2017中新运营管理学术研讨会

文:西南财经大学统计学院 发布时间:2017-03-08 浏览次数:436

时间:2017312日下午200500

主办单位:西南财经大学统计学院

主讲人:Li Zhi-Feng, Michael (新加坡南洋理工大学南洋商学院副教授),庄伟芬(厦门大学管理学院副教授),刘彦(中国科学技术大学管理学院副教授)

地点:通博楼B212学术会议室

 

会议日程(2017312日):

时间

内容

2:00pm-2:50pm

新加坡南洋理工大学Li Zhi-Feng, Michael教授会议报告:

Airline Seat Allocation under Competition with Dependent Demands

2:50pm-3:00pm

中场休息

3:00pm-3:50pm

厦门大学庄伟芬教授报告:

A Reservation Policy for Medical Diagnostic Resource Allocation

3:50pm-4:00pm

中场休息

4:00pm-4:50pm

中国科学技术大学刘彦教授报告:

Dynamic Nonlinear Pricing of Inventories over Finite Sales Horizons

 

报告摘要:

 

 

Airline Seat Allocation under Competition with Dependent Demands

 

Michael Li Zhi-Feng

Nanyang Business School, Nanyang Technological University

We examine a seat allocation game between two airlines for flights with two fares with dependent random demands. The strategic variable of this game is each airline’s booking limit for the low fare. We have shown that there exists an equilibrium booking strategy such that both airlines will protect the same number of seats for the full fare and the total number of seats available for the discount fare under competition is smaller than the total number of seats that would be available if the two airlines collude. A numerical example is used to illustrate the equilibrium solutions and to examine the impact of the capacity shares and the level of dependency between random demands. We conclude with some open questions for further research.

 

 

A Reservation Policy for Medical Diagnostic Resource Allocation

 

Weifen Zhuang

Department of Management Science, School of Management, Xiamen University

Medical diagnostic facilities such as CT or MRI, which form the critical part of a comprehensive health care system, play an important role in the proper diagnosis and timely treatment of diseases. Hospital managers are under great pressure to manage such facilities efficiently and effectively. This problem is critical in China, especially in the general hospitals. In this paper, we study the resource allocation problem of medical diagnostic facilities accessed by three types of patients. Both inpatients and outpatients have to make appointments in advance and emergency patients walk in directly. We formulate a dynamic programming model of the resource allocation problem and study the structural properties, based on which we fully characterize the optimal reservation policy. An upper-bound to the DP value is obtained from a standard ``hind-sight'' optimal argument, and is shown to be asymptotically optimal. A lower-bound to the DP is created through three independent newsvendor problems constrained by the capacity. The gap between the upper-bound and lower-bound is explicitly quantified. We then propose and compare three heuristic policies analytically. The process and data of West China Hospital are used for analysis and implementation. Numerical studies show that the performance of bounds works very well and our heuristic policy outperforms the hospital's baseline policy significantly.

 

 

Dynamic Nonlinear Pricing of Inventories over Finite Sales Horizons

 

Yan LIU

Department ofManagement Science, School of Management, University of Science and Technology of China

We present three dynamic pricing models in a setting where customers can be incentivized to purchase multiple units. We assume a finite sales horizon with a sunk investment in limited inventories, where customer demands form a compound Poisson process that is price dependent. The dynamic linear pricing (DLP) model charges a uniform price that depends on the time-to-go and the remaining capacity. The dynamic package pricing (DPP) model allows complete freedom in pricing different package sizes. We also study dynamic block pricing (DBP) as an intermediate scheme where prices are linear within each block. For all models, we present analysis and structural results and compare their performance, both theoretically and numerically. We find that the potential revenue improvement of DPP over DLP ranges from 30% to 90%, depending on the purchase quantity. Our numerical studies reveal that DBP achieves more than 97% of the revenues from DPP.

 

This is a joint work with Guillermo Gallego at HKUST and Michael Z.F. Li at Nanyang Technological University.

报告人简介:

 

Li Zhi-Feng, Michael

李志峰博士目前是南洋理工大学商学院的终身副教授。他在国际杂志上发表了众多学术文章,这些杂志包括Transportation Science, Transportation Research B, Transportation Research E, Operations Research Letters, European Journal of Operational Research, Journal of Theoretical Probability, Canadian Journal of Statistics, Journal of Revenue and Pricing Management, International Journal of Transport Economics等。他为多个政府机构和国际组织提供专家或智囊服务,其中包括新加坡国会交通委员会(1996)、亚太交通部长论坛(1997)、亚太经济合作理事会交通工作小组(1997-2000)、新加坡公共交通理事会(2004)、新加坡陆路交通管理局(20072012)、新加坡民航局(2012)等等。他是航空研究学会(ATRS)、运筹学与管理科学学会(INFORMS)以及作业与运营管理协会(POMS)的成员。

 

庄伟芬

庄伟芬,厦门大学管理学院管理科学系副教授,现代企业与医疗服务运营技术管理研究中心主任,新加坡南洋理工大学商学院运营管理博士、加拿大麦吉尔大学博士后、香港中文大学博士后。主要研究方向包括:定价与收益管理、医疗运作与服务管理、医疗与健康的数据分析与决策,在European Journal of Operational Research, Journal of Operational Research Society, Journal of Revenue and Pricing Management, Maritime Policy & Management, Operations Research Letters, Production and Operations Management等国际顶级和著名学术期刊上发表论文十多篇,主持两项国家自然科学基金,与厦门市中山医院、厦门市卫生局合作的《区域临床路径智能协作平台》获2016年厦门市科技进步二等奖。担任本科生Operations Research Pricing and Revenue Management等课程的全英文教学,以及研究生Stochastic Dynamic Programming等方法论课程,获厦门大学英语教学比赛一等奖和多项其他教学奖项,撰写的厦航收益管理教学案例被加拿大毅伟商学院和哈佛商学院案例库同时收录。

 

刘彦

Yan Liu is an associate professor in the department ofManagement Science at the School of Management in the University of Science and Technology of China. Dr. Liu earned his Ph.D. from the Nanyany Business School, Nanyang Technological University in 2014. He also received a Master and Bachelor degree in Statistics from Beijing Normal University in 2009 and 2006, respectively. His research interests lie in revenue management, inventory management, behaviour OM and OM-Marketing interface.

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