility Condition Index (FCI) is generated for facilities to develop the horizontal axis of the matrix.


The four quadrants of the condition-age matrix
Fig. The four quadrants of the condition-age matrix with relative condition along the horizontal axis and relative age along the vertical axis.


Scatter plot of the assumed direct correlation between age and condition, which does not always bear out in reality
Fig. Scatter plot of the assumed direct correlation between age and condition, which does not always bear out in reality.


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Fig. The model of five life stages of non-residential buildings, which is part of the vertical (y) axis of the condition-age matrix.



A sample condition-age matrix for a large portfolio of facilities from different departments
Fig. A sample condition-age matrix for a large portfolio of facilities from different departments (identified by colour coding).


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 with a trend line revealing a straight line correlation to year 40 and then a strong move towards reinvestment.


A condition-age matrix comparing the status at base year and condition drift a few years late
Fig. A condition-age matrix comparing the status at base year and condition drift a few years later.

See also:
Compare with:



A condition-age matrix comparing the status at base year and condition drift a few years late
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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