Reconsidering the Problem

At this point it is difficult to know what has gone wrong with our simulation. The questions arising from such a poor result are as follows:

• Did we fail in our data collection, and our probability tables are incorrect? 
• Did the logic in our script fail to accurately populate the tables? 
• Perhaps it is a problem with the states, and over time the numbers would match?
• Was there an issue with our Random Number Generator?
• Was our methodology inherently flawed?
• Does the benchmark data reflect what we the discrete states events that we are simulating?

In any case, it is apparent to know that there are some obvious things that should be corrected, and we can re-examine the output following that. 

Our next step is to refactor simpy v.1, and take take it to more closely mirror the logic that was displayed in our Problem Formulation Step.