Fuzzy Selection Model for Quality-Based IC Packaging Process Outsourcers

被引:11
|
作者
Chen, K. S. [1 ]
Yu, C. M. [1 ]
Huang, M. L. [1 ]
机构
[1] Natl Chin Yi Univ Technol, Dept Ind Engn & Management, Taichung 41170, Taiwan
关键词
Confidence-interval-based fuzzy testing meth; membership function of fuzzy number; outsourcer; six sigma quality index; alpha; -; cuts; PROCESS PERFORMANCE; SUPPLIER SELECTION; DECISION-MAKING; CONSTRUCTION; MANAGEMENT; INDUSTRY; POISSON; INDEX;
D O I
10.1109/TSM.2021.3125991
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The annual output value of Taiwan's wafer foundry and IC packaging test ranks first worldwide. The electronics industry has a complete industrial ecological chain in the supply chain system of global information and communication technology. In order to increase market competitiveness and increase the operational flexibility, manufacturing process outsourcing has become a trend in the business model of the electronics industry. The quality of the outsourcing affects the quality and function of the final product, the outsourcer selection is crucial to ensure the quality of the final product. This article takes the wire bonding process as an example, and proposes a fuzzy selection model of quality-based IC packaging process outsourcers. Then, this article selects the six standard deviation indicator that can fully reflect the process yield and quality level as the evaluation tool. Since the indicator contains unknown parameter, in order to improve the accuracy of estimation and overcome the uncertainty of measurement data, this paper applies mathematical programming to derive the confidence interval of six sigma quality index, and proposes a confidence-interval-based fuzzy testing meth as a green outsourcer selection tool to reduce the risk of misjudgment due to sampling errors and improve the accuracy of the selection.
引用
收藏
页码:102 / 109
页数:8
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