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摘要： 胡少龙博士毕业于同济大学经济与管理学院管理科学与工程专业，获管理学博士学位，研究方向为公共安全与应急管理。现为德克萨斯州立大学工业工程博士后，研究方向为应急物流。
时间：10月14日（星期一）上午10:00-11:30
地点：哈工大科学园 2H 308室
讲座题目：A multi-stage stochastic programming model for relief distribution considering the state of road network
讲座摘要：As an important aspect in disaster operations management, relief distribution has been challenged by lots of factors, such as unpredictable occurrence time, intensity and location of secondary disasters (e.g. aftershocks and landslides, which usually occur after an earthquake), and availability of vehicles. A multi-stage stochastic programming model is developed for disaster relief distribution with consideration of multiple types of vehicles, fluctuation of rental, and the state of road network. The state of road network is characterized using uncertain and dynamic road capacity. The scenario tree is employed to represent the uncertain and dynamic road capacity, and demonstrate the decision process of relief distribution. A progressive hedging algorithm (PHA) is proposed for solving the proposed model in large-scale size. Based on a real-world case of Yaan earthquake in China, numerical experiments are presented to study the applicability of the proposed model and demonstrate the effectiveness of the proposed PHA. Useful managerial insights are provided by conducting numerical analysis.
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