学术活动1

当前位置:首页  学术活动1

学术前沿讲座——全局固定局部可调整:连续柔性下的多次配送问题

发布时间:2023-08-27访问量:201


报告题目

Globally Anchored and Locally Adjustable: Shipments with Consecutive Flexibility
全局固定局部可调整:连续柔性下的多次配送问题

报告人(单位)

邓天虎 副教授(清华大学)

主持人(单位)

李泳臻(东南大学)

会议时间

2023082911:00

会议地点

腾讯会议号:412-197-909

提醒:请参会者以真名进入,否则可能会被移出会议!

报告人简介

邓天虎(博士,副教授)目前就职于清华大学工业工程系。2013年于美国加州大学伯克利分校获得工业工程与运筹博士学位,2008年于清华大学工业工程系获得学士学位。目前研究方向侧重智慧供应链。以第一作者和通讯作者在Manufacturing & Service Operations ManagementOperations Research等国际学术期刊和学术会议发表论文20余篇。

报告内容提要

Based on a supply chain involving a manufacturer–retailer relationship, we consider a new class of multi-shipment problem in the context of quick response (QR). Facing long production lead times and mass product varieties, the retailer places an order ahead of the season and the manufacturer delivers the order in multiple shipments. However, different from the classical multi-shipment model, we consider a common industry practice where the retailer dynamically adjusts consecutive shipments’ delivery quantities and/or times. In this paper, this Business-to-Business QR practice is termed as Consecutive Shipments Flexibility (CSF). We model two types of CSF–one with variable shipping quantities and one with variable shipping times, and formulate the multi-shipment problem with CSF as a dynamic program. In both centralized and decentralized systems, we study the optimal shipping decisions and devise incentive contracts that can achieve channel coordination. Interestingly, the coordinating conditions of the system with CSF cover all the coordinating conditions of the classical multi-shipment system. Furthermore, we find that CSF reduces the first few shipments’ quantities while increasing the total order quantity. A key enabler to achieve this result is that the cost-to-go function is proved to be separable and convex in shipping quantities. Our results underscore the importance of CSF and provide a handy tool for optimally computing the shipping quantities and/or times in the multi-shipment problems with CSF.



返回原图
/