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DESIGN FOR ROBUSTNESS OF MODULAR PRODUCT FAMILIES FOR CURRENT AND FUTURE MARKETS

机译:当前和未来市场模块化产品家族的鲁棒性设计

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摘要

This paper presents a modified Taguchi methodology to improve the robustness of modular product families against changes in customer requirements. The general research questions posed in this paper are: (1) How to effectively design a product family (PF) that is robust enough to accommodate future customer requirements? (2) How far into the future should the designers look to design a robust product family? An example of a simplified vacuum product family is used to illustrate our methodology. In the example, the customer requirements are selected as signal factors; the future changes of customer requirements are selected as noise factors; an index called the quality characteristic (QC) is set to evaluate the product vacuum family; and the module instance matrix (M) is selected as the control factor. Initially a relation between the objective function (QC) and the control factor (M) is established, and then the search space is systemically explored using the simplex method to determine the optimum M and the corresponding QC values. Next, various noise levels at different time points are introduced into the system. For each noise level, the optimal values of M and QC are computed and plotted on a QC-chart. The tunable time period of the control factor (in the example, the module matrix, M) is computed using the QC-chart. The tunable time period represents the maximum time for which a given module matrix can be used to satisfy the current and future customer needs. Finally, a robustness index is used to break up the tunable time period into suitable time periods that the designers should focus on while designing product families.
机译:本文提出了一种改进的Taguchi方法,以提高模块化产品系列针对客户需求变化的稳定性。本文提出的一般研究问题是:(1)如何有效设计足够强大以适应未来客户需求的产品系列(PF)? (2)设计师应该在多远的将来设计出强大的产品系列?一个简化的真空产品系列的示例用于说明我们的方法。在该示例中,选择了客户需求作为信号因子;选择客户需求的未来变化作为噪声因素;设置一个称为质量特性(QC)的指标来评估产品真空系列;选择模块实例矩阵(M)作为控制因子。首先建立目标函数(QC)和控制因子(M)之间的关系,然后使用单纯形法系统地探索搜索空间,以确定最佳M和相应的QC值。接下来,将不同时间点的各种噪声级别引入系统。对于每个噪声水平,计算M和QC的最佳值,并将其绘制在QC图上。使用QC图计算控制因子的可调时间段(在示例中为模块矩阵M)。可调时间段表示可以使用给定模块矩阵满足当前和将来客户需求的最长时间。最后,稳健性指标用于将可调时间段分解为设计师在设计产品系列时应关注的合适时间段。

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