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首页> 外文期刊>International Journal of Production Research >Governing the dynamics of multi-stage production systems subject to learning and forgetting effects: A simulation study
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Governing the dynamics of multi-stage production systems subject to learning and forgetting effects: A simulation study

机译：受到学​​习和遗忘影响的多阶段生产系统的动力学控制：模拟研究

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摘要

Managing production systems where production rates change over time due to learning and forgetting effects poses a major challenge to researchers and practitioners alike. This task becomes especially difficult if learning and forgetting effects interact across different stages in multi-stage production systems as rigid production management rules are unable to capture the dynamic character of constantly changing production rates. In a comprehensive simulation study, this paper first investigates to which extent typical key performance indicators (KPIs), such as the number of setups, in-process inventory, or cycle time, are affected by learning and forgetting effects in serial multi-stage production systems. The paper then analyses which parameters of such production systems are the main drivers of these KPIs when learning and forgetting occur. Lastly, it evaluates how flexible production control based on Goldratt's Optimised Production Technology can maximise the benefits learning offers in such systems. The results of the paper indicate that learning and forgetting only have a minor influence on the number of setups in serial multi-stage production systems. The influence of learning and forgetting on in-process inventory and cycle time, in contrast, is significant, but ambiguous in case of in-process inventory. The proposed buffer management rules are shown to effectively counteract this ambiguity.
机译：管理因学习和遗忘效应而导致生产率随时间变化的生产系统，这对研究人员和从业人员都构成了重大挑战。如果学习和遗忘效应在多阶段生产系统中的不同阶段之间相互作用，则此任务将变得尤为困难，因为严格的生产管理规则无法捕获不断变化的生产率的动态特征。在全面的模拟研究中，本文首先研究了典型的关键性能指标（KPI）在多大程度上影响了串行多阶段生产中的学习和遗忘效应，例如设置数量，过程中库存或周期时间系统。然后，本文分析了在学习和遗忘发生时，此类生产系统的哪些参数是这些KPI的主要驱动力。最后，它评估了基于Goldratt的“优化生产技术”的灵活生产控制如何使此类系统中的学习收益最大化。论文的结果表明，学习和遗忘只会对串行多阶段生产系统中的设置数量产生较小的影响。相比之下，学习和遗忘对过程中库存和周期时间的影响是显着的，但是对于过程中库存而言，这种影响是模棱两可的。所提出的缓冲区管理规则显示可以有效地消除这种歧义。

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