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Production planning and control in semiconductor manufacturingbig data analytics and Industry 4.0 applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Production planning and control in semiconductor manufacturingby Tin-Chih Toly Chen.
Reminder of title:	big data analytics and Industry 4.0 applications /
Author:	Chen, Tin-Chih Toly.
Published:	Cham :Springer International Publishing :2023.
Description:	vi, 100 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Semiconductor industryProduction control.
Online resource:	https://doi.org/10.1007/978-3-031-14065-5
ISBN:	9783031140655$q(electronic bk.)

Production planning and control in semiconductor manufacturingbig data analytics and Industry 4.0 applications /
Chen, Tin-Chih Toly.

Production planning and control in semiconductor manufacturingbig data analytics and Industry 4.0 applications /[electronic resource] :by Tin-Chih Toly Chen. - Cham :Springer International Publishing :2023. - vi, 100 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-5318. - SpringerBriefs in applied sciences and technology..

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.

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.

ISBN: 9783031140655$q(electronic bk.)

Standard No.: 10.1007/978-3-031-14065-5doiSubjects--Topical Terms:

953719
Semiconductor industry
--Production control.

LC Class. No.: HD9696.S42

Dewey Class. No.: 338.4762138152

Production planning and control in semiconductor manufacturingbig data analytics and Industry 4.0 applications /
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520 $a 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.
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