A data-driven cyber-physical approach for personalised smart, connected product co-development in a cloud-based environment

Pai Zheng (), Xun Xu and Chun-Hsien Chen
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Pai Zheng: Nanyang Technological University
Xun Xu: University of Auckland
Chun-Hsien Chen: Nanyang Technological University

Journal of Intelligent Manufacturing, 2020, vol. 31, issue 1, No 2, 3-18

Abstract: Abstract The rapid development of information and communication technology enables a promising market of information densely product, i.e. smart, connected product (SCP), and also changes the way of user–designer interaction in the product development process. For SCP, massive data generated by users drives its design innovation and somehow determines its final success. Nevertheless, most existing works only look at the new functionalities or values that are derived in the one-way communication by introducing novel data analytics methods. Few work discusses about an effective and systematic approach to enable individual user innovation in such context, i.e. co-development process, which sets the fundamental basis of the prevailing concept of data-driven design. Aiming to fill this gap, this paper proposes a generic data-driven cyber-physical approach for personalised SCP co-development in a cloud-based environment. A novel concept of smart, connected, open architecture product is hence introduced with a generic cyber-physical model established in a cloud-based environment, of which the interaction processes are enabled by co-development toolkits with smartness and connectedness. Both the personalized SCP modelling method and the establishment of its cyber-physical product model are described in details. To further demonstrate the proposed approach, a case study of a smart wearable device (i.e. i-BRE respiratory mask) development process is given with general discussions.

Keywords: Data-driven design; Open architecture product; Smart product; Cyber physical system; Cloud; Mass personalisation (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s10845-018-1430-y

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