What does simulation modeling involve in the non-measurement method?

Simulation modeling in the non-measurement method primarily involves running developed models under various conditions to analyze potential outcomes and behaviors of a system. This approach allows for the exploration of different scenarios and variables without the necessity of real-world experimentation, which can be resource-intensive and time-consuming.

By changing parameters and observing the resulting impacts on the model, organizations can gain insights into how systems might perform in various situations, aiding decision-making processes. This is especially useful in strategic planning and forecasting where actual measurements might not yet be available or feasible.

The other options focus on specific aspects of operational processes or performance review rather than the essence of simulation modeling. Implementing real-time data collection emphasizes direct measurement and feedback from ongoing processes, evaluating past performances looks backward instead of using models to predict future scenarios, and training employees on procedures relates to the development of skills and knowledge rather than the analytical exploration of different system behaviors through simulation. Hence, running models with varying conditions is the defining characteristic of simulation modeling in this context.