Queuing Theory





上午 8:00 - 11:45






Queuing Theory


Yuan Zhong

University of Chicago Booth School of Business

Yuan Zhong researches applied probability, as well as modeling and analysis of large-scale stochastic systems, with business and engineering applications. More recently his research interests have extended to applications in data centers and cloud computing. Zhong’s research has been published in several journals including Queueing Systems and The Annals of Applied Probability.

Prior to Booth, Zhong was an assistant professor at Columbia University in the Department of Industrial Engineering and Operations Research. At Columbia he taught courses in stochastic networks, simulation, and probability models. Before joining Columbia in 2013, Zhong spent one year as a Postdoctoral Scholar in the Computer Science Department at UC Berkeley.

Zhong received a PhD in operations research from MIT in2012, an MA in mathematics from Caltech in 2008, and a BA in mathematics from the University of Cambridge in 2006.


This core course focuses on understanding levers for structuring, managing, and improving a rm's recurring business processes to achieve competitive advantage in customer responsiveness, price, quality, and variety of products and services. These levers are as applicable to banks, hospitals, and brokerage firms, for example, as to traditional manufacturing. 

Processes within firms, as well as between firms, i.e. supply chains, are explored. The fundamental principles underlying state-of-the-art practices are explored so that students learn to critically evaluate these and other operational improvement programs.

Students learn the basics of how to manage the operations of a firm, and how operational issues affect and are affected by the many business decisions they will be called upon to make or recommend in their careers. As such, this course is essential to studen