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Minimising throughput loss in assembly lines due to absenteeism and turnover via work-sharing

机译:最大限度地减少由于缺勤和周转而造成的流水线作业损失

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In this paper we analyse the loss of throughput rate of assembly line caused by slow pace of substitute workers (replacing absentees) having no prior experience in the required tasks. We proposed work-sharing mechanisms that improve the balance of the workload during the learning period. The proposed mechanisms add to the experienced neighbouring workers some of the workload of the inexperienced worker substituting an absentee. We call this workload 'shared work'. After the performance of the substitute workers improves due to learning, the shared work is re-assigned to them (relieving their experienced neighbours). We provide analytic expressions for the line throughput rate, which is determined by sets of bottleneck workstations. These sets of consecutive workstations consist of the inexperienced workers replacing the absentees and the experienced workers assisting them during the learning periods. The decision variables of this model are: (1) the amount of shared work, and (2) the time in which the shared work is re-assigned to the substitute worker. Unique optimal values of these two variables are found via numerical study, for buffered and non-buffered lines. Experiments show that the proposed work-sharing mechanisms can significantly improve the line's throughput, compared to the original system without work-sharing.
机译:在本文中,我们分析了由于没有事先完成所需工作经验的替代工人(代替缺席者)步伐缓慢而造成的流水线生产率下降。我们提出了工作共享机制,以改善学习期间工作量的平衡。拟议的机制增加了经验丰富的邻近工人的工作量,而这些经验不足的工人代替了缺席的工人。我们称此工作负载为“共享工作”。在替代学习者的表现因学习而提高之后,将共享的工作重新分配给他们(减轻了他们有经验的邻居)。我们提供了线吞吐率的解析表达式,该表达式由瓶颈工作站集确定。这些连续的工作站组由经验不足的工人代替缺席者和经验丰富的工人在学习期间协助他们。该模型的决策变量是:(1)共享工作量,以及(2)将共享工作重新分配给替代工人的时间。这两个变量的唯一最优值是通过对缓冲线和非缓冲线的数值研究得出的。实验表明,与没有工作共享的原始系统相比,提出的工作共享机制可以显着提高生产线的吞吐量。

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