Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

Challenges in the industrial implementation of generative design systems : An exploratory study

Författare

Summary, in English

The aim of this paper is to investigate the challenges associated with the industrial implementation of generative design systems. Though many studies have been aimed at validating either the technical feasibility or the usefulness of generative design systems, there is, however, a lack of research on the practical implementation and adaptation in industry. To that end, this paper presents two case studies conducted while developing design systems for industrial uses. The first case study focuses on an engineering design application and the other on an industrial design application. In both cases, the focus is on detail-oriented performance-driven generative design systems based on currently available computer-assisted design tools. The development time and communications with the companies were analyzed to identify challenges in the two projects. Overall, the results show that the challenges are not related to whether the design tools are intended for artistic or technical problems, but rather in how to make the design process systematic. The challenges include aspects such as how to fully utilize the potential of generative design tools in a traditional product development process, how to enable designers not familiar with programming to provide design generation logic, and what should be automated and what is better left as a manual task. The paper suggests several strategies for dealing with the identified challenges.

Avdelning/ar

Publiceringsår

2018

Språk

Engelska

Sidor

16-31

Publikation/Tidskrift/Serie

Artificial Intelligence for Engineering Design, Analysis and Manufacturing

Volym

32

Avvikelse

01

Dokumenttyp

Artikel i vetenskaplig tidskrift

Förlag

Cambridge University Press

Ämne

  • Production Engineering, Human Work Science and Ergonomics

Nyckelord

  • Case Study
  • Design Automation
  • Engineering Design
  • Generative Design
  • Industrial Design

Aktiv

Published

ISBN/ISSN/Övrigt

  • ISSN: 0890-0604