Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/153738
Title: ONLINE RESOURCE ALLOCATION: THEORY AND APPLICATIONS
Authors: GUODONG LYU
ORCID iD:   orcid.org/0000-0002-3900-4258
Keywords: Online Resource Allocation, Online Optimization, Capacity Pooling System, Supply Chain Management, Ride-Sharing Markets, Non-Stationary Environment
Issue Date: 2-Jan-2019
Citation: GUODONG LYU (2019-01-02). ONLINE RESOURCE ALLOCATION: THEORY AND APPLICATIONS. ScholarBank@NUS Repository.
Abstract: In recent years, we have seen a surge of interest in the use of online resource allocation on various operational problems. Under this paradigm, the decision maker adaptively allocates resources over time in an online fashion, without being informed of future state of the environment. In the thesis, we develop a class of online resource allocation policies for a wide spectrum of operations management applications. The problem of interest is to characterize the performance guarantee of our online solution in comparison with the offline optimal solution, and to explore the properties of different allocation policies. We use synthetic and real data from various industries, from supply chain planning in manufacturing, to resource deployment in ride-sharing markets, to evaluate the performance of these algorithms in practice.
URI: https://scholarbank.nus.edu.sg/handle/10635/153738
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