題目：Stable Statistical Learning and Inference for Large-scale Complex Data

時(shí)間：2025年4月17日 10:30-11:30

地點(diǎn)：機(jī)械樓F210會(huì)議室

邀請(qǐng)人：李勇祥 副教授（工業(yè)工程與管理系）

任好潔副教授研究方向包括預(yù)測(cè)推斷、統(tǒng)計(jì)異常探查、在線學(xué)習(xí)與監(jiān)控、選擇推斷等。

題目：Harness the Power of Patience: Evaluating On-demand, Reservation, and Mixed Service Models in Ride-hailing

時(shí)間：2025年3月31日 10:00-12:00

地點(diǎn)：龍賓樓 503會(huì)議室

邀請(qǐng)人：李娜 副教授（工業(yè)工程與管理系）

Prof. Qingxia KONG，Erasmus University，healthcare 領(lǐng)域研究專家，發(fā)表多篇MS，OR本領(lǐng)域頂級(jí)期刊。

Abstract

This paper examines a ride-hailing platform catering to time-sensitive passengers through on-demand service (SoD), reservation service (SoR), or a mixed service model (MS). SoR requires passengers to book rides in advance, ensuring scheduled pick-ups, while SoD allows passengers to request rides instantly as needed. We investigate optimal operational strategies, focusing on wage and pricing decisions and the profitability of these service types across different market conditions. Game-theoretic models are developed for all three service types to optimize platform profits while incorporating key factors such as passenger delay sensitivity and en-route time-dependent service capacity. Our findings offer practical guidelines for ride-hailing platforms in selecting service types and optimizing operational strategies and highlight the effectiveness of light-touch operational interventions, where minor adjustments can yield optimal results without rigid enforcement.

題目：基于機(jī)制設(shè)計(jì)的城市停車位管理方法：共享與預(yù)約

時(shí)間：2021年3月18日 13:00-14:00

地點(diǎn)：機(jī)械與動(dòng)力工程學(xué)院 F310會(huì)議室

報(bào)告人：徐素秀 教授（暨南大學(xué)）

邀請(qǐng)人：秦威 副教授（工業(yè)工程與管理系）

報(bào)告人簡(jiǎn)介

徐素秀，男，博士、教授、博導(dǎo)；2008年哈爾濱工業(yè)大學(xué)數(shù)學(xué)系獲理學(xué)學(xué)士學(xué)位，2014年香港大學(xué)工業(yè)及制造系統(tǒng)工程系獲哲學(xué)博士學(xué)位；2016年加入暨南大學(xué)智能科學(xué)與工程學(xué)院，破格聘為教授、博士生導(dǎo)師；入選2017年廣東省“珠江人才計(jì)劃”青年拔尖人才，2019年“廣東特支計(jì)劃”本土創(chuàng)新創(chuàng)業(yè)團(tuán)隊(duì)核心成員。研究領(lǐng)域包括交通運(yùn)輸管理、工業(yè)工程、供應(yīng)鏈管理及生態(tài)經(jīng)濟(jì)學(xué)。主要關(guān)注電商物流、智慧城市、拍賣機(jī)制設(shè)計(jì)和優(yōu)化算法，市場(chǎng)設(shè)計(jì)理論與契約理論在共享經(jīng)濟(jì)和生態(tài)經(jīng)濟(jì)中的運(yùn)用。主持過2項(xiàng)國(guó)家自然科學(xué)基金項(xiàng)目、1項(xiàng)廣東省自然資源廳項(xiàng)目、及2項(xiàng)珠海市萬山區(qū)海島客貨運(yùn)規(guī)劃項(xiàng)目。發(fā)明專利申請(qǐng)受理實(shí)審2項(xiàng)。發(fā)表SCI/SSCI期刊論文30余篇，其中包括TR Part B（7篇），Transportation Science（1篇），POM（1篇），IISE（2篇），Ecological Economics（1篇），IJPE（6篇），IEEE T-ASE（2篇），TR Part E（2篇）。研究成果曾獲《IISE Transactions》年度最佳論文獎(jiǎng)，在Google Scholar引用550余次。

報(bào)告摘要

The popularization of private vehicles and increasing urbanization have led to scarcity of parking spaces, which is particularly the case in metropolitan cities. This report will first introduce a simple market design mechanism for private parking space sharing. Second, the report will concern an auction-based parking reservation problem, in which a winner may leave earlier or occupy the parking space longer than the time he has reserved. The platform may penalize or compensate the drivers who cause ex post demand disturbances. An effective multi-stage Vickrey-Clarke-Groves (MS-VCG) auction mechanism is proposed. Finally, the report will point out several promising directions for future work.