The days of material, product and process development using trial-and-error experimentation are waning rapidly. Empirically based trial-and-error development cycles typically require a long time to complete, and the complexity and large number of variables of most engineering problems makes it difficult if not impossible to reach an optimal solution.
As the complexity of a problem increases, the need for a powerful simulation system to replace current economically prohibitive trial-and-error development methods also increases. Simulation systems allow engineers to optimize process parameters and improve yield and reduce costs and development time for manufacturers. Decisions that influence the final quality of the product or process can be made rapidly, and customer requirements can be analyzed more efficiently and at lower cost.