With increasing competition in the pharmaceutical industry, pharmaceutical companies pay more attention to improving the efficiency of clinical trial supply chains to reduce the drug supplying cost, which takes up a considerable part of the total research and development expense. To improve the efficiency of clinical trial supply chains, this study investigates the inventory levels of clinical drugs in each period at a distribution center and clinics considering the reverse replenishment, transshipment, and generalized stockout cost. The inventory allocation problem in clinical trial supply chains is formulated as a rolling horizon-based two-stage stochastic mixed-integer model where the minimal operational cost constitutes the underage cost at the production planning level of clinical trial supply chains. An algorithm extending Benders decomposition is proposed as the solution approach. We also derive several structural results and develop the reformulation method and row generation strategy to improve the efficiency of the optimization process. The effectiveness of our approach is demonstrated in the numerical experiment.

随着医药行业竞争日益激烈，制药企业更加注重提高临床试验供应链的效率，以降低药品供应成本，这在总研发费用中占据了相当大的一部分。为提高临床试验供应链的效率，本研究考虑了逆向补货、转运和广义缺货成本，调查了配送中心和诊所各时期临床药品的库存水平。临床试验供应链中的库存分配问题被表述为基于滚动水平的两阶段随机混合整数模型，其中最小运营成本构成临床试验供应链生产计划层面的未成年人成本。提出了一种扩展 Benders 分解的算法作为解决方法。我们还推导出了几个结构结果并开发了重构方法和行生成策略，以提高优化过程的效率。数值实验证明了我们方法的有效性。