讲座题目：Near-Optimal Dispatch Policies for Emergency Medical Services
讲座人：王彤 博士
主持人：王湛越博士
讲座时间：2025年6月18日10：00
讲座地点：南开大学商学院A501-2
讲座摘要：
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.
讲座人简介：
王彤，香港城市大学助理教授，主要研究方向包括随机建模与优化、随机动态规划、强化学习等，以及他们在供应链与库存管理、动态定价与收益管理、可持续运营管理等方向的应用。研究成果发表在Operations Research，Production and Operations Management等期刊，主持多项科研基金项目，包括国家自然科学基金优秀青年项目、上海市浦江人才计划项目等。
