The
Data Management Tool (DMT) has been developed to produce OSCAM
compatible datasets using traditional cost estimating techniques.
The DMT calculates maintenance requirements by aggregating the
lowest level components in a work breakdown structure, allowing
development of datasets derived from maintenance data for the
sub-systems of a platform. Providing insight into the maintenance
philosophy of individual components, the DMT serves as both
an effective supplementary tool to OSCAM and as a powerful analysis
tool in it’s own right.
In
summary, the DMT enables definition of the work breakdown structure,
followed by calculation of the system level maintenance by aggregation
of the lowest level components in that structure.
In
addition to creating OSCAM compatible aggregated datasets, the DMT
provides users with the ability to identify key cost drivers. Representing
work breakdown structures to whatever level of detail is required,
the DMT aids in assessing the impact of an alternative choice of
sub-systems. By analyzing individual components, it is possible
to identify which elements drive action rates and costs, and subsequently
which maintenance lines significantly impact system level requirements.
Alternatively,
OSCAM models can be populated starting with a blank dataset or
by aggregating from sub-systems using the DMT.
The DMT offers flexibility in the method of data input. In addition
to the creation of work breakdown structures manually, it is possible
to import structures from existing Excel spreadsheets, thus providing
the option of importing existing supplier databases.
Consistent with existing OSCAM models, the Data Management Tool
provides access to existing datasets, as well as both numerical
and graphical representation of data. The familiar windows based
user interface provides a standardized working environment, allowing
intuitive use of the model’s features and capabilities.
