时间：2月26日（本周四）下午2🥉：30开始

地点：舜德楼北510会议室

报告人：香港科技大学徐静

报告题目👨🏽‍💼：An Optimization Framework of The Box Sizing Problem for Supply Chain Reengineering

报告摘要：

Long term changes in supply chain strategy will cause optimization problems in short term operations, of which the solution quality is the crucial element of the strategy changes which result in success or failure.  We consider the Box Sizing Problem(BSP) which is such a new and complex optimization problem requested by supply chain reengineering. To shift the assorting and repacking process from the retailer side to the supplier side, a redesign in size is needed for two layers of boxes.  We studies how to determine the box sizes to maximize the total volume utilization of containers for shipping the ordered demand of products. We decompose this problem into several subproblems to reduce complexity and use a Cut/Pack/Select(CPS) framework and an IP model to solve the original problem making use of the existing heuristic algorithm of another optimization problem, the Container Loading Problem, which is well-studied. Physical and managerial issues are considered and included in the problem modeling. We also prove that the box sizes can be determined before the demand of products is fixed. Numerical results and analysis show that our framework can efficiently generate solutions with good quality.

报告人简介：

Ms. Jing XU is a Ph.D. candidate in the Department of Industrial Engineering and Logistics Management, Hong Kong University of Science and Technology.  After receiving her Bachelor's degree in Computer Science from Tsinghua University, she continued her Ph.D. studies in Operations Research and Supply Chain Management under the supervision of Prof. Andrew Lim, and expects to complete her Ph.D. program in May 2009.

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