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An Integrated Inventory and Workforce Planning Markov Decision Process Model with a Variable Production Rate

机译:具有可变生产率的集成库存和劳动力规划马尔可夫决策过程模型

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In the literature on inventory models, it is common to assume fixed production rates. However, in some cases, such as flexible production systems, this assumption is not realistic. In contrast, variable production rate models rarely define the mechanism through which the production rate is varied, and usually, a per-unit production cost function is assumed. In economics and econometrics, productivity is usually defined by means of theproduction function, a model that relates productivity to available resources, such as capital and labour. In this paper, we propose an integrated stochastic dynamic lot-sizing and workforce planning model. The novelty here is in modelling the variable production rates explicitly through workforce planning using theproduction functionconcept. The proposed model is demonstrated by an example, which shows that the integrated approach leads to an optimal production lot-sizing policy that is different from that obtained without considering workforce planning. This indicates the potential savings that can be obtained via the proposed integrated approach.
机译:在库存模型的文献中,通常承担固定生产率。然而,在某些情况下,例如柔性生产系统,这种假设并不逼真。相比之下,可变生产速率模型很少定义生产速率变化的机制,通常,假设每单位生产成本函数。在经济学和经济学中,生产力通常是通过生产功能的方法定义,该模型将生产力与可用资源(如资本和劳动)相关。在本文中,我们提出了一种集成的随机动态批量尺寸和劳动力规划模型。这里的新颖性是通过使用TheProduction FunctionColcept明确地明确地模拟可变生产率。所提出的模型通过一个例子来证明,这表明综合方法导致最佳的生产批量尺寸策略,这些政策与未考虑劳动力规划的不可获得的策略不同。这表明可以通过所提出的综合方法获得的潜在节省。

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