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

机译:可变生产率的库存和劳动力计划集成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:在有关库存模型的文献中,通常采用固定的生产率。但是,在某些情况下,例如灵活的生产系统,这种假设是不现实的。相反,可变生产率模型很少定义生产率变化的机制,通常假定单位生产成本函数。在经济学和计量经济学中,生产率通常是通过生产函数定义的,生产函数是将生产率与可用资源(例如资本和劳动力)相关联的模型。在本文中,我们提出了一个集成的随机动态批量估计和劳动力计划模型。这里的新颖之处在于使用生产功能概念通过劳动力计划显式地对可变生产率进行建模。实例演示了所提出的模型,该模型表明,综合方法可导致最佳的生产批量调整策略,该策略不同于不考虑劳动力计划而获得的批量生产策略。这表明可以通过建议的集成方法获得潜在的节省。

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