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Optimal Commodity Distribution for a Vehicle with Fixed Capacity Under Vendor Managed Inventory

机译:供应商管理库存下具有固定容量的车辆的最佳商品分配

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摘要

Under vendor managed inventory (VMI), vendors have the obligation to maintain the retail stores they serve with sufficient inventory levels. In this paper, specifically, we consider an oil tanker which visits and replenishes multiple retail stations daily. However, due to the fixed capacity of vehicle, at each station the vendor faces such a tradeoff, replenishing the current station to a higher level or reserving more capacity for the left stations that may take more profits in future. We address this problem by two mathematical models, corresponding to situations with deterministic and stochastic station demand respectively. A greedy algorithm is developed and proved optimal for the case with deterministic demand. For the case with stochastic demand, we find the optimal replenishment policy by dynamic programming, which selects the median among three critical numbers. Numerical examples are also presented, which shed light on managerial insights partially.
机译:在供应商管理的库存(VMI)下,供应商有义务以足够的库存水平维护其服务的零售商店。特别是在本文中,我们考虑了一个油轮,该油轮每天都会拜访并补充多个零售站。但是,由于车辆的固定容量,卖方在每个站点都面临这样的权衡,将当前站点补充到更高的水平,或者为剩余站点保留更多容量,这可能在将来带来更多利润。我们通过两个数学模型解决这个问题,分别对应于确定性和随机性站点需求的情况。贪婪算法被开发出来,并被证明对于具有确定性需求的情况是最优的。对于具有随机需求的情况,我们通过动态规划找到了最佳的补货策略,该策略在三个临界数之间选择中位数。还提供了一些数字示例,这些示例部分地阐明了管理方面的见解。

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