Production Planning and Control in Semiconductor Manufacturing

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.

Demonstrates the applicability of big data analytics on industry Analyses the application of big data on semiconductor manufacturing Includes real-world case studies

Autorentext

Dr. Chen has been guest edited several special issues on mobile healthcare-related topics for journals including Health Care Management Science, Journal of Ambient Intelligence and Humanized Computing, International Journal of Intelligent Systems, etc. He has also published papers on mobile healthcare in journals such as International Journal of Intelligent Systems, Journal of Ambient Intelligence and Humanized Computing, Health Care Management Science, Cognitive Computation, Health Policy and Technology, Digital Health, etc.

Inhalt
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.<p