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While technology has made
dramatic
advancements in data processing and
automated drafting, little advancement has occurred in the area of facility planning.
CADAFIS
has developed advanced techniques in data acquisition, data integration
and data applications. The use of these combined techniques will provide
management with improved processes of data acquisition and analyses
providing
significant economic payoff solutions.
Data
Acquisition
- Mobile
computing technology is used to acquire on-site data quickly and
economically. The acquired data consists of facility condition,
functional adequacy and costs. Three different levels of data, from
conceptual to general to detailed data, may be acquired.
Data Integration - CADAFIS
automatically updates and
integrates continuously
changing data that impacts capital
allocation decisions. CADAFIS provides a continuous planning and budgeting
process.
Data
Application - The integrated data applications provide support for
cost-effective capital allocations. Although capital is only a very
small percent of the total cost of delivery of services or products -
once capital is "built-in", it will have a profound influence
upon the institution's future policies, procedures and operating costs.
The key is to factor capital renewal and/or maintenance repair costs before capital is
"built-in".
CADAFIS applications allow
users to analyze hypothetical solutions seeking least cost combinations
of capital and operating costs. The applications perform life cycle
costs and financial analyses.
The
strength of the CADAFIS
technique is its
performance in the hands of local users. As user skills develop,
reliance upon outside support decreases.
Capital requests for repair or replacement
will be supported with
up-to-date, uniform data, analyses and reports.
SUMMARY
Facility capital planning has been likened to the stage of the Model
T in automotive development. It need not be.
CADAFIS
has developed advanced
techniques in the acquisition, integration and application of data for
use by capital facility decision makers.
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