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A learning curve for tasks with cognitive and motor elements

机译:具有认知和运动要素的任务的学习曲线

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摘要

This paper develops a new learning curve model that has cognitive and motor components. The developed model is fitted to experimental data of a repetitive manual assembly-and-disassembly task. The fits are compared to those of two other known models from the literature, which are the renowned power form learning curve and its aggregated version. The model developed in this paper performed the best. The fits of the models are evaluated using the mean squared error method. Furthermore, the developed learning curve model is investigated by incorporating it into the economic production quantity model, a topic which has been frequently studied by researchers. The results show that assuming an inappropriate learning curve may produce biased inventory policies by over- or underestimating production rates and consequently inventory levels.
机译:本文开发了一种新的具有认知和运动成分的学习曲线模型。所开发的模型适合重复手动组装和拆卸任务的实验数据。将拟合与文献中其他两个已知模型的拟合进行比较,这两个模型是著名的幂形式学习曲线及其汇总版本。本文开发的模型表现最佳。使用均方误差方法评估模型的拟合度。此外,将发达的学习曲线模型纳入经济生产量模型中进行了研究,这是研究人员经常研究的课题。结果表明,假设学习曲线不正确,可能会通过高估或低估生产率以及因此导致的库存水平来产生有偏差的库存策略。

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