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首页> 外文期刊>Advanced Science Letters >Improvement on Yield Rate and Tact Time of Anisotropic Conductive Film in TFTLCD Short Bar Attach Process Using Fuzzy Dominant Directed Graph Based Multi-Objective Optimization
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Improvement on Yield Rate and Tact Time of Anisotropic Conductive Film in TFTLCD Short Bar Attach Process Using Fuzzy Dominant Directed Graph Based Multi-Objective Optimization

机译：基于模糊显性有向图的多目标优化TFTLCD短棒贴合工艺中各向异性导电膜的合格率和节拍时间的提高

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This paper proposes a fuzzy-DDG (Dominant Directed Graph) method to solve the multi-objective optimization problem with regard to the ACF (Anisotropic Conductive Film) attach process for TFTLCD. As such, this paper's motivation is to decrease the usage of ACF materials in the ACF attach process. The experimental Taguchi method is used to find the optimal solution for this problem. This paper studies the optimization of yield rate and tact time with respect to the control factors of TFTLCD. In using the Taguchi method, five test cases are discussed: the first involves the optimal yield rate problem; the second, the optimal tact time problem; and the third, solving multiple problems by simultaneously considering yield rate and tact time. In addition, the conventional MPCI (Multiple Performance Characteristics Index) method is used, although it exhibits a less than optimal fuzzy inference structure, and fuzzification as well as defuzzification processes are required; in the fourth and fifth cases, a new fuzzy-DDG method is used to determine the multiple objective problems. Notably, the conventional fuzzy inference structure is not required in this algorithm: only graph-based matrix operations are required. Test results show that the fourth and the fifth cases are more convenient in regard to arithmetical operations/compared to the third case. The fourth case illustrates the problem with the vertex order included only; only crisp potential values are derived. The fifth case illustrates the problem with the vertex S/N ratio values included, and fuzzy potential values derived. Experiment results are provided to verify the validity of the proposed fuzzy-DDG method.
机译：本文提出了一种模糊DDG（Dominant Directed Graph）方法来解决TFTLCD的ACF（各向异性导电膜）附着工艺的多目标优化问题。因此，本文的动机是减少ACF附着过程中ACF材料的使用。实验性的Taguchi方法用于找到此问题的最佳解决方案。本文针对TFTLCD的控制因素研究了良率和节拍时间的优化。在使用Taguchi方法时，讨论了五个测试用例：第一个测试用例涉及最佳良率问题;第二，最佳间歇时间问题;第三，通过同时考虑成品率和间歇时间来解决多个问题。另外，尽管使用了传统的MPCI（多重性能特征指数）方法，但该方法的模糊推理结构不尽人意，并且需要进行模糊化和去模糊化处理。在第四和第五种情况下，使用一种新的模糊DDG方法确定多目标问题。值得注意的是，该算法不需要常规的模糊推理结构：仅需要基于图的矩阵运算。测试结果表明，与第三种情况相比，第四和第五种情况在算术运算方面更为方便。第四种情况说明了仅包含顶点顺序的问题;仅得出清晰的电势值。第五种情况说明了包含顶点S / N比值并导出模糊电位值的问题。实验结果证明了该方法的有效性。

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