美国北卡罗来纳大学夏洛特分校何秀丽博士应邀管理与经济学院作学术报告
题目：Dynamic  Pricing, Production, and Channel Coordination with Stochastic  Learning
主讲人：何秀丽博士(美国北卡罗来纳大学夏洛特分校)
时间：2014年7月8日  上午10:00
地点：主楼六层会议室
主讲人简介：
Xiuli He is  an Associate Professor of Operations Management at the Belk College of Business  at the University of North Carolina at Charlotte. She received her Ph.D. in  Supply Chain and Operations Management from the University of Texas at Austin.  Her research interests include channel coordination, dynamic pricing,  cooperative advertising, supply chain analytics, and inventory management with  stochastic learning, and behavioral issues in supply chain management. Her  research has been published by journals such as Production and Operations  Management, Decision Sciences, European Journal of Operational Research,  Operations Research Letters, International Journal of Production Research,  Journal of Optimization Theory and Applications, and Journal of Systems Science  and System Engineering. She serves as an Associate Editor of International  Journal of Production Research and serves on the editorial boards of Production  and Operations Management and American Journal of Operational  Research.
内容简介：
We consider a decentralized two-period  supply chain in which a manufacturer produces a product with benefits of cost  learning, and sells it through a retailer facing a price-dependent demand. The  manufacturers second-period production cost declines linearly in the  first-period production, but with a random learning rate. The manufacturer may  or may not have the inventory carryover option. We examine the impact of mean  learning rate and learning rate variability on the pricing strategies of the  channel members, on the manufacturer’s production decisions, and on the  retailer’s procurement decisions. We show that as the mean learning rate or the  learning rate variability increases, the traditional double marginalization  problem becomes more severe, leading to greater efficiency loss in the channel.  We obtain revenue sharing contracts that can coordinate the dynamic supply  chain. In particular, when the manufacturer may hold inventory, we identify two  major drivers for inventory carryover: market growth and learning rate  variability. Finally, we demonstrate the robustness of our results by examining  a model in which cost learning takes place continuously.