The evolution of customer requirements and key technologies makes design change unavoidable. Because of the functional and physical relations among parts and components, design change will propagate from one part to another. With the increase in product complexity, design change will always be derived from multiple sources, which is rarely studied, and monetary and time losses can be caused without effective control of multi-source changes. The ability to predict change propagation paths, and evaluate the impact early in the design process will enable engineers to make informed decisions regarding change implementation. This paper proposes a design change routing (DCR) approach based on a multi-view complex network model for the multi-source design change. First, single-view network models are built considering the functions and physical relations. A difference index between these single-view network models is defined and used in a weighted least square method to optimise the weights of each single-view network model to obtain the multi-view network model. Then, a multi-objective model is constructed to establish a DCR with multiple sources considering the cost, design change intensity, and path length. The non-dominated sorting genetic algorithm II (NSGA-II) with a parallel search strategy is developed to solve the model.

中文翻译：

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基于多视图复杂网络模型的多源设计变更传播路径优化

客户需求和关键技术的演变使得设计变更不可避免。由于零部件之间的功能和物理关系，设计变更将从一个部分传播到另一个部分。随着产品复杂度的增加，设计变更总会衍生出多源，很少有人研究，如果没有有效控制多源变更，就会造成金钱和时间上的损失。预测变更传播路径并在设计过程的早期评估影响的能力将使工程师能够就变更实施做出明智的决策。本文针对多源设计变更提出了一种基于多视图复杂网络模型的设计变更路由（DCR）方法。首先，考虑功能和物理关系构建单视图网络模型。定义这些单视图网络模型之间的差异指数，并用加权最小二乘法优化每个单视图网络模型的权重，得到多视图网络模型。然后，构建多目标模型以建立考虑成本、设计变更强度和路径长度的多源DCR。开发了具有并行搜索策略的非支配排序遗传算法II（NSGA-II）来求解该模型。