Simulation models guide million-dollar inventory decisions, staffing patterns that affect patient care and investment strategies that manage pension funds. Yet many organizations still treat them as ...

Engineering has always depended on the ability to test ideas before committing them to expensive physical prototypes, ...

A large simulation study shows the heuristic shrinkage factor commonly used to correct overfitting in logistic regression ...

Simulation has been a key technology of the automotive industry for many decades. Predictive simulations enable engineers and designers to understand how parts of a vehicle, or even entire vehicles, ...

From luxury watches to GPU cold plates, engineers are finding real value in surrogate models—when the cost-benefit tradeoff makes sense. Surrogate models show the exciting impact AI can have on ...

Researchers have developed an importance-sampling-based black box variational inference algorithm that reuses earlier ...

Figure 1. (click to enlarge) Part-level flow simulation. The diversity and complexity of medical devices are likely to increase with time, as will the associated design risks and manufacturing ...

Predictive analytics allows data professionals to identify trends, forecast outcomes and test assumptions using data. When these capabilities are applied to simulation modeling, they make models more ...

Systematic, well-designed, and implementable research is the most effective way to solve many problems facing state department of transportation (DOT) administrators and engineers. Often, highway ...