Research on Change Path Optimization for Complex Mechanical Products Considering upgrade Risk

Qin Zhang, Jinlong Pan, Hu Chen, Yixiong Feng, Zhaoxi Hong
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引用次数: 0

Abstract

Affected by uncertain factors such as customer demand, product design process will face with varying degrees of upgrade risk. In order to response to change requirements and reduce the impact of component changes, change path optimization for complex products considering upgrade risk is proposed. The goal of this work is to optimize change paths with multi-objective programming. The optimization model is constructed with the goal of minimizing the change complexity, the minimizing change propagation intensity and minimizing the change time. The improved whale algorithm is proposed to solve the model. A set of non-dominated solutions is obtained which can guide decision makers to choose the appropriate scheme. Finally, a product change path optimization for an elevator is given to verify the effectiveness of the proposed method.
考虑升级风险的复杂机械产品变更路径优化研究
受客户需求等不确定因素的影响,产品设计过程中会面临不同程度的升级风险。为了响应变更需求,降低部件变更的影响,提出了考虑升级风险的复杂产品变更路径优化方法。本研究的目标是利用多目标规划优化变更路径。以变更复杂性最小、变更传播强度最小和变更时间最小为目标构建优化模型。提出了改进的鲸鱼算法来求解该模型。得到了一组能指导决策者选择合适方案的非支配解。最后,以电梯产品变更路径优化为例,验证了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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