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Customer driven mass-customisation and innovative product development with parametric design & generative modeling

Customer driven mass-customisation and innovative product development with parametric design & generative modeling

Le, Chi Hieu, Kasmaji, Wisnu Wijaya, Packianather, Michael S., Mengistu, Samuel, Tran, Duc Tang and Chu, Anh My (2017) Customer driven mass-customisation and innovative product development with parametric design & generative modeling. In: Proceedings of the 15th International Conference on Manufacturing Research. SAGE publishing, London. (In Press)

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Abstract

Mass customization is aimed at production of both goods and services to meet the particular needs of customers with levels of efficiency near that of mass production, and minimised product cost compared to customisation. The today’s trend of highly customised products and services creates technical challenges. In this study, the key challenges in innovative design and development of mass customized products are presented and discussed. The successfully developed case studies and solutions for mass-customisation are highlighted, with the use of the state-of-the art parametric design and generative modelling to provide (1) a rapid development of product varieties, (2) a better customer satisfaction via an efficient communication between customers and companies for a better understanding of customer need, with direct or indirect involvements of customers in design and product development, and (3) a reduced time to market of a product via the shorter time of product design and 3D modelling.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings of the 15th International Conference on Manufacturing Research
Additional Information: The International Conference on Manufacturing Research (ICMR2017), 5-7 September 2017, University of Greenwich, London.
Uncontrolled Keywords: Mass-customisation, Parametric Design, Generative Modeling
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Applied Engineering & Management
Last Modified: 21 Aug 2017 16:09
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/17553

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