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- W2371444162 abstract "Aiming at the characteristics of long process and lots of product types in cold rolling sheet production line and in order to increase the delivery on-time ratio of production order,the orders within a certain period were processed in groups and the batches' processing time on each machine was predicted by a fuzzy method.A fuzzy batch production scheduling model based on cold rolling line was established,in which each batch was regarded as the basic scheduling unit.This model was summarized as a kind of fuzzy Job Shop scheduling problem,which was solved by the Modified Partheno-Genetic Algorithm(MPGA)and a special neighborhood search strategy.A large number of production data of a cold rolling plant in Shanghai Baosteel Co.Ltd.were simulated to verify the effectiveness of the proposed model and algorithm.Experimental results showed that the average satisfaction ratio of due-date could reach to more than 90%,which revealed that this presented method had satisfactory application effects." @default.
- W2371444162 created "2016-06-24" @default.
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- W2371444162 date "2008-01-01" @default.
- W2371444162 modified "2023-09-27" @default.
- W2371444162 title "Model and algorithm of grouping batch scheduling for cold rolling sheet production line" @default.
- W2371444162 hasPublicationYear "2008" @default.
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