Skip to main content
×
Home
    • Aa
    • Aa

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

  • Axel Nordin (a1)
Abstract
Abstract

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.

Copyright
Corresponding author
Reprint requests to: Axel Nordin, Division of Product Development, Department of Design Sciences, Faculty of Engineering LTH, Lund University, P.O. Box 118, Lund 221 00, Sweden. E-mail: axel.nordin@design.lth.se
Linked references
Hide All

This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

M. Agarwal , & J. Cagan (1998). A blend of different tastes: the language of coffee makers. Environment and Planning B 25 (2), 205227.

M. Agarwal , J. Cagan , & C.G. Constantine (1999). Influencing generative design through continuous evaluation: associating costs with the coffeemaker shape grammar. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 13 (4), 253275.

S. Ahlquist , D. Erb , & A. Menges (2015). Evolutionary structural and spatial adaptation of topologically differentiated tensile systems in architectural design. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 29 (04), 393415.

P.J. Bentley , & D.W. Corne (2002). Creative Evolutionary Systems ( P.J. Bentley , & D.W. Corne , Eds.). San Francisco, CA: Morgan Kaufmann.

J. Cagan , M.I. Campbell , S. Finger , & T. Tomiyama (2005). A framework for computational design synthesis: model and applications. Journal of Computing and Information Science in Engineering 5 (3), 171181.

F. Cluzel , B. Yannou , & M. Dihlmann (2012). Using evolutionary design to interactively sketch car silhouettes and stimulate designer's creativity. Engineering Applications of Artificial Intelligence 25 (7), 14131424.

K.M. Eisenhardt (1989). Building theories from case study research. Academy of Management Review 14 (4), 532550.

J. Frazer (2002). Creative design and the generative evolutionary paradigm. In Creative Evolutionary Systems ( P.J. Bentley , & D.W. Corne , Eds.), pp. 253274. San Francisco, CA: Morgan Kaufmann.

I. Horváth (2005). On some crucial issues of computer support of conceptual design. In Product Engineering: Eco-Design, Technologies and Green Energy ( D. Talabă , & T. Roche , Eds.), pp. 123142. Dordrecht: Springer.

H.-F. Hsieh , & S.E. Shannon (2005). Three approaches to qualitative content analysis. Qualitative Health Research 15 (9), 12771288.

P. Janssen (2006). A generative evolutionary design method. Digital Creativity 17 (1), 4963.

P. Janssen (2015). Dexen: a scalable and extensible platform for experimenting with population-based design exploration algorithms. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 29 (4), 443455.

T.W. Knight (1980). The generation of Hepplewhite-style chair-back designs. Environment and Planning B 7 (2), 227238.

K. Krippendorff (1970). Bivariate agreement coefficients for reliability of data. Sociological Methodology 2, 139150.

K. Krippendorff (2004). Reliability in content analysis: some common misconceptions and recommendations. Human Communication Research 30 (3), 411433.

S. Krish (2011). A practical generative design method. Computer-Aided Design 43 (1), 88100.

A. Lindenmayer (1968). Mathematical models for cellular interactions in development, parts I and II. Journal of Theoretical Biology 18, 280315.

M. Lombard , J. Snyder-Duch , & C. Campanella Bracken (2002). Content analysis in mass communication. Human Communication Research 28 (4), 587604.

J.P. McCormack , J. Cagan , & C.M. Vogel (2004). Speaking the Buick language: capturing, understanding, and exploring brand identity with shape grammars. Design Studies 25 (1), 129.

A. Nordin , A. Hopf , D. Motte , R. Bjärnemo , & C.-C. Eckhardt (2011). An approach to constraint-based and mass-customizable product design. Journal of Computing and Information Science in Engineering 11 (1), 011006011012.

S. Orsborn , J. Cagan , R. Pawlicki , & R.C. Smith (2006). Creating cross-over vehicles: defining and combining vehicle classes using shape grammars. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 20 (3), 217246.

R. Oxman (2006). Theory and design in the first digital age. Design Studies 27 (3), 229265.

M.J. Pugliese , & J. Cagan (2002). Capturing a rebel: modeling the Harley-Davidson brand through a motorcycle shape grammar. Research in Engineering Design 13 (3), 139156.

K. Shea , R. Aish , & M. Gourtovaia (2005). Towards integrated performance-driven generative design tools. Automation in Construction 14 (2), 253264.

H.A. Simon (1973). The structure of ill structured problems. Artificial Intelligence 4 (3–4), 181201.

V. Singh , & N. Gu (2012). Towards an integrated generative design framework. Design Studies 33 (2), 185207.

G. Stiny (1980). Introduction to shape and shape grammars. Environment and Planning B 7 (3), 343351.

M. Turrin , P. Von Buelow , & R. Stouffs (2011). Design explorations of performance driven geometry in architectural design using parametric modeling and genetic algorithms. Advanced Engineering Informatics 25 (4), 656675.

M.A. Zboinska (2014). Hybrid CAD/E platform supporting exploratory architectural design. Computer Aided Design 59, 6484.

Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

AI EDAM
  • ISSN: 0890-0604
  • EISSN: 1469-1760
  • URL: /core/journals/ai-edam
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Keywords:

Metrics

Full text views

Total number of HTML views: 5
Total number of PDF views: 42 *
Loading metrics...

Abstract views

Total abstract views: 313 *
Loading metrics...

* Views captured on Cambridge Core between 30th January 2017 - 23rd May 2017. This data will be updated every 24 hours.