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Data-driven scheduling of semiconductor manufacturing systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data-driven scheduling of semiconductor manufacturing systemsby Li Li ... [et al.].
other author:	Li, Li.
Published:	Singapore :Springer Nature Singapore :2023.
Description:	1 online resource (xi, 266 p.) :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Production scheduling.
Online resource:	https://doi.org/10.1007/978-981-19-7588-2
ISBN:	9789811975882$q(electronic bk.)

Data-driven scheduling of semiconductor manufacturing systems
Data-driven scheduling of semiconductor manufacturing systems[electronic resource] /by Li Li ... [et al.]. - Singapore :Springer Nature Singapore :2023. - 1 online resource (xi, 266 p.) :ill. (some col.), digital ;24 cm. - Advanced and intelligent manufacturing in China,2731-5991. - Advanced and intelligent manufacturing in China..

Semiconductor Manufacturing System Scheduling -- Data-driven Scheduling Framework of Semiconductor Manufacturing System -- Data Preprocessing of Semiconductor Manufacturing System -- Correlation Analysis of Performance Index of Semiconductor Production Line -- Data-driven Feeding Control of Semiconductor Manufacturing System -- Dynamic Scheduling of Semiconductor Manufacturing System Driven by Data -- Dynamic Scheduling of Performance-Driven Semiconductor Manufacturing System -- Development Trend of Semiconductor Manufacturing System Scheduling in Big Data Environment.

This book systematically discusses the intelligent scheduling problem of complex semiconductor manufacturing systems from theory to method and then to application. The main contents include data-driven scheduling framework of semiconductor manufacturing system, data preprocessing of semiconductor manufacturing system, correlation analysis of performance index of semiconductor production line, intelligent release control strategy, dynamic dispatching rules simulating pheromone mechanism, and load balancing dynamic scheduling of semiconductor production line, performance index-driven dynamic scheduling method of semiconductor production line, scheduling trend of semi-conductor manufacturing system in big data environment. This book aims to provide readers with valuable reference and assistance in the theoretical methods, techniques, and application cases of semiconductor manufacturing systems and their intelligent scheduling.

ISBN: 9789811975882$q(electronic bk.)

Standard No.: 10.1007/978-981-19-7588-2doiSubjects--Topical Terms:

202753
Production scheduling.

LC Class. No.: TS157.5

Dewey Class. No.: 658.53

Data-driven scheduling of semiconductor manufacturing systems
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245 0 0 $a Data-driven scheduling of semiconductor manufacturing systems $h [electronic resource] / $c by Li Li ... [et al.].
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a 1 online resource (xi, 266 p.) : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Advanced and intelligent manufacturing in China, $x 2731-5991
505 0 $a Semiconductor Manufacturing System Scheduling -- Data-driven Scheduling Framework of Semiconductor Manufacturing System -- Data Preprocessing of Semiconductor Manufacturing System -- Correlation Analysis of Performance Index of Semiconductor Production Line -- Data-driven Feeding Control of Semiconductor Manufacturing System -- Dynamic Scheduling of Semiconductor Manufacturing System Driven by Data -- Dynamic Scheduling of Performance-Driven Semiconductor Manufacturing System -- Development Trend of Semiconductor Manufacturing System Scheduling in Big Data Environment.
520 $a This book systematically discusses the intelligent scheduling problem of complex semiconductor manufacturing systems from theory to method and then to application. The main contents include data-driven scheduling framework of semiconductor manufacturing system, data preprocessing of semiconductor manufacturing system, correlation analysis of performance index of semiconductor production line, intelligent release control strategy, dynamic dispatching rules simulating pheromone mechanism, and load balancing dynamic scheduling of semiconductor production line, performance index-driven dynamic scheduling method of semiconductor production line, scheduling trend of semi-conductor manufacturing system in big data environment. This book aims to provide readers with valuable reference and assistance in the theoretical methods, techniques, and application cases of semiconductor manufacturing systems and their intelligent scheduling.
650 0 $a Production scheduling. $3 202753
650 0 $a Semiconductor industry. $3 249520
650 1 4 $a Electronics and Microelectronics, Instrumentation. $3 274412
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Industrial and Production Engineering. $3 273753
650 2 4 $a Data Engineering. $3 839346
700 1 $a Li, Li. $3 680562
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Advanced and intelligent manufacturing in China. $3 944053
856 4 0 $u https://doi.org/10.1007/978-981-19-7588-2
950 $a Engineering (SpringerNature-11647)