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Production dynamics in case of organizational learning

机译:组织学习的生产动态

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Evidences indicate that around 50% of productivity increase originates from organizational learning and learning by doing. The speed of implementing productivity knowledge increase is a key component of competitiveness and for the case when the implementation is instantaneous, an optimal control model is developed. The analysis of this model indicates that, under certain circumstances, the optimal production level does not change over time, and utilizing this property, a closed form solution is provided to determine the optimal production level. When the implementation process happens step by step, a discrete time model is offered, and we found that using the same assumptions, the production dynamics will be decreasing. To determine the optimal production vol-umes, a backward dynamic programming procedure is presented.
机译:证据表明,大约50%的生产力增加源于组织学习和学习。 实施生产力知识的速度增加是竞争力的关键组成部分,而对于实施方式瞬时,开发了最佳控制模型。 该模型的分析表明,在某些情况下,最佳生产水平不会随着时间的推移而变化,并利用该属性,提供封闭的表格解决方案以确定最佳的生产水平。 当实现过程逐步发生时,提供了一个离散时间模型,我们发现使用相同的假设,生产动态将会减少。 为了确定最佳生产Vol-Umes,提出了一种向后动态编程过程。

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