鐘遠光教授：Maximizing the Benefits of an On-Demand Workforce 珠江管理論壇第49期
主題: Maximizing the Benefits of an On-Demand Workforce: Fill Rate-Based Allocation and Coordination Mechanisms
主講人：鐘遠光 華南理工大學教授
時間：2019年12月19日（周四）下午2：30
地點：學院301會議室
主講人簡介：鐘遠光，新加坡國立大學和華南理工大學聯合培養博士，教授，博士生導師。入選廣東省青年珠江學者（2017），全國博士后管委辦香江學者（2017）。目前研究興趣包括供應鏈金融，共享經濟以及優化理論在運作管理中的應用等。在管理科學最高級別期刊Management Science發表論文2篇，在IISE Transactions，Omega, EJOR, IJPE, JORS, IJPR, COR, CIE, 管理科學學報，系統工程理論與實踐，南開管理評論等國內外高水期刊上發表論文30多篇。主持華南理工大學杰出青年基金項目，國家自然科學基金項目面上項目和青年項目、廣東省自然科學基金，廣東省軟科學等項目多項,作為子課題負責人參與國家自然科學基金國際（地區）重點項目2項。榮獲華南理工大學優秀博士論文，廣東省第六、七屆哲學社會科學優秀成果獎，教育部第七屆高等學校科學研究優秀成果獎，華南理工大學工商管理學院MBA/ME“我最喜愛的老師”，POMS-HK最佳論文獎二等獎，華人學者管理科學與工程協會學術年會最佳論文獎二等獎和三等獎等。
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.