Generative Design

Rethinking linear workflows

Generative design enables us to design increasingly complex, optimized, or mass-personalized products. Matej Dubiš’s research pursues generative design methods and their potential for a specific discipline: automotive design.

The research mainly focuses on the methodology of generative design, specifically, the designer’s role and the generative design process divided into four blocks: concept, algorithm, parameters, and results. Based on them, the thesis described in detail the possibilities of applying generative methods in the automotive design process, focusing on their impact on how designers work, think, and use tools.

The tangible outcome of the doctoral research is three physical demonstrations of different generative methods in designing a steering wheel, hypothetically mass-produced by 3D printing technology.

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