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Matches in SemOpenAlex for { <https://semopenalex.org/work/W1993146062> ?p ?o ?g. }

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• W1993146062 abstract "Scheduling of semiconductor wafer fabrication system is identified as a complex problem, involving multiple objectives to be satisfied simultaneously (maximization of workstation utilization and minimization of waiting time and storage, for instance). In this study, we propose a methodology based on an artificial neural network technique, for computing the various objective functions, embedded into a multiobjective genetic algorithm for multidecision scheduling problems in a semiconductor wafer fabrication environment. A discrete event simulator, developed and validated in our previous works, serves here to feed the neural network. Six criteria related to both equipment (facility average utilization) and products (average cycle time (ACT), standard deviation of ACT, average waiting time, work in process, and total storage) are chosen as significant performance indexes of the workshop. The optimization variables are the time between campaigns and the release time of batches into the plant. An industrial size example is taken as a test bench to validate the approach." @default.
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• W1993146062 date "2009-04-21" @default.
• W1993146062 modified "2023-10-07" @default.
• W1993146062 title "A Neural Network and a Genetic Algorithm for Multiobjective Scheduling of Semiconductor Manufacturing Plants" @default.
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• W1993146062 doi "https://doi.org/10.1021/ie8018577" @default.
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