Simulation Design Metrics
Based on our experience over more than 30 years and following the design of fifty plus simulations we have developed a series of design metrics that are indicative of the time taken to develop a new simulation. The page provides several simulation design metrics and case studies of actual designs.
|Duration||2 - 4 Hours||1 Day||1.5 - 2.5 Days||
|Number of Decisions||3 to 5||10||15 to 25||
|Model Proportion||4%||6% - 9%||9%-10%||
|Shell Proportion||94%||94% - 91%||91% - 90%||
|Model Development||20 - 40 days||60 - 100 days||120 - 300 days||
For convinience we separate our simulations in to four classes:
2. Number of Decisions
Our award winning research presented at the 1994 ABSEL Conference showed an empirical link between duration and simulation complexity expressed in terms of the average number of decisions made each period. The formula we derived is as follows:
Duration (hours) = 0.83 * Number of Decisions - 0.355
This asumes that eight periods are simulated and all the decisions are independent.
3. Model Size
This shows the size of the models relative to the total size of the simulator program. The actual number of statement correlate well with the number of decisions but are affected by the independancy of the decisions. The model size shown is based on a simulation that incorporates a full tutor/participant support system. If this is eliminated it halves the model size.
4. Shell Size
This represents the rest of the simulator. (I.E. Model Size and Shell Size adds to 100%.)
5. Model Development Time
This based on the development of recent simulations is indicative of the time actually taken by use to develop the models. If a client is using their own models for incorporation in our shells, the time is likely to be longer (to compensate for lack of experience and the non-availability of a library of models).
The design metrics (above) assume that a new simulation is developed from scratch. But besides this, we are often able to customise existing simulations, modify or extend existing simulations.
Customisation involves taking an existing simulation and changing the terminology and/or the parameters driving the simulation.
Modification involves taking an existing simulation and replacing a few of the models.
Extensions involves taking a simulation and adding models to address additional issues and provide new learning.
Most recent update: 21/07/03
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