its ability to overcome noisy data to make somewhat accurate predictions

its ability to predict the outcome of a previously unknown data set accurately

its speed of computation and computational costs in using the mode

its ability to construct a prediction model efficiently given a large amount of data

associations

computations

classifications

regressions

Items that entities compete for during the simulation

Internal variables not accessible to entities

Attributes automatically assigned by Arena

Constants used in calculating statistics

Light years

Minutes

Decades

Microseconds

Graphs representing simulation results

External users of the model

Dynamic objects that move and interact in the model

Static components used for input

The queue may “explode” due to buildup

The queue will eventually disappear

The simulation will run faster

The system will remain idle

Labels for each simulation resource

Characteristics unique to each entity

Global counters for system-wide values

Constants defining the simulation clock

independent data mart

volatile data mart

sectional data mart

public data mart

centralized data warehouse architecture

independent data marts architecture

hub-and-spoke data warehouse architecture

federated architecture

one tier architecture.

three tier architecture.

two tier architecture.

four tier architecture.