If you have enjoyed this tutorial, and would like more practice with the software,
then please review the side-notes mentioned in the text as
beyond the scope of this tutorial.
These are recapped below for your convenience, in two separate categories:
Extensions to the narrative of this case study
-
more thorough analysis of traffic in the busy period
-
using optional Maximum Utilisation and
Minimum Slack Capacity inputs to provision extra
resource capacity as contingency for imminent additions
-
assuming Distribution =
Monte Carlo (i.e., the pure, non-extended version) when a
‘just-in-time’ deployment model is feasible for the first customer at each site
-
a chassis might need to accommodate other types of cards (even the power supply)
-
trying a phased roll-out which would limit the initial capex, but also delay revenue
-
using template replication to model cards and chassis at individual sites
-
charging for space in whole sq m at each site, or conversely working
with the Usage Cost attribute which is charged only
in proportion to used capacity
-
trying a persistent resource for a kW or an aggregate, energy-required transformation
as alternatives to the recommended, consumable resource with built-in time factor
-
comparing Consumption results in
years, versus quarters or months
-
connecting multiple power-required drivers to the same
Power resource.
Other software features mentioned in the text
-
using Consolidation to graph aggregate
quarterly/monthly results on an annual basis
-
working with per-element and global User Data;
e.g., to work with multiple currencies
-
other transformation types, such as
Input-Output Mapping or
Expression
-
other resource input bases, such as
Installed Capacity or
Incremental Units
-
using a transformation to govern
Sites or
Planned Units for a resource
-
other service input bases, such as
Traffic or
New Connections
-
efficient pricing based on used or direct cost results
-
choosing a suitable Discount Rate
-
considering the terminal value of a business
-
adding extra scenario dimensions, such as technical evolution or supplier pricing.
Press <F1> anywhere in the STEM software to access context-sensitive help,
or use the navigation on the right of this page to explore other sections of
this comprehensive, online-help resource.