Title: Explain data variables that would be necessary to effectively model a complex system.
Course: Modeling and Simulation Technology (21015) > Section: Evaluating Complex Systems

Explanation should include

- input variables (e.g., arrival time, volumes)
- process variables (e.g., customer service time, production time, transit time, inventory levels, error rate)
- output variables (e.g., profit, loss, total time in system, average time in queue, parts manufactured)
- simulation execution performance variables (e.g., events per second, frames per second, time scale, cost, weight).

Process/Skill Questions:

- How does one decide which data to collect for modeling a complex system?
- What statistical tools can help ensure that data are valid?
- How confident can one be in the validity of a model?
- What is the importance of time studies?