博彩平台

时间：2024年11月26日下午 15:00-16:30

地点：东校区财科馆316会议室

题目：基于数据驱动的库存管理：机器学习赋能运营卓越

Title: Data-Driven Inventory Management: Leveraging Machine Learning for Operational Excellence

摘要：在当今不断演变的商业环境中，零售商可以从日常运营中产生的海量数据中获得前所未有的信息。这些丰富的数据提供了预测不确定需求和克服库存管理挑战的潜在大机会。为了充分发挥可用数据的潜力，机器学习工具已经成为驱动高质量、数据驱动解决方案的不可或缺的技术。在本讲座中，我们将深入探讨不同的基于数据驱动的库存管理设置，无缝地融入机器学习元素，构建其基础理论，并从运营角度提供有价值且实用的见解。 

Abstract: In today's ever-evolving business landscape, retailers have unprecedented access to vast amounts of data generated from their daily operations. This wealth of data presents unparalleled opportunities to predict uncertain demand and overcome challenges in inventory management. To harness the full potential of available data, machine learning tools have emerged as indispensable techniques for driving high-quality, data-driven solutions. In this talk, we delve into different data-driven inventory management settings that seamlessly incorporate machine learning elements, forming their foundation theories and offering valuable and practical insights from operational perspectives.

主讲人：林少冲博士

主讲人简介：

林少冲博士是香港大学数据及系统工程系的助理教授（研究）。林博士在香港城市大学博彩平台 获得管理科学博士学位，目前的研究兴趣包括基于数据驱动的运营管理、机器学习与运筹学之间的交叉，以及它们在供应链管理和智慧交通等实际问题中的应用。林博士积极与京东、快手等实际企业合作，用模型和算法解决实践中激发的研究问题。他的实践研究已发表在Production and Operations Management、IEEE Transactions on Automation Science and Engineering、Scientific Reports、Omega、Transportation Research Part E、International Journal of Medical Informatics和Computers & Industrial Engineering等领域国际期刊上。他曾获得多个学术会议最佳论文奖和数据分析竞赛奖项。担任Management Science、Operations Research和Production and Operations Management等顶级期刊的审稿人。他还担任第27届AAAI人工智能大会（2023）的程序委员会成员。相关研究获得香港优配研究金（GRF）和国家自然科学（NSFC）青年基金的资助。更多关于他的研究信息可参考他的个人网站//sites.google.com/view/shaochong/publication

Bio:

Dr. Shaochong Lin is a Research Assistant Professor in the Department of Data and Systems Engineering at the University of Hong Kong. Dr. Lin received his PhD degree in Management Sciences from the College of Business, City University of Hong Kong.  Dr. Lin's current research involves data-driven Operations Management, interfaces between Machine Learning and Operations Research, and their applications in real-world problems in Supply Chain Management and Smart Transportation. He is proactive in cooperating with real-world companies, such as JD.com and Kuaishou, and solving research problems motivated by practice. He has published his practical research in leading journals, such as Production and Operations Management, IEEE Transactions on Automation Science and Engineering, Scientific Reports, Omega, Transportation Research Part E, International Journal of Medical Informatics, and Computers & Industrial Engineering. He has obtained various best-paper awards and data analytics competition awards. He is an ad-hoc reviewer for journals such as Management Science, Operations Research, and Production and Operations Management. He is serving as a program committee member for the 27th AAAI Conference (2023) on Artificial Intelligence. Dr. Lin is also the awardee of the General Research Fund (GRF) from Hong Kong and the Science Fund for Young Scholars from the National Natural Science Foundation of China (NSFC). More information about his research can be found:   //sites.google.com/view/shaochong/publication