论文标题
边缘分析框架，以结合订购易腐物的外部性效果
A Marginal Analysis Framework to Incorporate the Externality Effect of Ordering Perishables
论文作者
论文摘要
寻找多周期易腐烂库存系统的最佳策略需要解决计算廉价的随机动态程序（DP）。为了避免解决DP模型的困难，我们提出了一个使用外部性项来捕获订购决策对无限视野平均成本的长期影响的框架。通过近似外部性项，我们产生了可拖动的近似最佳条件，该条件可以通过标准的边缘分析来解决。最终的政策在长期平均成本和订购决策中几乎是最佳的。
Finding the optimal policy for multi-period perishable inventory systems requires solving computationally-expensive stochastic dynamic programs (DP). To avoid the difficulty of solving DP models, we propose a framework that uses an externality term to capture the long-term impact of ordering decisions on the average cost over an infinite horizon. By approximating the externality term, we yield a tractable approximate optimality condition, which is solved through standard marginal analysis. The resulted policy is near-optimal in long-run average cost and ordering decisions.
