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Autonomous and induced learning: an optimal control approach

机译:自主学习和诱导学习:一种最优控制方法

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The paper considers a production and process improvement problem of a firm in which the total manufacturing costs of a specific product depend on the output rate as well as the effects of autonomous and induced learning. Autonomous learning typically results from the repetition of a particular task, whereas induced learning is a result of explicit investments in production process improvements, The cumulative effects of the learning processes are represented by two stocks of knowledge. The stock of autonomous knowledge is built up at a rate corresponding to current output. Induced knowledge is built up by process improvement investments. Both stocks are subject to decay, due to obsolescence or forgetting knowledge. For short and long-term planning situations. we study the optimal evolution over time of the output rate, the process improvement expenditure rate and the two stocks of knowledge. [References: 17]
机译:本文考虑了一个公司的生产和过程改进问题,其中特定产品的总制造成本取决于产出率以及自主学习和归纳学习的影响。自主学习通常来自重复执行特定任务,而诱导学习则是对生产过程改进进行明确投资的结果。学习过程的累积效应由两种知识储备表示。自主知识的储备以对应于当前产出的速率积累。诱导知识是由过程改进投资建立的。由于过时或遗忘知识,这两种股票都会衰落。适用于短期和长期计划情况。我们研究了产出率,过程改进支出率和两种知识存量随时间的最优演化。 [参考:17]

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