Robust Workforce Management with Crowdsourced Delivery
报告人:程春 时间:2023年4月11日(周二) 10:00-11:30 地点:思源东楼611 报告摘要:In this talk, we investigate how crowdsourced delivery platforms with both contracted and ad-hoc couriers can effectively manage their workforce to meet delivery demands amidst uncertainties. Our objective is to minimize the hiring costs of contracted couriers and the crowdsourcing costs of ad-hoc couriers while considering the uncertain availability and behavior of the latter. Due to the complication of calibrating these uncertainties through data-driven approaches, we introduce a basic reduced information model to estimate the upper bound of the crowdsourcing cost and a generalized reduced information model to obtain a tighter bound. 报告人简介:程春博士现为东北财经大学现代供应链管理研究院助理教授,她博士毕业于加拿大蒙特利尔大学工学院应用数学与工业工程系。程春教授的主要研究方向为物流系统优化,包含设施选址、车辆路径及无人机配送优化等。其研究成果以第一作者/通讯作者发表在INFORMS Journal on Computing (UTD-24)、 INFORMS Journal on Optimization 、Transportation Science、Transportation Research Part B、Transportation Research Part E、Omega和International Journal of Production Economics等管理科学与交通运输领域顶级期刊,另外有多篇工作论文目前在OR、M&SOM期刊审稿,主持国家自然科学基金青年基金项目和辽宁省自然科学基金项目。