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讲座题目：maximizing the benefits of an on-demand workforce: fill rate-based allocation and coordination mechanisms

讲座介绍：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. （with tao lu and zhichao zheng）

主讲人简介：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。