1.

Record Nr.

UNINA9910726289103321

Autore

Li Li <1894-1962, >

Titolo

Data-Driven Scheduling of Semiconductor Manufacturing Systems / / by Li Li, Qingyun Yu, Kuo-Yi Lin, Yumin Ma, Fei Qiao

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023

ISBN

9789811975882

9789811975875

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (276 pages)

Collana

Advanced and Intelligent Manufacturing in China, , 2731-5991

Disciplina

810

Soggetti

Electronics

Computational intelligence

Industrial engineering

Production engineering

Engineering—Data processing

Electronics and Microelectronics, Instrumentation

Computational Intelligence

Industrial and Production Engineering

Data Engineering

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

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.

Sommario/riassunto

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. .