時間：2022年1月12日（星期三）上午10：30-12:00
地點：主樓216
報告人：清華大學經濟偉德國際1946bv官網梁湧副教授
主講人簡介：
梁湧，目前任職于清華大學經濟與偉德國際1946bv官網，管理科學與工程系。博士畢業于UC Berkeley的工業工程與運籌學專業，碩士與本科分別畢業于Purdue University和清華大學，獲得核工程和工程物理碩士與學士學位。13-14曾任職于Google公司負責數據中心優化。目前研究興趣包括數據驅動優化理論；優化理論以及其在運營管理中的應用；動態機制設計等。
報告內容簡介：
Problem definition: Observing the retail industry inevitably evolving into omnichannel, we study an offline-channel planning problem that helps an omnichannel retailer make store location and location-dependent assortment decisions in its offline channel to maximize profit across both online and offline channels, given that customers’ purchase decisions depend on not only their preferences across products but also, their valuation discrepancies across channels, as well as the hassle costs incurred. Academic/practical relevance: The proposed model and the solution approach extend the literature on retail-channel management, omnichannel assortment planning, and the broader field of smart retailing/cities.
Methodology: We derive parameterized models to capture customers’ channel choice and product choice behaviors and customize a corresponding parameter estimation approach employing the expectation-maximization method. To solve the proposed optimization model, we develop a tractable mixed integer second-order conic programming reformulation and explore the structural properties of the reformulation to derive strengthening cuts in closed form.
Results: We numerically validate the efficacy of the proposed solution approach and demonstrate the parameter estimation approach. We further draw managerial insights from the numerical studies using real data sets. Managerial implications: We verify that omnichannel retailers should provide location-dependent offline assortments. In addition, our benchmark studies reveal the necessity and significance of jointly determining offline store locations and assortments, as well as of incorporating the online channel while making offline-channel planning decisions.
（承辦：管理工程系、科研與學術交流中心）
