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现代供应链管理研究院举办第102期明哲学术论坛
2024年06月13日

2024年6月12日上午,现代供应链管理研究院第102期学术论坛在笃行楼712如期举行。主讲人于漫,香港科技大学商学院信息系统、商业统计与运营管理系教授。她的主要研究兴趣包括通过消费者行为建模进行定价和收益管理、运营和营销的交互以及供应链管理。报告题目为“Too Good to Go: Combating Food Waste with Surprise Clearance”。

 

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论坛上,于漫教授就她的研究成果,结合相关案例,向在场的参会人员进行了一场细致而生动的汇报分享。与会师生对于漫教授的研究成果进行了深入的探讨与交流,现场气氛热烈,发言踊跃。通过此次交流讨论,师生们能够互相启发,拓展彼此的研究思路,拓宽学术视野。未来,我院将继续加强高质量科研交流平台的建设,为学者们提供更多交流与合作的机会,进一步推动相关研究领域的发展,并为学校的双一流建设注入新的活力。

【摘要】

This paper studies surprise clearance as an innovative business model to increase store profit and reduce food waste. A store holding surprise clearance sells “surprise bags” composed of surplus food that would otherwise become waste. At the time of ordering, consumers are uncertain about the quantity of food items included in a surprise bag. We model surprise clearance and compare it with both no clearance and transparent clearance, which sets a transparent unit clearance price based on the amount of surplus food after regular sales. We find that surprise clearance achieves the highest store profit and induces the most store production among the three selling schemes. While both clearance schemes have the ability to eliminate store waste, the store effectively does so under surprise clearance but deliberately does not under transparent clearance. In fact, transparent clearance may generate even more store waste than no clearance. Further, both clearance schemes exacerbate the problem of consumer waste compared to no clearance, and despite zero store waste, surprise clearance generates the most consumer waste among the three schemes. If clearance sales target a consumer segment with a sufficiently low valuation of consumption, both clearance schemes reduce total food waste and surprise clearance represents a win-win solution that maximizes store profit and minimizes total waste among the three schemes. However, there are circumstances under which both clearance schemes fail to reduce total waste, and surprise clearance may end up with the most total waste among the three schemes.

【报告人简介】

于漫,香港科技大学商学院信息系统、商业统计与运营管理系教授。她于密歇根大学罗斯商学院获得商业管理博士学位,在清华大学经济管理学院获得管理科学学士和硕士学位。她的主要研究兴趣包括通过消费者行为建模进行定价和收益管理、运营和营销的交互以及供应链管理。她目前担任Production and Operations Management杂志高级编辑以及Decision Sciences杂志的副主编。


撰稿:王   戈

初审:冯月昕

复审:刘   旭

终审:张   颖






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