Driven by the evolving customer requirements and the advancement of key technologies, design changes broadly exist in the lifecycle of the complex product. And as a popular engineering management strategy, the modularization strategy has been widely applied in the research and development process of complex products. However, most of the existing modularization methods do not consider the issue of design change management. Under this circumstance, the “avalanche effect” of the design change propagation might be magnified due to the inappropriate modular structure. Thus, to decrease the effect of the design change propagation, a novel modularization method of the complex product is proposed incorporating the modularity and the scope of design change propagation (SDCP). Firstly, considering the functional and physical relationship between components, the correlation matrix that is the adjacency matrix of the related weighted and directed network model is constructed. Secondly, the indexes of modularity and SDCP are defined based on the predetermined network model and correlation matrix, respectively. Thirdly, taking the modularity and the SDCP as the optimization objectives, a bi-objective optimization model is built for the modularization of the complex product, and then the model is solved by the Non-dominated Sorting Genetic Algorithm-II (NSGA-II). Finally, the modularization of the cab for a specific electronic sanitation vehicle is implemented as the case study to expound the utility and effectiveness of the proposed methodology.

在不断变化的客户需求和关键技术进步的推动下，设计变更广泛存在于复杂产品的生命周期中。而作为一种流行的工程管理策略，模块化策略在复杂产品的研发过程中得到了广泛的应用。然而，现有的大多数模块化方法都没有考虑设计变更管理的问题。在这种情况下，不恰当的模块化结构可能会放大设计变更传播的“雪崩效应”。因此，为了减少设计变更传播的影响，提出了一种结合模块化和设计变更传播（SDCP）范围的复杂产品模块化方法。首先，考虑组件之间的功能和物理关系，构建相关矩阵，即相关的加权有向网络模型的邻接矩阵。其次，根据预先确定的网络模型和相关矩阵分别定义了模块性和SDCP的指标。第三，以模块化和SDCP为优化目标，建立复杂产品模块化的双目标优化模型，然后通过非支配排序遗传算法-II（NSGA-II）求解模型. 最后，以特定电子环卫车驾驶室的模块化作为案例研究，阐述了所提出方法的实用性和有效性。模块性指标和SDCP指标分别基于预先确定的网络模型和相关矩阵定义。第三，以模块化和SDCP为优化目标，建立复杂产品模块化的双目标优化模型，然后通过非支配排序遗传算法-II（NSGA-II）求解模型. 最后，以特定电子环卫车驾驶室的模块化作为案例研究，阐述了所提出方法的实用性和有效性。模块性指标和SDCP指标分别基于预先确定的网络模型和相关矩阵定义。第三，以模块化和SDCP为优化目标，建立复杂产品模块化的双目标优化模型，然后通过非支配排序遗传算法-II（NSGA-II）求解模型. 最后，以特定电子环卫车驾驶室的模块化作为案例研究，阐述了所提出方法的实用性和有效性。然后通过非支配排序遗传算法-II (NSGA-II) 求解模型。最后，以特定电子环卫车驾驶室的模块化作为案例研究，阐述了所提出方法的实用性和有效性。然后通过非支配排序遗传算法-II (NSGA-II) 求解模型。最后，以特定电子环卫车驾驶室的模块化作为案例研究，阐述了所提出方法的实用性和有效性。