学科发展青年论坛
2026年第1期，总第1期
报告题目： Near-Optimal Dispatch Policies for Emergency Medical Services
主讲人：王彤，香港城市大学助理教授
报告时间：2026年4月8日上午10点
报告地点：新主楼A618
报告摘要：
Emergency medical services (EMS) play a critical role in ensuring timely and effective healthcare delivery, particularly in situations where rapid response is important. The dispatching of ambulances, a fundamental component of EMS, is a complex decision-making process that directly influences patient outcomes. Over the past four decades, the frequency of medical calls has significantly increased. Consequently, cities are faced with the challenge of managing limited resources to respond promptly to current emergency calls while maintaining the capacity to address potential future services. In this paper, we consider the dynamic nature of call arrivals and the inherent heterogeneity in service times across different station-location pairs with general distributions. Our goal is to determine which unit to dispatch to each sequentially observed call to minimize the system-wide average cost. To address this problem, we develop an easy-to-implement policy based on the Lagrangian relaxation for a Markov decision process approximation. Our case study, based on real data from New York City, demonstrates how implementing various proposed policies can effectively reduce costs under different levels of demand.
报告人简介：
王彤，现任香港城市大学助理教授，曾任上海交通大学长聘副教授。她主持多项科研基金项目，包括国家自然科学基金青年（B类）项目和面上项目等。她的主要研究兴趣包括随机建模与优化、随机动态规划、强化学习，及其在供应链与库存管理、资源分配与收益管理、可持续运营管理中的应用。她的研究成果发表在Operations Research和Production and Operations Management等期刊上。
