Developing a simulation isn’t a haphazard process; it follows a series of structured steps to ensure the final model is useful and accurate.

1. Identify the Goal The first step is to clearly understand the problem. This involves identifying issues with an existing system or defining the specific requirements and goals for a new system that is being proposed.
2. Design and Collect Data Here, the conceptual model is designed, taking into account the real system’s factors and limitations. This stage also involves collecting data on how the real system performs, as this information will be crucial for building and validating the model.
3. Build the Model This is the stage where the model is actually constructed, often using network diagrams or specialized software. Once built, the model is verified to make sure it was put together correctly according to the design.
4. Validate the Model This is a critical checkpoint. Validation involves comparing the model’s performance to the performance of the real system under various conditions. The goal is to ensure the model is an accurate representation of reality.
5. Document and Experiment Once the model is validated, it must be documented thoroughly for future use, noting its objectives, assumptions, and variables. Then, the real work begins: running experiments by changing conditions or variables within the model to observe the results and find the best solutions.

This general process can be used to create many different types of models, each suited for a different kind of problem.