Process-Quality Evaluation for Wire Bonding With Multiple Gold Wires

雷达图 模糊逻辑 计算机科学 数据挖掘 可靠性工程 过程能力 算法 人工智能 数学 统计 工程类 在制品 运营管理
作者
Chun-Min Yu,Kuei‐Kuei Lai,Kuen‐Suan Chen,Tsang-Chuan Chang
出处
期刊:IEEE Access [Institute of Electrical and Electronics Engineers]
卷期号:8: 106075-106082 被引量:31
标识
DOI:10.1109/access.2020.2998463
摘要

Taiwan is a world-leader in wafer foundry services and IC packaging and testing.Wire bonding is a crucial process in the overall IC-packaging industry chain.Thus, this paper proposes a process-quality evaluation model for wire bonding with multiple gold wires.We chose process quality indices as a tool of evaluation fully mirroring process yield and quality levels.These indices contain unknown parameters and thus require sample data to estimate.We first derived the uniformly minimum variance unbiased estimator of the indices and calculated the upper confidence limits of the indices based on DeMorgan's theorem and Boole's inequality.The upper confidence limits of the indices were then employed to create a confidence interval-based fuzzy membership function, in order to improve the accuracy of estimation as well as solve the problem of uncertainty of the measured data.Next, we obtained the fuzzy critical value and used index estimates and the fuzzy critical value to establish fuzzy test rules.Next, we marked the fuzzy critical value on the axes of a radar chart, which is a visualization evaluation tool, and connected neighboring critical points to create a critical region in the form of a regular polygon.The observed values of the indices were then marked on the axes to produce a visualized fuzzy radar evaluation chart.This fuzzy radar evaluation chart has a solid foundation in statistical inference, and evaluation rules were established using precise fuzzy test methods.Not only is this fuzzy radar evaluation chart easy to use, but it also reduces the chance of misinterpretations made by sampling errors, so that the accuracy of evaluation can be enhanced.
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