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.
eBook - ePub
Production Planning and Control in Semiconductor Manufacturing
Big Data Analytics and Industry 4.0 Applications
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Production Planning and Control in Semiconductor Manufacturing
Big Data Analytics and Industry 4.0 Applications
About this book
Information
Subtopic
OperationsTable of contents
- Cover
- Front Matter
- 1. Big Data Analytics for Semiconductor Manufacturing
- 2. Industry 4.0 for Semiconductor Manufacturing
- 3. Cycle Time Prediction and Output Projection
- 4. Defect Pattern Analysis, Yield Learning Modeling, and Yield Prediction
- 5. Job Sequencing and Scheduling
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Yes, you can access Production Planning and Control in Semiconductor Manufacturing by Tin-Chih Toly Chen in PDF and/or ePUB format, as well as other popular books in Technik & Maschinenbau & Operations. We have over 1.5 million books available in our catalogue for you to explore.