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首页> 外文会议>International conference on transportation engineering >A Decision-Making Sequencing Model of a Mixed-Model Assembly Line Considering the Leveling of Material and Assembly Switch Cost
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A Decision-Making Sequencing Model of a Mixed-Model Assembly Line Considering the Leveling of Material and Assembly Switch Cost

机译：考虑物料平衡和装配转换成本的混合模型装配线决策排序模型

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Sequence model is one of the most important decision of production plan and control for mixed-model assembly line. This paper firstly according to customs' demand and lead time divides the products into four categories: core strategic products Ⅰ, customer-oriented products Ⅱ, time-oriented products Ⅲ, ordinary products Ⅳ. And then two principles (customers' demand and material balance) are proposed for every category of product. By using the principle of MPS, two-objective with minimum variations of part usage rate and minimum assembly switch cost sequencing model is given. Finally, the optimal solution set of every categories in a MPS are solved with genetic algorithm (GA), so that decision-making method is clear offered on mixed-model assembly line sequencing problem when with different preference and in structure characteristics of demand. The results show that two-objectives sequencing model above outperforms good shown as four parameters with work-in-process inventory, rate of material balance, assembly switch cost, lead time, etc.
机译：顺序模型是混合模型装配线生产计划和控制的最重要决定之一。本文首先根据海关需求和交货期将产品分为四类：核心战略产品Ⅰ，以客户为导向的产品Ⅱ，以时间为导向的产品Ⅲ，普通产品Ⅳ。然后针对每种产品提出了两个原则（客户需求和物料平衡）。利用MPS原理，给出了零件使用率变化最小，装配切换成本最小的排序两个目标的模型。最后，通过遗传算法（GA）求解了MPS中每个类别的最优解集，从而为具有不同偏好和需求结构特征的混合模型装配线排序问题提供了清晰的决策方法。结果表明，以上两个目标排序模型的良好表现表现为四个参数，其中包括在制品库存，物料平衡率，装配切换成本，交货时间等。

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