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Mixed assembly line rebalancing: A binary integer approach applied to real world problems in the automotive industry

机译:混合流水线平衡:一种二进制整数方法,用于汽车行业中的实际问题

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摘要

Industrial organizations have increasingly sought to optimize the resources needed for the manufacture of its products from the competition, in order to maintain their profit margins. The search for balance of resources and balanced distribution of tasks in various types of industrial environments is called balancing. When adjustments are made and adequacy of an assembly line that is already in operation, this process is called rebalancing. This paper presents a case study involving a problem of rebalancing of automotive assembly line in an environment of arbitrarily mixed models of products, also known as mix. The proposed procedure for solving the rebalancing in the company in question is based on Binary Integer Programming, in particular the branch and bound algorithm. For comparison, we used a heuristic method based on precedence diagrams for solving the rebalancing of lines. To evaluate the results obtained between the two procedures were used performance indicators such as number of workstations created, average load of work and level of unbalance. The proposed algorithm has resulted in significant improvements in the production line capacity.
机译:工业组织越来越寻求从竞争中优化生产其产品所需的资源,以保持其利润率。在各种类型的工业环境中寻求资源平衡和任务平衡分配的过程称为平衡。进行调整并确保已经投入运行的装配线是否足够时,此过程称为重新平衡。本文提出了一个案例研究,涉及在任意混合产品模型(也称为混合模型)的环境中汽车装配线的重新平衡问题。所提出的用于解决有关公司中的再平衡问题的程序基于Binary Integer Programming,尤其是分支定界算法。为了进行比较,我们使用了基于优先级图的启发式方法来解决线的重新平衡。为了评估这两个过程之间获得的结果,使用了性能指标,例如创建的工作站数量,平均工作量和不平衡程度。该算法大大提高了生产线的产能。

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