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ATO的物料需求预测与混流装配线排序研究
引用本文:老曼莎. ATO的物料需求预测与混流装配线排序研究[J]. 机电工程技术, 2009, 38(2): 78-80
作者姓名:老曼莎
作者单位:广东工业大学机电工程学院,广东广州,510006
摘    要:研究了面向订单装配有效实现的关键技术——物料需求预测分析、混流装配线的排序。用假设检验实现物料需求分析,以保持各种零部件的消耗率均匀为目标函数,用遗传算法进行混流装配线排序计算,结果表明了该方法的有效性。

关 键 词:面向订单装配  假设检验  混流装配线  排序  遗传算法

Research on the Material Assumed Forecasting and the Mixed-model Assembly Line Sequencing
LAO Man-sha. Research on the Material Assumed Forecasting and the Mixed-model Assembly Line Sequencing[J]. Mechanical & Electrical Engineering Technology, 2009, 38(2): 78-80
Authors:LAO Man-sha
Affiliation:Department of Mechatronics Engineering;Guangdong University of Technology;Guangzhou 510006;China
Abstract:Forecasting the material assumed and sequencing the mixed-model assembly line are key technologies to assemble to order.In this paper,hypothesis-test is used to forecasting the material assumed,and genetic algorithm is proposed for finding an optimal sequence of mixed-model assembly line with goal of leveling the part usage rates.The result shows that the algorithm is effective.
Keywords:assemble to order  hypothesis-test  mixed-model assembly line  sequence  genetic algorithm  
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