In this paper, we study a multi-period inventory model for a perishable product with both stochastic supply and demand in a rolling horizon framework. The product has a fixed shelf life such as fresh products, blood cells, chemicals, drugs and other pharmaceutical products. The objective is to minimize the expected total cost composed of ordering, purchasing, holding, shortage and waste costs. We focus on finding a high-quality solution close to the optimal solution of the model that provides decision support for decision-makers. We propose a stochastic programming model and transform it into MILP model based on conditional scenarios (CS) approach to reduce the computational burden. By comparing with the sample average approximation (SAA) method in a numerical study, we show that our method works efficiently.

中文翻译：

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同时具有随机需求和供应的易腐库存系统的优化：两种方案方法的比较

在本文中，我们研究了滚动框架范围内具有随机供应和需求的易腐产品的多周期库存模型。该产品具有固定的保存期限，例如新鲜产品，血细胞，化学药品，药物和其他药品。目的是最大程度地减少由订购，购买，持有，短缺和浪费成本构成的预期总成本。我们专注于找到与模型的最佳解决方案接近的高质量解决方案，从而为决策者提供决策支持。我们提出了一种随机规划模型，并根据条件场景（CS）方法将其转换为MILP模型，以减轻计算负担。通过与数值研究中的样本平均近似（SAA）方法进行比较，我们证明了我们的方法有效地起作用。