Modular product design with grouping genetic algorithm - a case study
Modular product design with grouping genetic algorithm - a case study
复制标题
DOI：
10.1016/j.cie.2004.01.007
复制
发表时间：
2004-06
期刊：
影响因子：
--
通讯作者：
V. Kreng;Tseng-Pin Lee
中科院分区：
文献类型：
--
作者：
V. Kreng;Tseng-Pin Lee
模块化产品是通过不同模块的组合来实现各种功能的产品。这些可拆卸模块是根据组件之间最大的物理和功能关系以及最大化特定模块驱动力的相似性来构建的。据此，提出了一种非线性规划方法来识别可分离模块并同时优化模块数量。本文提出了一个系统的方法来完成模块化产品设计的四个主要阶段。阶段1是通过功能和物理交互分析来形成组件到组件的关联矩阵。阶段2是探索设计需求，以评估每个模块驱动程序的相对重要性。在阶段3中，使用非线性规划来制定目标函数。最后，采用启发式分组遗传算法搜索最优或接近最优的模块化体系结构。以某原厂生产的电子消费品为例，说明了该过程及其应用。结果表明，设计人员可以根据模块驱动因素的相对重要性和组件之间的相互作用来指导构建产品模块的新方法。
Modular products are products that fulfill various functions through the combination of distinct modules. These detachable modules are constructed both according to the maximum physical and functional relations among components and maximizing the similarity of specifically modular driving forces. Accordingly, a non-linear programming is proposed to identify separable modules and simultaneously optimize the number of modules. This paper presents a systematic approach to accomplish modular product design in four major phases. Phase 1 is by means of functional and physical interaction analysis to format a component-to-component correlation matrix. Phase 2 is the exploration of design requirements to evaluate the relative importance of each modular driver. In phase 3, non-linear programming is used to formulate the objective function. In the final phase, a heuristic grouping genetic algorithm is adopted to search for the optimal or near-optimal modular architecture. This process and its application are illustrated by a real case of an electrical consumer product provided by an Original Design Manufacturer. The results demonstrate that the designer could direct a new approach to establish product modules according to the relative importance of modular drivers and the interaction among components.