报告时间：2023年5月10日（星期三）9:30-10:30

报告地点：工程管理与智能制造研究中心大楼825室

报 告 人：钟远光 教授

工作单位：华南理工大学

举办单位：管理学院

报告简介：

With the rapid growth of the sharing economy, on-demand staffing platforms have emerged to help companies manage their temporary workforce. In this paper, we study how to maximize and distribute the benefits of an on-demand workforce in this new business context. We consider an on-demand staffing platform that serves multiple employers with uncertain demands using a common pool of self-scheduling workers. To compare this method with traditional staffing solutions, we first investigate when an on-demand staffing platform can be beneficial from the perspective of a central planner. Next, we propose a novel fill rate-based allocation and coordination mechanism that enables the on-demand workforce to be shared optimally when individual employers and the platform operator make decisions in their own interest. Our results suggest that a win-win-win solution can be achieved in an appropriately designed system: Individual employers and the platform operator share the maximum benefits of on-demand staffing, while workers are able to set their own hours.

报告人简介：

钟远光，华南理工大学工商管理学院教授，博士生导师，工业工程系系主任。长期致力于供应链库存优化、库存共享与分配、优化理论方法与应用等领域的研究，代表性论文发表在Management Science, Operations Research, Manufacturing & Service Operations Management，Production and Operations Management，Transportation Research Part B: Methodological、IISE Transactions等期刊上。入选教育部青年长江学者（2021年）、广东省青年珠江学者（2017年）、香江学者（2017年）。获得教育部高等学校科学研究优秀成果三等奖，广东省哲学社会科学优秀成果奖一等奖（两次）和二等奖，安徽省科学技术三等奖等奖励。主持了国家自然科学基金（其中1项结题“特优”），广东省自然科学基金和企业横向项目10多项。