z = r (cosθ + isinθ) 2x + 2y + z + 4t = 0 C = {z = x + iy x, y ∈ IR} z = −1 + i f(x) = 3x − 2 ax + by + cz + d = 0 C = {z = x + iy x, y ∈ IR} [x0 −r, x0 + r] (cosnα + isinnα) = (cosα + isinα)n

Multidisciplinary optimization to improve the design process

The design of complex vehicles requires the involvement of various engineering fields and numerous work teams. We have helped an important player in the Italian aerospace sector to adopt methodologies that allow a unitary approach to manage complexity and to find the optimal trade-off between different objectives while respecting the constraints dictated by the project specifications.

  • Description and benefits
New methodology
Reduced iterations
Cross-functional teams

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z = −1 + i nα = θ + 2πk u = ρ (cosα + isinα) f(x) = 3x − 2 z = r (cosθ + isinθ) ax + by + cz + d = 0 a (f(x + T) = f(x), ∀ x ∈ IR) (f(−x) = f(x), ∀ x ∈ D) 2x + 2y + z + 4t = 0 [x0 −r, x0 + r] (cosnα + isinnα) = (cosα + isinα)n z = −1 + i nα = θ + 2πk

Finding an optimum in the presence of numerous trade-offs