Definition
The Disadvantages of Simulation are the limitations and common pitfalls associated with simulation projects, often stemming from unrealistic expectations or poor data management rather than the modeling process itself.
Why It Matters
Simulations are not “truth machines”; they are “garbage magnifiers.” If your input data is flawed, the resulting simulation won’t just be wrong—it will be precisely, authoritatively wrong, leading to a false sense of confidence in a broken model. Recognizing these pitfalls is the only way to prevent simulation from becoming an expensive way to ignore your own common sense.
Core Concepts
- Input Data Accuracy (GIGO): “Garbage In, Garbage Out.” If input data is inaccurate, output results will be misleading. Data collection is often the most difficult and neglected part of the process.
- No Easy Answers for Complex Problems: Simulation models of complex systems likely require complex answers. Simple solutions proposed for high-interaction systems often ignore critical elements, leading to ineffective policies.
- Simulation Alone Cannot Solve Problems: A simulation provides potential solutions, but management must implement them. Organizational inertia or political considerations can block the actual resolution.
- Cost and Training: Simulation building can be very costly and requires specialized training in both the software and statistical interpretation.