转化(遗传学)
半导体器件制造
计算机科学
过程(计算)
光掩模
十字线
制造工程
分析
工业工程
系统工程
工程制图
数据挖掘
工程类
操作系统
图层(电子)
薄脆饼
有机化学
化学
电气工程
基因
生物化学
抵抗
作者
Shu‐Kai S. Fan,Ming-Shen Chen,Chia‐Yu Hsu,You‐Jin Park
标识
DOI:10.1080/21681015.2023.2279101
摘要
This paper proposes a new enterprise intelligentization framework, by making the transition from process transformation to artificial intelligence (AI) transformation. The novel transformation framework can be decomposed into the conceptual model of AI strategic planning, the procedural model, the operational model, and the analytics model. For leading-edge microchip production, a new AI transformation project regarding the reticle SMIF pod (RSP) transport system designed by a medium-sized semiconductor tool vendor in Taiwan is presented. The technical advantages, gained from the implementation of the presented AI transformation project, over the existing RSP systems are manifold. The throughput and yield rate significantly increase on a semiconductor-fabrication-plant basis. The clean room construction costs less by approximately 3 million dollars per FAB, mainly attributed to the redesigned automatic optical inspection flow. The proposed model-based framework proves to be a viable tool from the process transformation to the AI transformation in the semiconductor manufacturing.
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