An approach to constraint-based and mass-customizable product design

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Abstract

In traditional product development, several iterations are usually necessary to obtain a successful compromise between constraints emanating from engineering, manufacturing, and aesthetics. Moreover, this approach to product development is not well suited for true mass-customization, as the manufacturing company remains in control of all aspects of the shape of the product-to-be. In this article, we propose an alternative approach that would (1) allow for an improved integration of industrial design into the product development process and (2) enhance the creative repertoire of industrial designers, which (3) would result in significantly improved prospects for mass-customization. The industrial design process may benefit from using advanced and aesthetically interesting morphologies emanating from the areas of mathematics and nature. Such complex morphologies can only be manipulated (analyzed and represented) by means of specific algorithms. On one hand, this requires a shift from established industrial design practice, where the industrial designer is in total control of the product form; on the other hand, it makes it fully possible to compute form so that it complies with engineering and manufacturing constraints. In this setup, the industrial designer still has control of the final result, in that she or he can choose from a set of valid forms. This approach would greatly reduce the number of iterations in the product development process between industrial design, engineering, and production. Naturally, such an approach also allows for advanced masscustomization by allowing consumers to use these tools. Within this approach, a table generation system has been developed: A system that generates tables whose support structure is based on a Voronoi diagram that fulfills structural and manufacturing constraints while being aesthetically appealing.
Original languageEnglish
Article number011006
Number of pages7
JournalJournal of Computing and Information Science in Engineering
Volume11
Issue number1
DOIs
Publication statusPublished - 2011

Subject classification (UKÄ)

  • Production Engineering, Human Work Science and Ergonomics

Keywords

  • genetics algorithm
  • Voronoi diagram
  • morphologies
  • multi-objective optimization
  • production
  • machine design
  • industrial design
  • Renaissance 2.0
  • maskinkonstruktion

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