An analysis method for change propagation based on product feature network
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ORIGINAL PAPER
An analysis method for change propagation based on product feature network Liang Chen1 · Yu Zheng1 · Juntong Xi1 · Shaoyang Li2 Received: 16 August 2019 / Revised: 18 August 2020 / Accepted: 2 September 2020 / Published online: 17 September 2020 © Springer-Verlag London Ltd., part of Springer Nature 2020
Abstract At present, how to evaluate the impact of product design changes in product development process has been a problem to be solved. The research on product design changes has gradually shifted from the component level to the product feature level. Therefore, the components are divided into feature level, and a product feature network is built to analyse the propagation of changes. Because it is not unique to divide features of the component, three-dimensional (3D) entities are used to transit components into 2D features. The strong and weak ties are defined according to the relationship between the divided features, the product feature network is constructed by the divided features and defined ties. Three discrete states of feature nodes are defined based on the change propagation model and the meaning of change propagation index (CPI) in the feature network is proposed. By analysing two types of product feature change propagation and calculating its change probability, the impact of change propagation in the network can be evaluated. Finally, the feasibility of the proposed model is verified by constructing a featured network of a pumping unit and analysing its change propagation. Keywords Component features · Complex networks · Change propagation · Propagation impact
1 Introduction In the product design process, designed products are often changed for various reasons, such as demand changes, design errors, etc. (Hu and Cardin 2015). Product design changes need to balance change costs, implementation risks, design plan, product quality, and more (Cheng and Chu 2012). And parts of products, especially the parts of complex products, are usually closely connected. Changes in one component can affect other components and eventually propagate among parts widely (Eckert et al. 2004). So product design changes often lead to unpredictable results due to change propagation. Eckert et al. (2001) and Jarratt et al. (2002) divided the change propagation into a ripple of change, blossom of change, and avalanche of change according to the change impact during the change propagation process. They found that, during the change propagation process, ripple
* Yu Zheng [email protected] 1
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
Shanghai Institute of Aerospace System, Shanghai, China
2
of change and blossom of change would decrease or keep changes within an acceptable range, and avalanche of change would eventually lead to uncontrollable changes. In actual production, product design changes are essential processes for eliminating initial design errors and adapting products to new requirements (Lindemann and Reichwald 1998). Design changes are closely relate
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