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Title: Mitigating risk and ambiguity in service systems
Authors: QI JIN
Keywords: risk and ambiguity, healthcare operations, transportation, service system
Issue Date: 21-May-2014
Citation: QI JIN (2014-05-21). Mitigating risk and ambiguity in service systems. ScholarBank@NUS Repository.
Abstract: This dissertation explicitly distinguishes between risk, where the frequency of outcomes is exactly known, and ambiguity, where it is not, and studies problems in two service systems: transportation system and healthcare system. At its core, we collectively address three issues: 1) how to properly model uncertainties to incorporate empirical data and reflect real-world concerns, 2) how to describe and prescribe individual preferences when facing uncertainties and account for behavior issues such as fairness, and 3) how to incorporate the two aspects in optimization models so that meaningful decisions can be obtained with modest computational effort. In the transportation system, we study travelers? preferences for uncertain travel times and apply it on the Network Equilibrium model and the routing optimization model. In the healthcare system, we study an appointment system design problem where heterogeneous participants are sequenced and scheduled for service. The aim is to mitigate delays and address fairness concerns.
Appears in Collections:Ph.D Theses (Open)

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