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鐘遠光教授:Maximizing the Benefits of an On-Demand Workforce 珠江管理論壇第49期

2019-12-19 14:42:00 來源:院科研辦 點擊: 收藏本文

主題: Maximizing the Benefits of an On-Demand Workforce: Fill Rate-Based Allocation and Coordination Mechanisms微信圖片_20191213143229.jpg

主講人:鐘遠光 華南理工大學(xué)教授

時間:2019年12月19日(周四)下午2:30 

地點:學(xué)院301會議室

 

主講人簡介:鐘遠光,新加坡國立大學(xué)和華南理工大學(xué)聯(lián)合培養(yǎng)博士,教授,博士生導(dǎo)師。入選廣東省青年珠江學(xué)者(2017),全國博士后管委辦香江學(xué)者(2017)。目前研究興趣包括供應(yīng)鏈金融,共享經(jīng)濟以及優(yōu)化理論在運作管理中的應(yīng)用等。在管理科學(xué)最高級別期刊Management Science發(fā)表論文2篇,在IISE Transactions,Omega, EJOR, IJPE, JORS, IJPR, COR, CIE, 管理科學(xué)學(xué)報,系統(tǒng)工程理論與實踐,南開管理評論等國內(nèi)外高水期刊上發(fā)表論文30多篇。主持華南理工大學(xué)杰出青年基金項目,國家自然科學(xué)基金項目面上項目和青年項目、廣東省自然科學(xué)基金,廣東省軟科學(xué)等項目多項,作為子課題負責(zé)人參與國家自然科學(xué)基金國際(地區(qū))重點項目2項。榮獲華南理工大學(xué)優(yōu)秀博士論文,廣東省第六、七屆哲學(xué)社會科學(xué)優(yōu)秀成果獎,教育部第七屆高等學(xué)校科學(xué)研究優(yōu)秀成果獎,華南理工大學(xué)工商管理學(xué)院MBA/ME“我最喜愛的老師”,POMS-HK最佳論文獎二等獎,華人學(xué)者管理科學(xué)與工程協(xié)會學(xué)術(shù)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.