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2023 | Book

Production Planning and Control in Semiconductor Manufacturing

Big Data Analytics and Industry 4.0 Applications

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About this book

This book systematically analyzes the applicability of big data analytics and Industry 4.0 from the perspective of semiconductor manufacturing management. It reports in real examples and presents case studies as supporting evidence. In recent years, technologies of big data analytics and Industry 4.0 have been frequently applied to the management of semiconductor manufacturing. However, related research results are mostly scattered in various journal issues or conference proceedings, and there is an urgent need for a systematic integration of these results. In addition, many related discussions have placed too much emphasis on the theoretical framework of information systems rather than on the needs of semiconductor manufacturing management. This book addresses these issues.

Table of Contents

Frontmatter
Chapter 1. Big Data Analytics for Semiconductor Manufacturing
Abstract
Big data involves datasets of sizes that exceed the capabilities of typical database software tools to capture, store, manage, and analyze [1]. The definition of big data analytics can be viewed from various perspectives.
Tin-Chih Toly Chen
Chapter 2. Industry 4.0 for Semiconductor Manufacturing
Abstract
The fourth industrial revolution, or Industry 4.0, was introduced by the German government to build smart factories, which is viewed as the ultimate realization of smart manufacturing.
Tin-Chih Toly Chen
Chapter 3. Cycle Time Prediction and Output Projection
Abstract
The cycle time (or manufacturing lead time) of a job is the time it takes for the job to pass through a factory and can be calculated by subtracting the release time from the output time.
Tin-Chih Toly Chen
Chapter 4. Defect Pattern Analysis, Yield Learning Modeling, and Yield Prediction
Abstract
After wafer fabrication, many defects may spread across the surface of a wafer. There may be multiple defects on a die.
Tin-Chih Toly Chen
Chapter 5. Job Sequencing and Scheduling
Abstract
The semiconductor manufacturing process typically consists of four stages: wafer fabrication, wafer probe, assembly, and final test.
Tin-Chih Toly Chen
Metadata
Title
Production Planning and Control in Semiconductor Manufacturing
Author
Tin-Chih Toly Chen
Copyright Year
2023
Electronic ISBN
978-3-031-14065-5
Print ISBN
978-3-031-14064-8
DOI
https://doi.org/10.1007/978-3-031-14065-5

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