報告題目：Responsiveness Maximization Humanitarian Relief Network Design
報告人：舒嘉 教授
時間： 2023年12月6日（周三）下午15:00-17:00
地點：騰訊會議號 634-334-641
內容簡介：
In this paper, we study a humanitarian reliefnetwork design problem, where the demand for relief supplies ineach affected area is uncertain and can be met by more than onerelief facility. Given a certain cost budget, we simultaneouslyoptimize the decisions of relief facility location, inventorypre-positioning, and relief facility to affected area assignmentso as to maximize the responsiveness. The problem is formulated asa chance-constrained stochastic programming model in which a jointchance constraint is utilized to measure the responsiveness of the humanitarian relief network.We approximate the proposed model by another model with chance constraints, which can be solved based on twosettings of the demand information in each affected area: (1) thedemand distribution is given; and (2) the partial demandinformation, e.g., the mean, the variance, and the support, isgiven. We use a case study of the 2014 Typhoon Rammasun toillustrate the application of the model. Computational results demonstratethe effectiveness of the solution approaches and show that the chance-constrainedstochastic programming models are superior to the deterministic model forhumanitarian relief network design.
個人簡介：
舒嘉，電子科技大學經管學院教授，從事物流與供應鏈管理領域的研究工作，研究成果發表在JOC, NRL, IISE等國際期刊上，曾獲得國家杰出青年科學基金項目資助。
（承辦：管理科學與物流系、科研與學術交流中心）
