报告题目：Risk-averse Latency Location-routing Problems with Stochastic Travel Times
报 告 人： Francisco Saldanha-da-Gama
英国谢菲尔德大学
报告时间：2024年4月10日(周三) 16:00-17:30
报告地点：中国科学院大学中关村校区教学楼S406
腾讯会议：150-742-916
内容摘要
This presentation focuses on latency location-routing problems with stochastic travel times. The general problem is cast as a two-stage stochastic program. The ex-ante decision comprises the location of the depots. The ex-post decision regards the routing, which adapts to the observed travel times. A risk-averse decision-maker is assumed, which is accomplished by adopting the latency CVaR as the objective function. The problem is formulated mathematically with some insights being provided in terms of some good principles for modeling this type of problem. Thinking ahead to large-scale instances, an efficient multi-start variable neighborhood search algorithm is proposed assuming that uncertainty is captured by a finite set of scenarios. This procedure is then embedded into a sampling mechanism for tackling uncertainty captured by random vectors with infinite support. Several insights are provided based on the results of a series of computational tests performed to assess the discussed methodological contributions.
主讲人简介
Francisco Saldanha da Gama is the chair of supply chain management at Sheffield University Management School (UK) where he is also the head of the Operations Management and Decision Sciences Research Center. His research interests include Supply Chain Management, Logistics, Decision-Making under Uncertainty, Facility Location, and Project Scheduling and Management. He has been awarded several prizes and honors such as the Roger-Charbonneau Prize, HEC Montreal, Quebec, Canada, awarded to the second edition of the volume “Location Science”, co-edited with Gilbert Laporte and Stefan Nickel. He is a member of several international scientific organizations such as the INFORMS, the European Chapter on Combinatorial Optimization, the Working Group on Stochastic Optimization, and the EURO Working Group on Locational Analysis, of which he is one of the past coordinators. He is the Editor-in-Chief of Computers & Operations Research as well as a member of the Editorial Advisory Board of the Journal of the Operational Research Society (UK), Operations Research Perspectives, International Journal of General Systems, and Algorithms.
