Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/244760
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dc.titleANALYTICS IN OPERATIONS: STATISTICAL MODELING AND OPTIMIZATION UNDER UNCERTAINTY
dc.contributor.authorNI TU
dc.date.accessioned2023-08-31T18:00:20Z
dc.date.available2023-08-31T18:00:20Z
dc.date.issued2023-06-09
dc.identifier.citationNI TU (2023-06-09). ANALYTICS IN OPERATIONS: STATISTICAL MODELING AND OPTIMIZATION UNDER UNCERTAINTY. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/244760
dc.description.abstractIn modern businesses, operations have become increasingly complex due to factors such as technological advancements, evolving customer demands, and changing environments. Organizations and firms generate data from various sources such as historical orders, supply chain activities, and customer interactions. We develop analytics solutions that apply statistical modeling and optimization techniques to make informed decisions in the face of uncertainty, and eventually gain valuable insights and drive operational improvements including cost reduction, risk mitigation, and revenue maximization.
dc.language.isoen
dc.subjectexperimental design; causal inference; hypothesis testing; process flexibility; service design; online platforms
dc.typeThesis
dc.contributor.departmentINST OF OPERATIONS RESEARCH & ANALYTICS
dc.contributor.supervisorChung Piaw Teo
dc.contributor.supervisorLong He
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY (IORA)
dc.identifier.orcid0000-0002-3176-4180
Appears in Collections:Ph.D Theses (Open)

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