报告题目：Managing Hybrid Manufacturing/Remanufacturing Inventory Systems with Random Production Capacities

时间：5月30日（周四）16:00-17:30

地点：中关村校区主楼317

报告人：龚锡挺教授

报告人简介：

龚锡挺现为香港中文大学商学院决策、营运与科技学系教授。在加入香港中文大学之前，他曾在美国密歇根大学工业与运作工程系从事博士后研究。他在北京大学数学科学学院获得学士学位以及光华12BET获得硕士与博士学位。他的主要研究领域是运营与供应链管理，包括随机库存管理、固定寿命易逝品库存管理、回收再制造生产库存管理、收益管理与定价等。他在Management Science、Operations Research、Production and Operations Management等运营管理领域的国际顶级学术期刊发表了十余篇学术论文，并主持了多项香港研究资助委员会资助的科研项目。他目前担任国际学术期刊Naval Research Logistics和Operations Research Letters的副主编。

报告内容简介：

We consider hybrid manufacturing/remanufacturing inventory systems that produce a single product to satisfy demands over a finite planning horizon. In each period, the firm receives random demand and returns of end-of-life products. A serviceable product can be manufactured from ample raw materials or remanufactured from a returned product. The two operations possess random dedicated capacities. The firm's objective is to minimize the expected total discounted cost over the planning horizon. We partially characterize the firm's optimal inventory policy when the two capacities are positively dependent and completely characterize it when only one capacity is random. When there is ample manufacturing capacity, we connect the model with an auxiliary dual-sourcing inventory model and derive a more detailed structure of the optimal policy. Finally, our numerical study provides actionable insights into the effects of random capacities. Among others, we find that approximating a slightly/moderately variable remanufacturing capacity as its deterministic mean capacity or ignoring the correlation between two random capacities under a multi-period setting incurs a limited cost to the firm. This is joint work with Suting Liu.