A Tool for Decision Making in Manufacturing Process Flexible

Author

Senties, O.B. ; Lasserre, Alberto Aguilar ; Flores, Fernando Ortiz ; Osorio, Raül Torres ; de la Parra, J.P.N.

Author_Institution

Div. de Estudios de Posgrado e Investig., Inst. Tecnol. de Orizaba, Orizaba

fYear

2008

fDate

27-31 Oct. 2008

Firstpage

157

Lastpage

162

Abstract

Scheduling of semiconductor wafer fabrication system is identified as a complex problem, involving multiple and conflicting objectives (makespan and minimizing waiting time for instance) to satisfy. In this study, we propose an effective approach based an artificial neural network technique embedded in a multi-objective optimization loop for multi-decision scheduling problems in a semiconductor wafer fabrication environment.

Keywords

artificial intelligence; decision making; flexible manufacturing systems; integrated circuit manufacture; neural nets; optimisation; production engineering computing; scheduling; artificial neural network; decision making; flexible manufacturing process; multidecision scheduling problems; multiobjective optimization loop; semiconductor wafer fabrication system; Artificial intelligence; Artificial neural networks; Decision making; Delay; Fabrication; Genetic algorithms; Job shop scheduling; Manufacturing processes; Production; Semiconductor device modeling; genetic algorithm; neural network; simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence, 2008. MICAI '08. Seventh Mexican International Conference on

Conference_Location

Atizapan de Zaragoza

Print_ISBN

978-0-7695-3441-1

Type

conf

DOI

10.1109/MICAI.2008.29

Filename

4682458