Research on Design Knowledge Acquisition of Manipulator Based on Adaptive Genetic Algorithm

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.

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):  
Juliana Schmidt ◽  
Milton Borsato ◽  
Edmar Hinckel ◽  
Paulo Storrer ◽  
Eduardo Onofre ◽  
...  

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

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Feng Zhang ◽  
Lei Zhu

PurposeFrom the dynamic capability perspective, the aim of this paper is to develop a conceptual framework for collaborative capability, including scanning, relational skills and adaptation and to test the impact of each dimension on the acquisition of technological and marketing knowledge from partners. The conceptual framework also suggests that these two types of knowledge acquisition have different impacts on new product development (NPD) creativity and speed.Design/methodology/approachThis study builds a theoretical framework and tests it with survey data from 289 Chinese manufacturing firms.FindingsFirms with strong collaborative capability are identified to gain better knowledge acquisition from their partners and achieve higher NPD performance. While acquired technological knowledge has a greater effect on NPD creativity than acquired marketing knowledge, the latter has a greater effect on NPD speed. In addition, these two types of knowledge acquisition form different mediating paths between collaborative capability and NPD performance.Practical implicationsThis study not only underlines the important role of collaborative capability in facilitating knowledge acquisition, which in turn improves NPD performance, but also suggests that decision-makers should note the different roles of technological knowledge and market knowledge in influencing NPD performance.Originality/valueThese findings enrich the understanding of how firms enhance NPD performance by developing collaborative capability in a major emerging economy (i.e. China). In addition to demonstrating the differential effects of heterogeneous knowledge acquisition on NPD performance, different pathways of mediation through knowledge acquisition are also identified in the relationship between collaborative capability and NPD outcomes.


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

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