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Balance problem research of the mixed model assembly line
Aiming at balancing the load of assembly line and the consumption rate of parts, establishing a multi-objective model of mixed assembly line. Using simulated annealing algorithm which can effectively solve NP-hard combinatorial optimization problems to solve production sequencing problem and to balance the assembly line. By analyzing the example results in different scaled from NEH and simulated annealing algorithm, verifying the effectiveness that simulated annealing algorithm can get better solution than NEH.
Balance problem research of the mixed model assembly line
Aiming at balancing the load of assembly line and the consumption rate of parts, establishing a multi-objective model of mixed assembly line. Using simulated annealing algorithm which can effectively solve NP-hard combinatorial optimization problems to solve production sequencing problem and to balance the assembly line. By analyzing the example results in different scaled from NEH and simulated annealing algorithm, verifying the effectiveness that simulated annealing algorithm can get better solution than NEH.
Balance problem research of the mixed model assembly line
Feng Jun-Xia, (Autor:in) / Wang Zhan-Zhong, (Autor:in) / Jin Feng-Hua, (Autor:in) / Yu Liu-Qing, (Autor:in)
01.01.2010
271516 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Mixed Model Assembly Line Scheduling Approach to Order Picking Problem in Online Supermarkets
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