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《Computer Integrated Manufacturing Systems》 2008-10
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Model and algorithm of grouping batch scheduling for cold rolling sheet production line

ZHAO Jun,WANG Wei,LIU Quan-li(Research Center of Information & Control,Dalian University of Technology,Dalian 116024,China)  
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.
【Fund】: 国家863计划资助项目(2007AA04Z156);; 国家自然科学基金资助项目(60604026)~~
【CateGory Index】: TG333
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