Warehouse capacity sharing via transshipment for an integrated two-echelon supply chain
Warehouse capacity sharing via transshipment for an integrated two-echelon supply chain
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DOI：
10.1016/j.tre.2017.04.014
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发表时间：
2017-05
期刊：
影响因子：
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通讯作者：
Xuehao Feng;I. Moon;Kwangyeol Ryu
中科院分区：
文献类型：
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作者：
Xuehao Feng;I. Moon;Kwangyeol Ryu
仓库容量约束一直是库存管理中实现全渠道最优决策的障碍之一。我们研究了一个由单一供应商和多个买家组成的通过转运共享仓库容量的集成库存模型。通过建立非线性规划模型和遗传算法，得到Karush-Kuhn-Tucker点，提出了最优转运策略。该库存策略可以显著降低全渠道成本，且其性能受转运成本的影响。灵敏度分析表明，参数对算法的全信道代价和性能有不同的影响。
Warehouse capacity constraint has been one obstacle to achieving the channel-wide optimal decision in inventory management. We studied an integrated inventory model consisting of a single vendor and multiple buyers with warehouse capacity sharing via transshipment. We proposed an optimal transshipment policy by developing nonlinear programming models and genetic algorithms as well as obtaining Karush-Kuhn-Tucker points. This inventory policy can significantly reduce the channel-wide cost and the performance is influenced by the consideration of fixed transshipment costs. Sensitivity analyses show that parameters have different impacts on the channel-wide cost and the performances of the algorithms.