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ATO的物料需求预测与混流装配线排序研究 被引量:1

Research on the Material Assumed Forecasting and the Mixed-model Assembly Line Sequencing
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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。 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.
作者 老曼莎
出处 《机电工程技术》 2009年第2期78-80,共3页 Mechanical & Electrical Engineering Technology
关键词 面向订单装配 假设检验 混流装配线 排序 遗传算法 assemble to order hypothesis-test mixed-model assembly line sequence genetic algorithm
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