資料來源:
三民書局
Production planning and control in semiconductor manufacturing : big data analytics and Industry 4.0 applications / Tin-Chih Toly Chen.
- 作者： Chen, Tin-Chih Toly, author.
- 其他題名：
- Big data analytics and Industry 4.0 applications
- SpringerBriefs in applied sciences and technology.
- 出版： Cham, Switzerland : Springer c2023.
- 叢書名： SpringerBriefs in applied sciences and technology,
- 主題： Semiconductor industry--Production control. , Product coding--Case studies. , Product coding. , Semiconductor industry--Production control. , Case studies.
- ISBN： 9783031140648 (pbk.) :: NT$1477 、 3031140648 (pbk.)
- 書目註：Includes bibliographical references.
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讀者標籤：
- 系統號： 005175611 | 機讀編目格式
館藏資訊
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.
摘要註
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.
內容註
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.