Abstract
This paper proposes a new platform of collaborative product design for product customization. The proposed platform of the collaborative product design process is scoped in internal enterprise level, which includes customers, designers, engineers, and technologists into a single platform. The platform can generate a design solution to the design objective. The collaborative design platform was developed in term of an interactive design on a Computer-Aided Design (CAD) software. In the platform, customer can input the design requirements, designer can monitor the shape generation and improve the resulting design, engineer can define the manufacturing conditions, and technologist can perform the optimization of design and process parameters. At the end of the collaborative design process, the design solution, therefore, is generated in terms of a three-dimensional (3D) model, which is directly integrated to the manufacturing process in line, until obtaining the physical product. This platform has been implemented in a jewelry product enterprise, and the result indicates that it can reduce time in design and manufacturing process approximately 66%.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Narayan, K.L., Rao, K.M., Sarcar, M.M.M.: Computer Aided Design and Manufacturing, 1st edn. Prentice Hall of India, New Delhi (2008)
Shen, W., Hao, Q., Li, W.: Computer supported collaborative design: retrospective and perspective. Comput. Ind. 59, 855–862 (2008)
Zha X.F., Sriram, R.D.: Collaborative product development and customization: a platform-based strategy and implementation. In: 2004 ASME Design Engineering Technical Conference, Salt Lake City, Utah, USA, pp. 1–12 (2004)
Sims, K.: Artificial evolution for computer graphics. Comput. Graph. 25, 319–328 (1991)
Bentley, P.: Evolutionary Design by Computers. Morgan Kaufmann, San Francisco (1999)
Bentley, P.J., Corne, D.W.: An introduction to creative evolutionary systems. In: Bentley, P.J., Corne, D.W. (ed.) Creative Evolutionary Systems. Morgan Kaufmann, San Francisco, pp. 1–75 (2002)
Whitley, D.: A genetic algorithm tutorial. Stat. Comput. 4, 65–85 (1994). https://doi.org/10.1007/BF00175354
Lourenço, N., Assunção, F., Maçãs, C., Machado, P.: EvoFashion: customising fashion through evolution. In: Correia, J., Ciesielski, V., Liapis, A. (eds.) EvoMUSART 2017. LNCS, vol. 10198, pp. 176–189. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-55750-2_12
Muehlbauer, M., Burry, J., Song, A.: Automated shape design by grammatical evolution. In: Correia, J., Ciesielski, V., Liapis, A. (eds.) EvoMUSART 2017. LNCS, vol. 10198, pp. 217–229. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-55750-2_15
Tabatabaei Anaraki, N.A.: Fashion design aid system with application of interactive genetic algorithms. In: Correia, J., Ciesielski, V., Liapis, A. (eds.) EvoMUSART 2017. LNCS, vol. 10198, pp. 289–303. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-55750-2_20
Cohen, M.W., Cherchiglia, L., Costa, R.: Evolving mondrian-style artworks. In: Correia, J., Ciesielski, V., Liapis, A. (eds.) EvoMUSART 2017. LNCS, vol. 10198, pp. 338–353. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-55750-2_23
Rodriguez, L., Diago, L., Hagiwara, I.: Interactive genetic algorithm with fitness modeling for the development of a color simulation system based on customer’s preference. Japan J. Ind. Appl. Math. 28, 27–42 (2011). https://doi.org/10.1007/s13160-011-0032-2
Dou, R., Zong, C., Li, M.: An interactive genetic algorithm with the interval arithmetic based on hesitation and its application to achieve customer collaborative product configuration design. Appl. Soft Comput. 38, 384–394 (2016)
Byrne, J., Cardiff, P., Brabazon, A., O’Neill, M.: Evolving parametric aircraft models for design exploration and optimisation. Neurocomputing 142, 39–47 (2014)
Gong, D., Yuan, J., Sun, X.: Interactive genetic algorithms with individual’s fuzzy fitness. Comput. Hum. Behav. 27, 1482–1492 (2011)
Mok, P.Y., Xu, J., Wang, X.X., Fan, J.T., Kwok, Y.L., Xin, J.H.: An IGA-based design support system for realistic and practical fashion designs. Comput. Aided Des. 45, 1442–1458 (2013)
Ono, S., Maeda, H., Sakimoto, K., Nakayama, S.: User-system cooperative evolutionary computation for both quantitative and qualitative objective optimization in image processing filter design. Appl. Soft Comput. 15, 203–218 (2014)
Poirson, E., Dépincé, P., Petiot, J.-F.: User-centered design by genetic algorithms: application to brass musical instrument optimization. Eng. Appl. Artif. Intell. 20, 511–518 (2006)
Tang, C.Y., Fung, K.Y., Lee, E.W.M., Ho, G.T.S., Siu, K.W.M., Mou, W.L.: Product form design using customer perception evaluation by a combined superellipse fitting and ANN approach. Adv. Eng. Inform. 27, 386–394 (2013)
Wannarumon, S., Bohez, E.L.J., Annanon, K.: Aesthetic evolutionary algorithm for fractal-based user-centered jewelry design. Artif. Intell. Eng. Des. Anal. Manuf. 22, 19–39 (2008)
Su, Y., Ohsaki, M., Wu, Y., Zhang, J.: A numerical method for form finding and shape optimization of reciprocal structures. Eng. Struct. 198, 109510 (2019)
Agkathidis, A.: Generative Design: Form-finding Techniques in Architecture. Laurence King Publishing, London (2016)
Takagi, H.: Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation. Proc. IEEE 89, 1275–1296 (2001)
Brintrup, A.M., Ramsden, J., Tiwari, A.: An interactive genetic algorithm-based framework for handling qualitative criteria in design optimization. Comput. Ind. 58, 279–291 (2007)
Sheikhi Darani, Z., Kaedi, M.: Improving the interactive genetic algorithm for customer-centric product design by automatically scoring the unfavorable designs. Human-centric Comput. Inf. Sci. 7, 38 (2017)
Kielarova, S.W., Sansri, S.: Shape optimization in product design using interactive genetic algorithm integrated with multi-objective optimization. In: Sombattheera, C., Stolzenburg, F., Lin, F., Nayak, A. (eds.) MIWAI 2016. LNCS (LNAI), vol. 10053, pp. 76–86. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-49397-8_7
Brintrup, A.M., Ramsden, J., Takagi, H., Tiwari, A.: Ergonomic chair design by fusing qualitative and quantitative criteria using interactive genetic algorithms. IEEE Trans. Evol. Comput. 12, 343–354 (2008)
Evolutionary principles applied to problem solving using galapagos (2017)
Hu, Z.-H., Ding, Y.-S., Zhang, W.-B., Yan, Q.: An interactive co-evolutionary CAD system for garment pattern design. Comput. Aided Des. 40, 1094–1104 (2008)
Kielarova, S.W., Pradujphongphet, P., Nakmethee, C.: Development of computer-aided design module for automatic gemstone setting on halo ring. KKU Eng. J. 43, 239–243 (2016)
McNeel, R.: Rhinoceros 3D Modelling Software (2020)
Davidson, S.: Grasshopper-algorithmic modeling for rhino (2020)
Rutten D: Galapagos evolutionary solver (2020)
Acknowledgments
This research has been conducted with the financial support of Faculty of Engineering, Naresuan University with the Project Contract No. R2562E009 and PhD scholarship. The author would like to gratefully thank all participants for their collaboration in this research.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Kielarova, S.W., Pradujphongphet, P. (2020). Collaborative Product Design for Product Customization: An Industrial Case of Fashion Product. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2020. Lecture Notes in Computer Science(), vol 12341. Springer, Cham. https://doi.org/10.1007/978-3-030-60816-3_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-60816-3_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-60815-6
Online ISBN: 978-3-030-60816-3
eBook Packages: Computer ScienceComputer Science (R0)