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Forecast horizons for dynamic lot-sizing model with short life cycle and capacity constraints

机译:具有短暂生命周期和容量约束的动态批量模型预测视野

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In this paper, we consider the forecast and decision horizons of products with limitation on short life cycle and production capacity. The upper bound on production is the same for each period and the stockouts are permitted. To obtain the forecast horizon in infinite periods, we transform the integer programming problem to dynamic programming recursive formulation, then solve the recursive formulation by the forward algorithm and compare the time complexity. A few of necessary conditions are stated and proved since the necessary conditions can reduce complexity of computations in searching for an optimal solution by the forward algorithm. At the end of the paper, we conclude and give suggestions for future research.
机译:在本文中,我们考虑了产品的预测和决策视野,以限制短暂的生命周期和生产能力。每个时期的生产上限是相同的,并且允许库存排水。为了在无限时段获得预测地平线,我们将整数编程问题转换为动态编程递归制定,然后通过前向算法解决递归制剂并比较时间复杂度。提出了一些必要条件,并且证明了,因为必要条件可以降低通过前向算法搜索最佳解决方案的计算复杂性。在本文结束时,我们得出结论并提出对未来研究的建议。

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