2017
DOI: 10.1016/j.eng.2017.04.005
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A Research Review on the Key Technologies of Intelligent Design for Customized Products

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Cited by 32 publications
(18 citation statements)
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“…Intelligent design for customized products is a trend (Zhang et al, 2017). In addition to the technological innovation, the product development process should include style references (colors, pattern), comfort (sizes, formats, materials) and individual's context (culture, social habits, preferences).…”
Section: Objects Of Study: Discussion and Comparison Between Conventimentioning
confidence: 99%
“…Intelligent design for customized products is a trend (Zhang et al, 2017). In addition to the technological innovation, the product development process should include style references (colors, pattern), comfort (sizes, formats, materials) and individual's context (culture, social habits, preferences).…”
Section: Objects Of Study: Discussion and Comparison Between Conventimentioning
confidence: 99%
“…Decisions on the home health care plans made for patients can be seen as analogous to the elicitation of and response to "customer requirements". A potentially relevant stream of research is that dealing with intelligent design for customised products, defined by Zhang et al (2017) as products "designed to satisfy the customer's individual and diversified requirements as quickly and at as low a cost as possible". They cite Quality Function Deployment (Akao, 2004) as one approach to map product features to customer requirements that has been used in service design (see for instance Yan et al, 2016).…”
Section: Approaches From the Non-hhc Literaturementioning
confidence: 99%
“…These technologies impact at different levels and strongly affect the product customization. In particular, they contribute in fostering the transition from the traditional mass production to the mass customization, where products are co-designed by producers and customers, and processes have to allow the production of single pieces in a reduced time to market (Helms et al, 2008;Zhang et al, 2017). Focusing on the industrial sector object of the present study, i.e.…”
Section: Introductionmentioning
confidence: 99%