Process Modeling And Simulation

It is important to think about the benefits these techniques can offer with regard to the analysis of risk and making decisions (such as cost estimation and scheduling resources, engineering design, resource allocation, etc.) through modeling the probabilistic behavior of a process or service. 

CFD(Computational Fluid Dynamics) is an efficient computerized method of studying fluid mechanics based on numerical analysis. You can also navigate to know more about CFD simulation.

Image Source: Google

Specifically, process modeling and simulation can accomplish the following:

1. Predict performance of current processes against effectiveness, readiness, and cost to determine areas of significant improvement potential.

2. Enable rapid analysis in situations with either extensive data or no data.

3. Provide an understanding of why key factors have the highest impact on results and where to focus efforts.

4. Meet quality objectives by determining optimal specifications and tolerances.

5. Communicate findings in a simple, highly visual manner.

Why Practice Process Modeling:

Process modeling and simulation can be invaluable in situations where the construction of a real-world model is infeasible. Process modeling helps to visualize a proposed system, facility layout, or other process change. It can help answer "what if" questions and scenarios within a given confidence level. 

Process Modeling and simulation can often demonstrate the effectiveness (or lack of) of a new design or process through exploring the implications of operational changes and the investigation of the impact of changes in the marketplace.