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车辆与运载学院298期学术沙龙-Generalizability of Autonomous Vehicles
针织技术创新及工程应用
纺织科技发展前沿
关于艺术赋能乡村振兴多样性的思考——以阿尔山乡村艺术季及安吉青年艺术创作营为例
报告题目:
Optimal resource allocation in multi-site service systems with inter-site customer flows
 报告人:
Xiuli Chao
Professor of Industrial and Operations Engineering at
The University of Michigan at Ann Arbor
报告时间:
2008-05-09 10:00
报告地点:
FIT楼1-312
主办单位:
计算机系
  简介:
We study the resource allocation problem in multisite service
 systems with intersite customer flows. We aim at providing insights
 to and guidelines for resource allocation in these service systems
 when some service criterion, such as average waiting time, loss
 rate, or blocking probability, is a major concern. We develop
 analytical optimization models and from them we obtain the explicit
 optimal allocation policy. Our results demonstrate that the optimal
resource allocation solution exhibits a structure of "one large and
 many small." This is a joint work with L. Liu and S. Zheng.
 
Brief Bio:
 
Xiuli Chao is Professor of Industrial and Operations Engineering at
 The University of Michigan at Ann Arbor. His research interests
 include queueing, scheduling, financial engineering, inventory
 control, and supply chain management. He is the co-developer of
 Lekin Scheduling System, and the co-author of two books, "Operations
 Scheduling with Applications in Manufacturing and Services"
 (McGraw-Hill, 1998), and "Queueing Networks: Customers, Signals, and
 Product Form Solutions" (John Wiley & Sons, 1999). Xiuli Chao
received the 1998 Erlang Prize from the Applied Probability Society
 of INFORMS, and the 2005 David F. Baker Distinguished Research Award
 from Institute of Industrial Engineers (IIE). He is, or has been,
 the associate editor/department editor for Operations Research,
 Queueinng Systems (QUESTA), IIE Trasactions, Naval Research
 Logistics, Operations Research Letters, Probability in the
 Engineering and Informational Sciences, among others.
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