| Muer Yang
圣托马斯大学助理教授
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【主讲】圣托马斯大学助理教授Muer Yang
【题目】外科重症监护室轮到你了：病人批量到达时外科重症监护室的有效收纳控制策略
【时间】2015年6月29日（周一）14.00-16.00
Muer Yang is an Assistant Professor in the Department of Operations and Supply Chain Management in the Opus College of Business, University of St. Thomas (UST). He received his Ph.D. in Operations Management from the University of Cincinnati, and an M.S. in Management Science and a B.S. in Management Information Systems from Tsinghua University. His research interests include applications of simulation optimization techniques, healthcare management, and public policy operations. His research publications have appeared in IIE Transactions, Production and Operations Management, OMEGA, JORS, Critical Care Medicine and other journals. His teaching philosophy centers on the translation of knowledge into practical skills that bridge the classroom and the real business environments. He teaches classes at the undergraduate and MBA levels, including operations management and business statistics. He received the Susan E. Heckler Research Excellence Award in 2015, which recognizes outstanding faculty achievement in research in UST, and 2nd place in the INFORMS SPPSN best paper competition in 2011. His research in voting operations has received media coverage and he provided expert testimony in voting rights law suits.
Muer Yang, Assistant Professor, University of St. Thomas (UST): The ICU will see you now: efficient–equitable admission control policies for a surgical ICU with batch arrivals
【Speaker】Muer Yang, Assistant Professor, University of St. Thomas (UST)
【Title】The ICU will see you now: efficient–equitable admission control policies for a surgical ICU with batch arrivals
【Time】Monday, June 29, 14.00-16.00
【Venue】Room 453, Weilun Building, Tsinghua SEM
【Abstract】Intensive Care Units (ICUs) are frequently the bottleneck in a hospital system, limiting patient flow and negatively impacting profits. We examine admission control policies for a surgical ICU where patients arrive in batches. This problem is formulated as a Markov Decision Process (MDP) with an objective function that allows for varying degrees of emphasis on efficiency versus equity. Equity concerns are driven by a combination of surgery type and operating surgeon and are captured in a robust manner in the proposed models. A simple and efficient heuristic solution method related to our MDP formulation is proposed that provides a performance guarantee. The proposed admissions policy is applied to a real setting motivated by the cardiothoracic surgical ICU at Mount Sinai Medical Center in New York; the results demonstrate that the ICU can achieve large equity gains with no efficiency losses.
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