報(bào)告題目：Supply Chain Visibility: Impact and Value of Real-time Resource Allocation
時(shí)間：2025年6月5日13：30- 15：00
地點(diǎn)：中關(guān)村主樓418
報(bào)告人：呂國(guó)棟
報(bào)告人國(guó)籍：中國(guó)
報(bào)告人政治面貌： 中共黨員
報(bào)告人職稱：助理教授
報(bào)告人工作單位：香港科技大學(xué)商學(xué)院
報(bào)告人簡(jiǎn)介：
Dr. Guodong Lyu is an Assistant Professor at HKUST Business School, The Hong Kong University of Science and Technology. He has been honored as the Star Faculty at HKUST. He is broadly interested in data-driven decision-making with applications in supply chains, urban transportation, logistics, and public sector issues. Methodologically, his focus lies in online optimization, distributionally robust optimization, and machine learning. His research has been published in journals including Management Science, Operations Research, and Manufacturing & Service Operations Management. His research achievements have been recognized through paper awards such as Finalist in the 2019 INFORMS George B. Dantzig Dissertation Award Competition, 2024 Outstanding Paper Award from the Urban SIG of the INFORMS TSL Society, and Finalist in the 2024 Best Student Paper Competition from the College of SCM of the POMS.
報(bào)告內(nèi)容簡(jiǎn)介：
In recent years, we have seen a surge of interest in supply chain visibility. Under this paradigm, decision-makers are able to trace the real-time data (e.g., stock level, resource allocation flow) along the entire supply chain so that they can identify the decision-making bottlenecks and take actions more efficiently. Motivated by the Gaze Heuristic, we propose a target-based online planning framework to deal with real-time resource allocation problems in both stationary and nonstationary environments. Leveraging on the Blackwell's Approachability Theorem and Online Convex Optimization tools, we characterize the near-optimal performance guarantee of our online solution in comparison with the offline optimal solution, and explore the properties of different allocation policies. We use synthetic and real-world data from various industries, from supply chain planning in manufacturing, to resource deployment in ride-sharing markets, to examine the impact and value of these real-time solutions in practice.
（承辦：管理工程系、科研與學(xué)術(shù)交流中心）
