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A consecutive heuristic algorithm for balancing a mixed -model assembly line type II using a (W-TAWH) model developed for straight and U-shaped layouts

机译:一种连续的启发式算法,用于平衡混合 - 模型组装线II型使用(W-TAWH)模型,用于直线和U形布局

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The development of assembly lines in manufacturing systems has evolved due to consumer expectations and a growing and increasingly competitive global market. The assembly line balancing problem (ALBP) is well recognised in manufacturing and may arise when tasks are assigned to the workstation. In this paper, a problem statement is structured by assigning a task to a worker in a suitable workstation, subject to some constraints, in order to reduce the cycle time and improve performance. This is a new approach, based on worker and task assignment and is thus a worker - task assigned to workstation heuristic model (W-TAWH). It has been developed for straight and U-shaped models. The methodology is described as two stages, the input related data stage and assignment stage. Firstly, the focus is on combining precedence diagram and generating the sequence vector procedure. The second stage comprises development of comprehensive mathematical formulae for the consecutive algorithm to address the straight and U - shaped balancing problem, with minimization or maximation of relevant criteria. This generates performance evaluation criteria according to the number of tasks and workers assigned to the workstation, and these criteria are integrated into a single score using a desirability function approach. Finally, the performance of the developed algorithm is validated through a numerical example. We tested 24 alternative solutions and the fourth solution (1-4-1) achieved the highest score (0.726), which represented the following assignment variables: straight layout, minimum total number of successor tasks rule, and four workers. The performance evaluation is represented by the lower bound of cycle time and upper bound of efficiency.
机译:由于消费者的期望和日益增长,竞争日益激烈的全球市场,制造系统中的装配线的发展已经发展。装配线平衡问题(ALBP)在制造中很好地识别,并且在将任务分配给工作站时可能会出现。在本文中,通过将任务分配给合适的工作站中的工作站来构建问题陈述,以减少循环时间并提高性能。这是一种新方法,基于工人和任务分配,因此是一个工人 - 任务分配给工作站启发式模型(W-Tawh)。它是为直线和U形模型开发的。该方法被描述为两个阶段,输入相关数据阶段和分配阶段。首先,重点是组合优先级图并生成序列矢量过程。第二阶段包括开发用于连续算法的综合数学公式,以解决直线和U形平衡问题,具有最小化或相关标准的最大化。这根据分配给工作站的任务数量和工人的数量来生成性能评估标准,并且使用期望函数方法将这些标准集成到单个分数中。最后,通过数值示例验证了开发算法的性能。我们测试了24个替代解决方案,第四个解决方案(1-4-1)实现了最高分(0.726),它代表了以下分配变量:直线布局,继承人任务规则的最低总数和四名工人。性能评估由循环时间的下限和效率的上限表示。

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