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An Optimal Solution Algorithm for Joint Replenishment Problem with Piecewise Linear Warehousing Cost

机译:具有分段线性仓储成本的联合补货问题的最优求解算法

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In the general lot sizing replenishment problem, warehousing costs are considered part of the inventory holding cost. When decision makers need warehouse space for the storage of their products, they generally take the warehousing cost into the inventory cost. In this study, we investigate an optimal lot sizing and replenishment problem under piecewise linear warehousing cost structure. In this study, we investigate an optimal lot sizing and replenishment problem under piecewise linear warehousing cost structure. We extend Goh et al. s (2001) study, and formulate a model for multiple stock-keeping units (Multi-SKUs) with joint inventory costs. To solve this problem. we conduct a full theoretical analysis on the optimality structure. By utilizing our theoretical results, we derive an effective search algorithm that is able to obtain an optimal solution for optimal lot sizing and replenishment problem under piecewise linear warehousing cost structure. Based on our randoM experiments, we demonstrate that our search algorithM out-performs Goh et al. 's (2001).
机译:在一般的批量补充问题中,仓储成本被视为库存持有成本的一部分。当决策者需要仓库空间来存储其产品时,他们通常会将仓储成本计入库存成本。在这项研究中,我们研究了分段线性仓储成本结构下的最佳批量估计和补货问题。在这项研究中,我们研究了分段线性仓储成本结构下的最佳批量估计和补货问题。我们扩展了Goh等。 s(2001)的研究,并为具有联合库存成本的多个库存单位(Multi-SKU)建立模型。解决这个问题。我们对最优结构进行了全面的理论分析。通过利用我们的理论结果,我们得出了一种有效的搜索算法,该算法能够在分段线性仓储成本结构下针对最优批量确定和补货问题获得最优解。根据我们的randoM实验,我们证明了搜索算法的性能优于Goh等。的(2001)。

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