报告题目：Maximizing the Benefits of On-Demand Workforce:
Fill Rate-Based Allocation and Coordination Mechanisms
报 告 人： 钟远光 华南理工大学 副教授
时 间：2017-05-18（周四） 下午14:30
地 点：管理学院第二会议室
【报告内容简介】
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 on-demand workforce in this new business context. We consider an on-demand staffing platform and multiple employers with uncertain and possibly time-varying demands. Compared with the traditional staffing solution, we first investigate when the 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 on their own interests. Our result provides a win-win-win solution: Individual employers and the platform operator share the maximum benefits of on-demand staffing, while workers are able to set their own hours. (with Lu Tao and Zheng Zhichao)
【钟远光教授简介】
钟远光，华南理工大学副教授，硕士生导师。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。研究成果发表在Management Science, IIE Transactions, Omega, European Journal of Operational Research等十余种国际期刊以及《管理科学学报》、《系统工程理论与实践》等国内期刊上。主持国家自然科学基金、广东省自然科学基金，广东省软科学等项目多项。获the second place of the 2013 POMS-HK Best Student Paper Competition, the second place of the 2016 CSAMSE Best Paper Award，广东省第六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，安徽省科学技术奖，华南理工大学工商管理学院ME“我最喜爱的老师”奖等。
欢迎有兴趣的教师，全体博士生、硕士生参加。
管理学院
2017．5.15
