Conferences
The 15th POMS-HK International Conference
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Dates |
TBD |
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Venue |
The Chinese University of Hong Kong |
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Theme |
TBD
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Website: |
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The 14th POMS-HK International Conference
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Dates |
Jan 5-6 (Fri, Sat), 2024 |
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Venue |
The Hong Kong University of Science and Technology |
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Theme |
New Frontiers in Operations Management – Opportunities and Challenges
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Website: |
https://pomshk2024.hkust.edu.hk/
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The 13th POMS-HK International Conference
The 12th POMS-HK International Conference
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Dates |
January 8-9, 2022 |
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Venue |
Lingnan University (Hong Kong) and South China University of Technology (Guangzhou) |
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Theme |
Beyond All Limits: The Future of POM Research |
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Website: |
https://www.ln.edu.hk/hkibs/pomshk2022/
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2021 POMS-HK DISTINGUISHED SPEAKER SERIES
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Time (HKT): |
9:00AM-11:00AM, MAY 14 (FRIDAY), 2021 |
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Zoom Link: |
https://polyu.zoom.us/j/96176907937
Meeting ID: 961 7690 7937
Passcode: 878782
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Speaker: |
PROF. SERGEI SAVIN, UNIVERSITY OF PENNSYLVANIA
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Title: |
Off-Platform Threats in On-Demand Services
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Abstrac: |
Online platforms that provide on-demand services are often threatened by the phenomenon of leakage, where customer-provider pairs may decide to transact ``off-platform" to avoid paying the platform commissions. There is a current dearth of studies in the operations literature that systematically analyze the key factors behind platform leakage. We develop two game-theoretical models that capture service providers' and customers' decisions whether to conduct their business on or off the platform. In the base model, we assume that customers are equipped with information to select their desired providers on the platform, whereas in the extension, we assume customers are randomly matched with available providers by the platform.
Across both models, platforms tend to be more immunized against leakage as customer valuations for service increase or their waiting costs decrease. In the base model, platforms with larger provider pool sizes tend to be more immunized against leakage. In the extension, platforms that feature higher proportions of high-quality providers or lower heterogeneity in service quality are more resistant to leakage. By comparing the degree of leakage or the platform's expected profit between both settings, we find that neither model of perfect information nor the imperfect information setting dominates the other.
*Joint work with Eryn He, Joel Goh, and C.P. Teo
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2021 POMS-HK DISTINGUISHED SPEAKER SERIES
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Time (HKT): |
9:00AM-11:00AM, MAY 7 (FRIDAY), 2021 |
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Zoom Link: |
https://cuhk.zoom.us/j/97453392351?pwd=bjF3WFJhQjRnVnlkRk45SUJXbVJpdz09
Meeting ID: 974 5339 2351
Passcode: 906506
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Speaker: |
PROF. GEORGE SHANTHIKUMAR, PURDUE UNIVERSITY
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Title: |
Prescriptive Data Analytics for Operations Management
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Abstrac: |
In this talk we will survey the different approaches developed for data driven static and dynamic decision making in operations management. Within the context of static decision problems, we will discuss, Sample Average Approximation (SAA), Retrospective Optimization (RetrO), Robust Optimization (RobO), Adversarial Optimization (AdvO), Smart Predict then Optimize (SP+O), and Operational Data Analytics (ODA). We will discuss the relationship and relative advantages of the different approaches. For dynamic decision problems, we will survey the different Multiarmed Bandit (MAB), Reinforcement Learning (RL) and End-to-End integration (E2E) Approaches. We will discuss how Machine Learning (ML) algorithms such as Random Forest (RF), AdaBoost, Artificial Neural Networks (ANN) are integrated into providing prescriptive solution to OM problems.
*Based on joint work with Qi Annabelle Feng
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The 11th POMS-HK International Conference
The 10th POMS-HK International Conference
The 9th POMS-HK International Conference
The 8th POMS-HK International Conference
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Dates |
January 7-8, 2017 |
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Venue |
Lee Shau Kee Business Building, The Hong Kong University of Science and Technology, Hong Kong |
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Theme |
Boundless Opportunities in Operations Management |
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Website: |
http://pomshk2017.ust.hk/
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The 7th POMS-HK International Conference
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Dates |
January 9-10, 2016 |
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Venue |
Faculty of Business Administration (E22 Building), University of Macau (Macau, China) |
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Theme |
Innovation-driven Services and Operations |
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Website: |
http://www.lms.polyu.edu.hk/pomshk2016/
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The 6th POMS-HK International Conference
The 5th POMS-HK International Conference
The 4th POMS-HK International Conference
The 3rd POMS-HK International Conference
The 2nd POMS-HK International Conference
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Dates |
January 6, 2011 - January 7, 2011 |
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Venue |
The Hong Kong University of Science and Technology |
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Theme |
POM in the Economy Recovery |
The 1st POMS-HK International Conference
Hosted by The Production and Operations Management Society - Hong Kong Chapter and Logistics Research Centre, Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University.
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Date |
December 30, 2009 |
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Venue |
The Hong Kong Polytechnic University
Hung Hom, Kowloon, Hong Kong |
