国产精品高清免费网站-国产精品高清2021在线-国产精品福利在线播放-国产精品福利影院-色黄视频在线观看-色狐视频

學(xué)術(shù)活動(dòng)
當(dāng)前位置:首頁 ? 學(xué)術(shù)活動(dòng) ?

鐘遠(yuǎn)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(diǎn)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(yuǎn)光 華南理工大學(xué)教授

時(shí)間:2019年12月19日(周四)下午2:30 

地點(diǎn):學(xué)院301會(huì)議室

 

主講人簡介:鐘遠(yuǎn)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(jì)以及優(yōu)化理論在運(yùn)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(bào),系統(tǒng)工程理論與實(shí)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(xiàng)目,國家自然科學(xué)基金項(xiàng)目面上項(xiàng)目和青年項(xiàng)目、廣東省自然科學(xué)基金,廣東省軟科學(xué)等項(xiàng)目多項(xiàng),作為子課題負(fù)責(zé)人參與國家自然科學(xué)基金國際(地區(qū))重點(diǎn)項(xiàng)目2項(xiàng)。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(huì)科學(xué)優(yōu)秀成果獎(jiǎng),教育部第七屆高等學(xué)校科學(xué)研究優(yōu)秀成果獎(jiǎng),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(jiǎng)二等獎(jiǎng),華人學(xué)者管理科學(xué)與工程協(xié)會(huì)學(xué)術(shù)年會(huì)最佳論文獎(jiǎng)二等獎(jiǎng)和三等獎(jiǎng)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.