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Production Planning and Control in Semiconductor Manufacturing : Big Data Analytics and Industry 4.0 Applications / by Tin-Chih Toly Chen.

Springer eBooks EBA - Engineering Collection 2023 Available online

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Format:
Book
Author/Creator:
Chen, Toly, 1969- author.
Series:
SpringerBriefs in Applied Sciences and Technology, 2191-5318
Language:
English
Subjects (All):
Industrial engineering.
Production engineering.
Internet of things.
Production management.
Cooperating objects (Computer systems).
Semiconductors.
Industrial and Production Engineering.
Internet of Things.
Production.
Cyber-Physical Systems.
Local Subjects:
Industrial and Production Engineering.
Internet of Things.
Production.
Cyber-Physical Systems.
Semiconductors.
Physical Description:
1 online resource (106 pages)
Edition:
1st ed. 2023.
Place of Publication:
2022.
Cham : Springer International Publishing : Imprint: Springer, 2023.
Summary:
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.
Contents:
Chapter 1. Big Data Analytics for Semiconductor Manufacturing
Chapter 2. Industry 4.0 for Semiconductor Manufacturing
Chapter 3. Cycle Time Prediction and Output Projection
Chapter 4. Defect Pattern Analysis, Yield Learning Modeling and Yield Prediction
Chapter 5. Job Sequencing and Scheduling.
ISBN:
3-031-14065-6
OCLC:
1528962095

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