DocumentCode
2320715
Title
Integrated intelligent optimized dynamic scheduling of semiconductor fabrication facilities
Author
Li, Li ; Qiao, Fei
Author_Institution
Sch. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China
fYear
2010
fDate
16-20 Aug. 2010
Firstpage
690
Lastpage
695
Abstract
Semiconductor wafer fabrication facilities (fabs) cry for optimized dynamic scheduling approach due to its high uncertainty and complexity. A novel intelligent optimized dynamic scheduling method, integrating intelligent sequencing with dynamic dispatching, is proposed (abbreviated as ODC). ODC includes three sub-algorithms, i.e., a Partheno-Genetic Algorithm (PGA) to obtain optimized sequencing plan, a dispatching rule (DR) to achieve dynamic dispatching solution and a coordination algorithm (CA) to integrate PGA with DR. A simplistic model, but with essential characteristics of semiconductor wafer fabs, is used to verify and validate the efficiency of ODC. It is shown that ODC is superior to PGA, DR and FIFO with better performance of mean cycle time (MCT), makespan and on-time delivery (OTD) under uncertain environments.
Keywords
genetic algorithms; production facilities; scheduling; semiconductor industry; Partheno-genetic algorithm; coordination algorithm; dispatching rule; dynamic dispatching; integrated intelligent optimized dynamic scheduling; intelligent sequencing; mean cycle time; on-time delivery; optimized sequencing plan; semiconductor wafer fabrication facilities; semiconductor wafer fabs; Biological cells; Dispatching; Dynamic scheduling; Electronics packaging; Heuristic algorithms; Job shop scheduling; Optimal scheduling; Scheduling; dispatching; intelligent; semiconductor manufacturing;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Logistics (ICAL), 2010 IEEE International Conference on
Conference_Location
Hong Kong and Macau
Print_ISBN
978-1-4244-8375-4
Electronic_ISBN
978-1-4244-8374-7
Type
conf
DOI
10.1109/ICAL.2010.5585372
Filename
5585372
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