Multi-source Design Change Propagation Path Optimization for Complex Product Based on Weighted and Directed Network Model

Li, Yupeng; Li, Mengze; Wang, Zhaotong

doi:10.3901/jme.2019.06.213

Cited by 17 publications

(1 citation statement)

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“…Li and Lin emphasized the parallel change propagation strategy to search for the shortest propagation path with the smallest time of design change [38]. Li proposed a multi-source design change routing methodology based on a directed and weighted network model, and an optimization model to minimize change propagation intensity was constructed [39]. Li introduced the multi-network theory to establish an optimization model aiming at minimizing change propagation intensity, change task execution time, and change cost, and the optimization scheme of change propagation path was solved by an improved genetic algorithm [40].…”

Section: Design Change Management Researchmentioning

confidence: 99%

Research on Control Strategy of Design Change Cross-Module Propagation

Ren

et al. 2022

Symmetry

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In the process of product design, design changes are unavoidable due to the diversification of customer requirements and the advancement of key technologies. Although modules are supposed to be functionally independent and “low-coupling” in modular products, the design change in a module can still propagate into other modules due to the interfaces among them, and this propagation increases the product development lead-time and costs. This study aims to solve the problem of cross-module propagation in design change. First, the dependence of modules on interfaces is analyzed from the perspectives of complex network characteristics, change propagation characteristics, and cost dependence, and then the correlation between modules is determined. Second, the cross-module change propagation impact is evaluated considering node importance, change cost, and propagation path length. The control strategies of cross-module design change propagation are proposed from the aspects of increasing the tolerance of interface and reducing the dependence of modules on interface, etc. Finally, a certain type of sanitation vehicle cab is utilized as an example to demonstrate the assessment process of the cross-module propagation impact of design change and to verify the feasibility of the proposed method and control strategies.

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Section: Design Change Management Researchmentioning

confidence: 99%