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Abstract

This article explores the applicability of heuristic rules into the decision-making processes involved in design practices, with the aim of generating a strategic approach for the fixation, tangibilization and re-utilization of knowledge within organizations. For this purpose, the research focuses on the creation of a methodological approach and a support tool that seeks to facilitate the introduction of heuristics into particular stages of the design process, such as concept development and architecture definition. This is achieved by providing an initial analysis of the design problem, and the definition of specific problem solving actions based on heuristics. This means that, with the aid of tools specifically developed for the method, the process will help design engineers explore several solution principles with applications previously implemented in diverse domains, thus triggering creativity in problem solving activities. This will enable a more diverse concept generation and a more detailed product development process. In addition, it will allow organizations to work with tools and procedures for them to ensure that emerging knowledge can be integrated to the proposed approach and reused in the future.

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References

  1. Altshuller, G., Shulyak, L., Rodman, S., Fedoseev, U.: 40 principles: TRIZ keys to innovation, vol. 1. Technical Innovation Center, Inc. (1998)

  2. Altshuller, G.S.: The innovation algorithm: TRIZ, systematic innovation and technical creativity. Technical Innovation Center, Inc., USA (1999)

  3. Beheshti, R.: Design decisions and uncertainty. Des. Stud. 14(1), 85–95 (1993)

    Article  Google Scholar 

  4. Ceruti, A., Caligiana, G., Persiani, F.: Comparative evaluation of different optimization methodologies for the design of uavs having shape obtained by hot wire cutting techniques. Int. J. Interact. Des. Manuf. (IJIDeM) 7(2), 63–78 (2013)

    Article  Google Scholar 

  5. Daly, S.R., Yilmaz, S., Christian, J.L., Seifert, C.M., Gonzalez, R.: Design heuristics in engineering concept generation. J. Eng. Educ. 101(4), 601–629 (2012)

    Article  Google Scholar 

  6. Eberle, R.F.: Develo** imagination through scamper*. J. Creat. Behav. 6(3), 199–203 (1972)

    Article  Google Scholar 

  7. Favi, C., Germani, M.: A method to optimize assemblability of industrial product in early design phase: from product architecture to assembly sequence. Int. J. Interact. Des. Manuf. (IJIDeM) 6(3), 155–169 (2012)

    Article  Google Scholar 

  8. Fischer, X., Coutellier, D.: The interaction: a new way of designing. In: Research in Interactive Design. Proceedings of Virtual Concept 2005, pp. 1–15. Springer, Paris (2006)

  9. Fischer, X., Nadeau, J.-P.: Interactive design: then and now. In: Research in Interactive Design, vol. 3, pp. 1–5. Springer, Paris (2011)

  10. Gordon, W.J.J.: Synectics. Harper and Row Publishers, New York (1961)

  11. Forsythe, G.E., Germand, H.H., Householder, A.S.: Monte carlo method. In: NBS Applied Mathematics Series, vol. 12. US Government Printing Office, Washington (1951)

  12. Kalos, M.H., Whitlock, P.A.: Monte carlo methods. John Wiley & Sons, New York (2008)

  13. Kennedy, J., Eberhart, R., et al.: Particle swarm optimization. In: Proceedings of IEEE International Conference on Neural Networks, vol. 4, pp. 1942–1948. Perth, Australia (1995)

  14. Kolodner, J.: Case-based reasoning. 1993. Morgan Kaufmann, San Mateo (1995)

    Google Scholar 

  15. Kolodner, J.L.: An introduction to case-based reasoning. Artif. Intell. Rev. 6(1), 3–34 (1992)

    Article  Google Scholar 

  16. Koza, J.R.: Genetic programming as a means for programming computers by natural selection. Stat. Comput. 4(2), 87–112 (1994)

    Article  Google Scholar 

  17. Merriam-Webster: Heuristic. Encyclopaedia Britannica (2014)

  18. Morillon, T.: Mise en place de standards technologiques pour la maîtrise des pertes de rendement en face externe de veine de turbine haute pression. Ph.D. (2009)

  19. Nadeau, J.P., Pailhes, P., Olivares, P.: MAL’IN Software, ARTS, Paris (2004)

  20. Pailhès, J., Sallaou, M., Nadeau, J.-P.: Knowledge base formulation for aided design tool. In: Advances in Integrated Design and Manufacturing in Mechanical Engineering II, pp. 231. Springer (2010)

  21. Pailhès, J., Sallaou, M., Nadeau, J.P., Fadel, G.M.: Energy based functional decomposition in preliminary design. J. Mech. Des. 133(5), 051011 (2011)

    Article  Google Scholar 

  22. Polovinkin, A.I.: Theory of new technique design: laws of technical systems and their applications. Informelektro, Moscow (1991)

  23. Roozenburg, N.F., Eekels, J.: Product Design: Fundamentals and methods, vol. 2. Wiley, Chichester (1995)

  24. Simon, H.A.: The Sciences of the Artificial. MIT press, Cambridge (1996)

    Google Scholar 

  25. Smith, P.G., Reinertsen, D.G.: Develo** products in half the time. Wiley and Sons, New York (1998)

  26. Soegaard, M.: Heuristics and heuristic evaluation (2004)

  27. Stone, R.B., Wood, K.L., Crawford, R.H.: A heuristic method for identifying modules for product architectures. Des. Stud. 21(1), 5–31 (2000)

    Article  Google Scholar 

  28. De Carvalho, M.A., Savransky, S.D., Wei, T.-C.: 121 Heuristics for Solving Problems. Lulu Press Inc., USA (2004)

  29. Yilmaz, S., Seifert, C.M.: Creativity through design heuristics: a case study of expert product design. Des. Stud. 32(4), 384–415 (2011)

    Article  Google Scholar 

Download references

Acknowledgments

Authors would like to acknowledge the Universidad EAFIT’s Research Direction for financing this project. A special thanks to the Design Engineering Research Group (GRID) members for the collaboration in the testing phase. Authors would also like to thank Arts et Métiers ParisTech and, in particular, the Mechanical Design Department from I2M Lab for their valuable contribution to the development of the present work as well as for facilitating the basis of the Heuristics work.

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Correspondence to Manuela Calle-Escobar.

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Calle-Escobar, M., Mejía-Gutiérrez, R., Nadeau, JP. et al. Heuristics-based design process. Int J Interact Des Manuf 10, 369–386 (2016). https://doi.org/10.1007/s12008-014-0248-x

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  • DOI: https://doi.org/10.1007/s12008-014-0248-x

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