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Research on propagation routing optimisation of product design change considering multi-domain network collaboration.
- Source :
- Journal of Engineering Design; Apr2024, Vol. 35 Issue 4, p430-459, 30p
- Publication Year :
- 2024
-
Abstract
- As the product life cycle progresses, the impact of product design change gradually extends from design to production and supply. Companies must minimise the impact of design change dissemination to improve delivery speed and enhance corporate competitiveness. Considering that design change will causes change in other links of product, enterprises need to establish an evaluation index system to explore the influence of multiple fields on the change propagation intensity. Therefore, this paper proposes an optimisation model of design change propagation routing based on multi-domain network collaboration for enterprises to evaluate intensity of change propagation. Firstly, component, production and supply networks are constructed based on complex network theory and mapped to multi-domain networks. Secondly, the optimisation model of change propagation routing is established. By quantifying the change propagation probability, node crucial, change cost and change time, the minimum value of change propagation intensity of multi-domain network collaborative design is calculated. Finally, taking the medical call system as an example, the hybrid genetic ant colony algorithm is used to find the optimal change propagation routing of multi-domain network collaboration, which demonstrates the effectiveness of the proposed method and provides a reference for enterprises to minimise the impact of product design change propagation. [ABSTRACT FROM AUTHOR]
- Subjects :
- PRODUCT design
PRODUCT life cycle
ANT algorithms
CHANGE-point problems
Subjects
Details
- Language :
- English
- ISSN :
- 09544828
- Volume :
- 35
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Journal of Engineering Design
- Publication Type :
- Academic Journal
- Accession number :
- 176211986
- Full Text :
- https://doi.org/10.1080/09544828.2024.2318993