2021
DOI: 10.1080/00207543.2021.1901155
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Towards understanding dynamic design change propagation in complex product development via complex network approach

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Cited by 15 publications
(12 citation statements)
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“…On the other hand, basing on the Hall–Petch relationship, the refinement in grains improves the mechanical properties of metals. ,, As mentioned above, Zn-CNTs@Ag have finer and more uniform crystal grains than Zn-CNTs (Figure ), which is also considered to enhance the mechanical properties. Similarly, Nai et al .…”
Section: Resultsmentioning
confidence: 97%
See 1 more Smart Citation
“…On the other hand, basing on the Hall–Petch relationship, the refinement in grains improves the mechanical properties of metals. ,, As mentioned above, Zn-CNTs@Ag have finer and more uniform crystal grains than Zn-CNTs (Figure ), which is also considered to enhance the mechanical properties. Similarly, Nai et al .…”
Section: Resultsmentioning
confidence: 97%
“…The grain growth in the (0001) orientation is further weakened, while the grain growth in (21̅ 1̅ 0) and (101̅ 0) orientations is persistently enhanced. 32 In other words, the texture intensity of Zn-CNTs@Ag was weakened compared with Zn-CNTs.…”
Section: Resultsmentioning
confidence: 99%
“…Especially, when the mean value of index data is not 0, the Gini coefficient is calculated by the improved formula (14). When the mean value of the index data is 0, the Gini Discrete Dynamics in Nature and Society coefficient of the index is calculated by the original formula (15). e Gini coefficient of the index truly reflects the data changes of different evaluation objects of the index.…”
Section: Weight Determination Methods Based On Gini Coefficientmentioning
confidence: 99%
“…Li et al [14] focused on the impacts of organization-component executing patterns on the risk propagation in CPD interdependent networks considering the limited risk resisting capacity of organizations. Li et al [15] developed a general model based on complex network to depict the dynamic design change propagation. Numerical simulations are conducted to explore the general law of the propagation and investigate the influences of design change tolerance capacity distribution (alpha, beta), attack strategies, and recovery capacity (gamma).…”
Section: Literature Reviewmentioning
confidence: 99%
“…The way a change propagates or gets absorbed depends on margins in a designed system, which can buffer such changes (Long and Ferguson 2019;Li et al 2021a;Brahma and Wynn 2021). The way designers allocate margin, therefore, has the capability to influence change propagation (Eckert et al 2004).…”
Section: Change Propagation May Be Absorbed By Design Marginsmentioning
confidence: 99%