报告题目：Research on Resource Allocation in Humanitarian Logistics Based on Dynamic Policies
报告人：于丽娜 博士
时间：2018年5月11日 15:00-16:00
地点：管理学院第三会议室
报告内容摘要：
Large-scale disasters and catastrophic events typically result in a significant shortage of critical resources, posing a great challenge to allocating limited resources among different affected areas to improve the quality of emergency logistics operations. This article pays attention to the performance of resource allocation, which includes three metrics: efficiency, effectiveness, and equity, respectively corresponding to economic cost, service quality, and fairness. In particular, the effectiveness metric considers human suffering by depicting it as deprivation cost, an economic valuation measurement that has been recently proposed and the equity metric concerns about the service equality at the end of planning horizon. A nonlinear integer model is first proposed and then an equivalent dynamic programming model is developed to avoid the nonlinear terms created by the introduction of the deprivation cost. The dynamic programming method can solve small-scale problems to optimality but meets difficulty when solving medium- and large-scale problems, due to the curse of dimensionality. Therefore, an approximate dynamic programming algorithm, called the rollout algorithm, is proposed to overcome this computational difficulty. The computational complexity of the proposed algorithm is theoretically analyzed. Furthermore, a modified version of the rollout algorithm is presented, with its computational complexity analyzed. Extensive numerical experiments are conducted to test the performance of the proposed algorithms, and the experimental results demonstrate that the initially proposed rollout algorithm yields optimal or near-optimal solutions within a reasonable amount of time. In addition, the impacts of some important parameters are investigated and managerial insights are drawn.
【报告人简介】
于丽娜，清华大学管理科学与工程学科博士，以第一作者身份在SSCI收录的国际期刊，如《IISE Transactions》、《Computers & Industrial Engineering》发表2篇学术论文。其中，IISE Transactions是工业与系统工程领域的旗舰期刊（Flagship Journal），清华大学工业工程系认定为本专业顶级期刊。积极参与国内、国际学术交流活动，如美国运筹与管理学会国际会议 （The 2016 INFORMS International Conference）。担任SSCI收录的国际期刊《IISE Transactions》和《Computers & Industrial Engineering》匿名审稿人。主要研究方向为应急物流管理、物资分配、动态规划、增强学习等。
欢迎有兴趣的教师，全体博士生、硕士生参加。
学院高层次人才引进办公室
2018-05-04
