학술논문

Expediting manufacturing safe launch with Big Data AI/ML analytic solutions on the cloud
Document Type
Conference
Source
2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM) Electron Devices Technology & Manufacturing Conference (EDTM), 2024 8th IEEE. :1-3 Mar, 2024
Subject
Bioengineering
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Photonics and Electrooptics
Measurement
Image edge detection
Data integrity
Data integration
Companies
Big Data
Production facilities
Yield Management System
Manufacturing
New Product Introduction (NPI)
Language
Abstract
With highly competitive time-to-market and time-to-volume windows, IC suppliers need to be able to release new products to production (NPI) in a timely manner with competitive manufacturing metrics. Manufacturing yield, test time and quality are important metrics in NPI to manufacturing safe launch. A powerful yield management system is crucial to achieve the goal metrics. In this paper, recommended yield management system selection criteria, data integration methodology and innovative ways of using the selected yield management system to benefit safe launch efficiency are introduced. Three examples of using a cloud yield tool to expedite yield learning, test time reduction (TTR) and quality enhancement are presented.