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Optimization

SIMULIA Discipline

Drive Innovation by exploring multiple alternatives across the complete range of operating scenarios, all to make better decisions and optimal designs

The Optimization discipline provides capabilities to automatically run and re-run simulation methods with varying parameters allowing design space exploration and optimization using Isight technology.  Tens, hundreds, or even thousands of simulations can be automatically run to provide an entire neighborhood of data points for comparison and selection.  Within these data sets, optimal design points can be discovered and chosen to reduce weight and cost and increase durability, strength, and lifespan.

Benefits

Improve design exploration

Investigate the relationships between design parameters and their influence on performance objectives, to improve the efficiency of design exploration using Isight technology

Meet design requirements

Systematically explore variations of and trade-offs between design parameters with analytics and visualization to identify the best design that satisfies requirements

Reduce design failures

Assess the influence of variability to reduce the probability of design failures and increase robustness

Improve collaborative decision making

 Enable intelligent decision-making collaboratively across the organization

Discover the roles within SIMULIA for Optimization

Roles

multidisciplinary optimization engineer

Multidisciplinary Optimization Engineer

Drive innovation by exploring multiple alternatives across the complete range of operating scenarios, all to make better decisions and find optimal designs

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tire analysis engineer

Tire Analysis Engineer

Accelerate tire innovation with fast predictions of key tire performances

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