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  • 學術講座

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    【經管大講堂2022第017期】

    時間:2022-06-06作者: 審核: 來源:經濟管理學院點擊:213

    報告題目:Early Reservation for Follow-up Appointments in a Slotted-Service Queue

    報告所屬學科:管理科學與工程

    報告人:丁弋川(美國斯坦佛大學)

    報告時間:2022年6月16日(周四)晚7:30-8:10 

    報告地點:騰訊會議:184-401-756

    報告摘要:

    We study an appointment-based slotted-service queue with the goal of maximizing service volume. Returning customers prefer to be served by the same service agent as in their previous visit. We consider a simple strategy that a service provider may use to reduce balking among returning customers -- designate some returning customers as high-priority customers. These customers are placed at the head of the queue when they call for a follow-up appointment. In an appointment-based system, this policy can be implemented by booking a high-priority returning customer's appointment right before he or she leaves the service facility. We study an appointment-based slotted-service queue with the goal of maximizing service volume and analyze three systems: an open-access system, a traditional appointment system, and a carve-out system.

    報告人簡介:

    丁弋川,美國斯坦佛大學管理科學與工程專業博士?,F任加拿大麥吉爾大學副教授,曾就職于美國紐約IBM研究中心。主要研究方向為優化問題、排隊論和計量經濟學;研究應用領域包括醫療保健和其他公共部門。在《Operations Research》、《Mathematics of Operations Research》、《Manufacturing & Service Operations Management》等刊物上發表多篇高水平論文,并擔任《Operations Research》、《Management Science》、《Mathematics of Operations Research》等期刊審稿人。


    報告題目:A Structural Estimation of Airport Ground Transport Mode Choice Using Aggregate Data

    報告所屬學科:管理科學與工程

    報告人:夏聞一(加拿大不列顛哥倫比亞大學)

    報告時間:2022年6月16日(周四)晚8:10-8:50

    報告地點:騰訊會議:184-401-756

    報告摘要:

    This study aims to identify factors affecting passenger choice of airport ground transportation modes using aggregate data. We develop a structural estimation method adaptable to this data. Our method estimates the ridership of each train and bus based on a structural discrete choice model. This approach essentially converts unobserved individuals choice probability to the observable ridership. The model coefficients are computed by the nonlinear least-squares estimation which minimizes the distance between estimated and observed ridership. The estimation results suggest that passengers who fly Korean airlines or have experienced longer waiting times are less likely to take public transportation, and passengers who fly low-cost airlines are more likely to take public transport. This approach allows counterfactual analysis to estimate how ridership of airport ground transport services would be if the schedules were adjusted.

    報告人簡介:

    夏聞一,加拿大不列顛哥倫比亞大學運輸與物流專業博士?,F任加拿大蒙特利爾高等商學院物流和運營管理部助理教授。主要研究方向為運輸與物流、運營管理、實證研究、數據分析、數據驅動優化、出行行為估計和交通經濟與政策等。作為第一作者在交通運輸領域國際頂級期刊《Transportation Research Part B: Methodological》上發表多篇高水平論文,并擔任《Transportation Research Part B: Methodological》、《Transportation Research Part A: Policy and Practice》等期刊審稿人。


    學院地址:江蘇省南京市江寧區將軍大道29號

    郵政編碼:211106

    版權所有:南京航空航天大學 ALL RIGHTS RESERVED 蘇ICP備05070685號

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