Performance measurement system for robustness improvements in paced production lines

存在许多干扰，可能会影响当前的动态生产系统。特别是在相互关联的生产系统中，干扰会导致系统性能的显着下降。因此，给出的研究方案旨在提高关联生产系统的稳健性。正如在控制回路中一样，必须首先测量和评估稳健性，然后才能确定改进措施。测量和评估健壮性是该方案的主要挑战。一个简单的例子说明了这一挑战：稳健性应通过相互关联的系统产生的输出来衡量。为了增加系统的健壮性，可以在系统中实现大容量的缓冲区。因此，如果面临的中断比给定缓冲区持续的时间短，则输出不会减少。缓冲区越大，鲁棒性越强。无限缓冲区将是提高健壮性的理想选择。但大的缓冲也会导致非常长的交货期。产量的提高导致了吞吐时间的恶化。如果在选择稳健性度量时不考虑这些关系，就会出现不希望看到的副作用。因此，稳健性衡量标准必须能够检测并考虑到所有可能的影响。这一要求不能通过考虑单一的关键业绩指标(KPI)来满足。因此，为了衡量和评估相互关联的生产系统的稳健性，研究方案确定了一个关键绩效指标系统。然后，将性能测量系统聚合为单一的健壮性测量。根据稳健性测量和评估过程，确定改进措施。对于识别的各种改进行动，根据成本和稳健性方面选择最好的。

There exist numerous disturbances that can affect current dynamic production systems. Especially in interlinked production systems the disturbances lead to significant performance decreases. Therefore, the given research proposal aims at increasing the robustness of interlinked production systems. As in control loops, the robustness must first be measured and evaluated before improvement actions can be identified. Measuring and evaluating the robustness is the main challenge of this proposal. A brief example illustrates this challenge: Robustness shall be measured by the output produced by the interlinked system. In order to increase the systems robustness, large buffers can be implemented in the system. Thus, the output will not decrease if the disruption faced is shorter than the given buffer will last. The bigger the buffers are, the higher the robustness will be. Infinite buffers would be desirable for improving robustness. But big buffers also lead to very long lead times. The improvement in output produced led to a deterioration of the throughput time. If these relationships are not taken into account when choosing the robustness measure, undesirable side effects arise. The robustness measure therefore must be able to detect and take into account all possible effects. This requirement cannot be satisfied by the contemplation of a single key performance indicator (KPI). Therefore, to measure and assess the robustness of interlinked production systems the research proposal identifies a system of KPIs. The performance measurement system is then aggregated in a single measure of robustness. Based on the robustness measurement and evaluation process the identification of improvements takes place. For the various identified improvement actions, the best according to cost and robustness aspects is selected.