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讲坛主题：
1. to fill this gap, we formulate the problem as a two-stage markov decision process (mdp), where component substitution and inventory replenishment decisions are made in the first and second stages, respectively.
2. we will show that under a mild increasing component inventory level condition, the optimal substitution policy is a nested-subset base-stock (nbs) policy. and explain why we chose this policy.
3. then we will introduce the nbs policy in detail. specifically, the nbs policy first finds the largest nested-subset of components whose inventory levels are all below the subset's associated base-stock level, and then substitutes only components in the largest nested-subset following the base-stock policy. the optimal replenishment policy of the component with the shortest leadtime is the base-stock policy. but other component's optimal replenishment policies are no longer base-stock policies except when the substitution costs are sufficiently large.
专家简介：
邓天虎，博士，副教授，就职于清华大学工业工程系。2013年于美国加州大学伯克利分校获得工业工程与运筹博士学位，2008年于清华大学工业工程系获得学士学位。研究方向侧重智慧供应链。负责执行的中石油天然气管网优化项目入围informs设立的管理科学应用界最高奖项弗兰茨·厄德曼奖（franz edelman award）2018年决赛。近五年主持多项国家自然科学基金青年基金和面上项目。以第一作者和通讯作者在manufacturing & service operations management、operations research、naval research logistics、journal of energy engineering等国际高水平学术期刊和学术会议发表论文20余篇。
