ENGLISH 中财主站 加入收藏
当前位置: 首 页 > 学术科研 > 讲座报告 > 正文

讲座 | 智能管理交叉学科系列讲座(第十一讲)

发布时间:2022-10-19来源:管理科学系 浏览次数:

讲座题目:《Vehicle Rebalancing in a Shared Micromobility System with Rider Crowdsourcing》

主讲嘉宾:汪玉兰 教授

讲座时间:2022年10月27日(星期四)上午10:00-11:30

讲座地点:腾讯会议:289-730-682

讲座摘要:

Shared micromobility vehicles provide an eco-friendly form of short-distance travel within an urban area. Since customers pick up and drop off vehicles in any service region at any time, such convenience often leads to a severe imbalance between vehicle supply and demand in different service regions. To overcome this, a micromobility operator can crowdsource individual riders with reward incentives in addition to engaging a third-party logistics provider (3PL) to relocate the vehicles. We construct a time-space network with multiple service regions and formulate a two-stage stochastic mixed-integer program considering uncertain customer demands. In the first stage, the operator decides the initial vehicle allocation for the regions, whereas in the second stage, he determines subsequent vehicle relocation across the regions over an operational horizon. We develop an efficient solution approachthat incorporates scenario-based and time-based decomposition techniques. We show that the budgets for acquiring vehicles and for rider crowdsourcing significantly impact the vehicle initial allocation and subsequent relocation. Introducing rider crowdsourcing in addition to the 3PL can significantly increase profit, reduce demand loss, and improve the vehicle utilization rate of the system without affecting any existing commitment with the 3PL. The 3PL is more efficient for mass relocation than rider crowdsourcing, while the latter is more efficient in handling sporadic relocation needs. To serve a region, the 3PL often relocates vehicles in batches from faraway, low-demand regions around peak hours of a day, whereas rider crowdsourcing relocates a few vehicles each time from neighboring regions throughout the day. Furthermore, rider crowdsourcing relocates more vehicles under a unimodal customer arrival pattern than a bimodal pattern, whereas the reverse holds for the 3PL.

嘉宾简介:



Yulan Wang is currently a full professor at the Department of the Logistics and Maritime Studies, Faculty of Business, the Hong Kong Polytechnic University. She received her PhD degree in Business Administration from Duke University. She obtained both her BS and MS degrees from Shanghai Jiao Tong University. Her research work has been published in leading academic journals such asManagement Science,Operations Research,Manufacturing & Service Operations Management,Production and Operations Management, and others. Dr Wang’s research interests include supply chain management, socially responsible and sustainable operations, and behavioral operations management. She serves as a senior editor ofProduction and Operations Managementand an associate editor ofDecision SciencesandOmega. She isan editorial review board member ofProduction and Operations Managementand an editorial advisory board member ofTransportation Research - Part E.


主办单位:管理科学与工程学院