Abstract
As market diversity and customization requirements surge, the complexity of new product development escalates, making conventional approaches inadequate. Existing research overlooks dynamic design patterns, detached from product family evolution and innovative design. Notably, characterizations of product evolution properties are absent limiting guidance for new product design decisions. Leveraging the unique capabilities of network evolution dynamics, this study introduces an innovative product family modeling approach. Furthermore, we conduct the research conducts in-depth topological analyses to identify and predict the evolutionary trends. Additionally, we present and meticulously quantify novel node evolution modes to anticipate the conceptual framework of future product generations. The efficacy of this method is rigorously verified through its case study in blender design, demonstrating its potential to bridge the gap between product family evolution and innovative design, thereby offering a new perspective for conceptual design.
| Original language | English |
|---|---|
| Journal | Journal of Intelligent Manufacturing |
| DOIs | |
| Publication status | Accepted/In press - 2025 |
Keywords
- Data-driven modeling
- Decision making
- Network evolution dynamics
- Product design
- Product engineering
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