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Performance measurement system for robustness improvements in paced production lines

用于提高生产线稳健性的性能测量系统

基本信息

批准号：
292119530
负责人：
Professorin Dr.-Ing. Gisela Lanza
金额：
--
依托单位：
Institut für Produktionstechnik (WBK)
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2015
资助国家：
德国
起止时间：
2014-12-31 至 2017-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/292119530?language=en
关键词：
Performance measurement system robustness improvements

项目摘要

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.

存在许多干扰，可以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著下降。因此，给定的研究建议旨在提高相互关联的生产系统的鲁棒性。在控制回路中，必须首先测量和评估鲁棒性，然后才能确定改进措施。测量和评估鲁棒性是该提案的主要挑战。一个简短的例子说明了这一挑战：鲁棒性应衡量的产出所产生的相互关联的系统。为了增加系统的鲁棒性，可以在系统中实现大的缓冲器。因此，如果所面临的中断短于给定的缓冲区将持续的时间，则输出将不会减少。缓冲区越大，鲁棒性越高。无限的缓冲区对于提高鲁棒性是理想的。但大的缓冲区也会导致很长的交货时间。产量的提高导致生产时间的缩短。如果在选择鲁棒性度量时不考虑这些关系，则会出现不期望的副作用。因此，稳健性度量必须能够检测并考虑所有可能的影响。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鲁棒性，研究建议确定了一个KPI系统。然后，将性能测量系统聚合在鲁棒性的单个测量中。基于鲁棒性测量和评估过程，进行改进的识别。对于各种确定的改进措施，根据成本和鲁棒性方面选择最佳的。