A framework for capturing and applying design knowledge in new product development

2018 ◽  
Vol 11 (1) ◽  
pp. 23 ◽  
Author(s):  
Juliana Schmidt ◽  
Milton Borsato ◽  
Edmar Hinckel ◽  
Paulo Storrer ◽  
Eduardo Onofre ◽  
...  
2021 ◽  
Vol 1 ◽  
pp. 1303-1312
Author(s):  
Ricardo Real ◽  
Chris Snider ◽  
Mark Goudswaard ◽  
Ben Hicks

AbstractWhilst prior works have characterised the affordances of prototyping methods in terms of generating knowledge about a product or process, the types, or ‘dimensions’ of knowledge towards which they contribute are not fully understood. In this paper we adapt the concept of ‘design domains’ as a method to interpret, and better understand the contributions of different prototyping methods to design knowledge in new product development. We first synthesise a set of ten dimensions for design knowledge from a review of literature in design-related fields. A study was then conducted in which participants from engineering backgrounds completed a Likert-type questionnaire to quantify the perceived contributions to design knowledge of 90 common prototyping methods against each dimension. We statistically analyse results to identify patterns in the knowledge contribution of different methods. Results reveal that methods exhibit significantly different contribution profiles, suggesting different methods to be suited to different knowledge. Thus, this paper indicates potential for new methods, methodology and processes to leverage such characterisations for better selection and sequencing of methods in the prototyping process.


2018 ◽  
Vol 11 (1) ◽  
pp. 23
Author(s):  
Fabio Maccari ◽  
Eduardo Onofre ◽  
Paulo Storrer ◽  
Milton Borsato ◽  
Edmar Hinckel ◽  
...  

Author(s):  
Ricardo Real

Whilst prior works have characterised the affordances of prototyping methods in terms of generating knowledge about a product or process, the types, or ‘dimensions’ of knowledge towards which they contribute are not fully understood. In this paper we adapt the concept of ‘design domains’ as a method to interpret, and better understand the contributions of different prototyping methods to design knowledge in new product development. We first synthesise a set of ten dimensions for design knowledge from a review of literature in design-related fields. A study was then conducted in which participants from engineering backgrounds completed a Likert-type questionnaire to quantify the perceived contributions to design knowledge of 90 common prototyping methods against each dimension. We statistically analyse results to identify patterns in the knowledge contributions of different methods. Results reveal that methods exhibit significantly different contribution profiles, suggesting different methods to be suited to different knowledge generation. Thus, this paper indicates potential for new methods, methodology and processes to leverage such characterisations for better selection and sequencing of methods in the prototyping process.


2013 ◽  
Vol 39 (3) ◽  
pp. 2191-2203 ◽  
Author(s):  
Zhenyong Wu ◽  
X. G. Ming ◽  
Wenyan Song ◽  
Baoting Zhu ◽  
Zhitao Xu

2012 ◽  
Vol 591-593 ◽  
pp. 2376-2380
Author(s):  
Wei Wei Liu ◽  
Shu Ying Shen

With the purpose of conducting new product development or designing variant product quickly, designers need to acquire relevant design knowledge and historical experience; thus, design knowledge acquisition arose at the historic moment. In the light of basic principles, characteristics and process of adaptive genetic algorithm, some kind of design knowledge in repository need to be disposed with a series of operations such as selection, crossover and mutation etc. And with the desired requirements of that kind of mechanical products, we could get the similar design or sometimes the 'perfect' solution in the knowledge base. In this essay, we take manipulator for example to acquire design knowledge; it not only validates the effectiveness of this method but also provides a new reference of design knowledge acquisition in new product development.


2017 ◽  
Vol 2017 ◽  
pp. 24-28
Author(s):  
Fabio Shimabukuro Sandes ◽  
◽  
Fundacao Getulio Vargas

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