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Stefanus' main research interests are in predictive and prescriptive business analytics, with a focus on developing optimization algorithms for solving complex, large-scale, analytics problems. He has worked on a wide range of applications including revenue management and pricing, assortment optimization, marketing analytic, supply chain and inventory management, e-commerce and omni-channel logistics, crowdsourced on-demand businesses, and online learning and optimization. His works in collaboration with several students and co-authors have been acknowledged by several awards, including 2019 Finalist in POMS-JD.com Best Paper Competition, 2018 Finalist in MSOM Student Paper Competition, 2018 Finalist in IBM Best Student Award Competition, 2018 Winner of INFORMS Revenue Management and Pricing Section Prize Award, 2017 Winner of INFORMS eBusiness Best Paper Award, and 2017 Second Prize in POMS-HK Student Paper Competition. Stefanus is currently serving as an Associate Editor at several journals: Management Science, Operations Research, Manufacturing and Service Operations Management, Production and Operations Management, and Naval Research Logistics.
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论文共 72 篇作者统计合作学者相似作者
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Social Science Research Network (2023)
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Social Science Research Network (2023)
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Social Science Research Network (2023)
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Social Science Research Network (2023)
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M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENTno. 2 (2023): 554-572
Advances in Applied Probabilityno. 3 (2023): 1075-1083
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