主题: Maximizing the Benefits of an On-Demand Workforce: Fill Rate-Based Allocation and Coordination Mechanisms

主讲人：钟远光　华南理工大学教授

时间：2019年12月19日（周四）下午2：30 

地点：学院301会议室

主讲人简介：钟远光，新加坡国立大学和华南理工大学联合培养博士，教授，博士生导师。入选广东省青年珠江学者（2017），全国博士后管委办香江学者（2017）。目前研究兴趣包括供应链金融，共享经济以及优化理论在运作管理中的应用等。在管理科学最高级别期刊Management Science发表论文2篇，在IISE Transactions，Omega, EJOR, IJPE, JORS, IJPR, COR, CIE, 管理科学学报，系统工程理论与实践，南开管理评论等国内外高水期刊上发表论文30多篇。主持华南理工大学杰出青年基金项目，国家自然科学基金项目面上项目和青年项目、广东省自然科学基金，广东省软科学等项目多项,作为子课题负责人参与国家自然科学基金国际（地区）重点项目2项。荣获华南理工大学优秀博士论文，广东省第六、七届哲学社会科学优秀成果奖，教育部第七届高等学校科学研究优秀成果奖，华南理工大学工商管理学院MBA/ME“我最喜爱的老师”，POMS-HK最佳论文奖二等奖，华人学者管理科学与工程协会学术年会最佳论文奖二等奖和三等奖等。

摘要：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.