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混合装配线过程平衡研究及仿真分析
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摘要
随着设备、工装夹具的柔性化,基于多品种、小批量的混流装配生产组织已成为可能,并逐渐推行到汽车、电子制造、食品加工等行业中。与单一品种装配线平衡问题相比,影响多品种混装生产线平衡的因素更多,这使得多品种混合装配线平衡问题求解难度加大,而且建立面向不确定条件下的混合装配过程平衡模型难度更大。
     本文首先阐述了多品种产品混流装配线的研究意义,分析了装配线平衡问题国内外研究现状,就装配线平衡这一工程问题进行了数学描述。
     在此基础上,本文分析了混合装配生产过程平衡影响因素,给出了混合装配生产过程平衡框架;并依据所给框架体系,分别给出了确定条件下的混装平衡建模和不确定条件下的混装平衡建模方法;同时考虑到混流装配线上,产品的不同投产序列可能带来的装配线平衡率差异,建立了旨在负荷均衡的混合生产操作分配数学模型,以及旨在最小化平均闲置时间的多种产品投产排序模型。
     同时,针对封闭工作站,利用混装生产过程平衡模型的求解结果,结合工人熟练程度、工作疲劳变化等不确定性因素的影响,基于Flexsim软件进行建模及仿真分析,进行动态平衡调整,以得到新的平衡。仿真结果表明本文所建立的混合装配过程平衡框架体系、操作分配模型、投产序列模型的正确性与有效性。
     研究结果表明数学建模和仿真技术相结合的方法,既能求解出近优甚至最优解,又能通过仿真技术模拟生产组织,预演生产过程中不确定影响,以协助得到不确定条件下的最优解,为解决多品种产品在混装生产过程中的平衡问题提供理论指导。
With the flexibility of the equipment and fixture, it’s possible for the mixed assembly production organizations based on multi-variety and small batch. And it’s gradually used to the automotive, electronics manufacturing, food processing and other industries. Compared with single product assembly line balancing problem, factors which affect multi-variety mixed production lines are more, and it makes more difficult to solve multi-variety mixed assembly line balancing problem. In addition, it is more difficult to establish models of mixed assembly process balancing under uncertain conditions.
     First this article explains the significance of multi-variety mixed assembly line and analyses the recent status at home and abroad on the assembly line balancing problem, then describes this engineering issue in mathematical method.
     This article analyses the factors that affect the mixed production process balancing, and presents the framework of it. And according to the given framework system, it presents the mixed assembly balancing modeling under certain and uncertain conditions. Besides, taking into account that different production sequences on the mixed assembly line will have different assembly line balancing rate, So not only does it establish a mathematical model with workload balance, but also gives multi-product sequencing model based on minimizing the average idle time.
     Meanwhile, for the closed workstation, on the basis of the result from the mixed assembly production process balancing model, we consider the factors like the proficiency level of workers and working fatigue changes. In order to get a new balance, we build model and simulate based on Flexsim software and makes dynamic balancing adjustments. The simulation result shows the correction and effectiveness of the mixed assembly production balancing framework system, task allocation model and sequencing model.
     The results demonstrate that the combination of mathematical modeling and simulation technology, not only get nearly optimal solution, but also can imitate the production organizations by simulation technology, preview the uncertain effects of the production process to get optimal solution under uncertainty. Therefore it provides theoretical guidance for solving multi-variety mixed assembly process balancing problem.
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