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Wuqin Lin
Wuqin Lin

MANAGERIAL ECONOMICS & DECISION SCIENCES; OPERATIONS
Assistant Professor of Managerial Economics and Decision Sciences

Print Overview
Wuqin Lin joined Managerial Economics and Decision Sciences in 2005, after receiving his PhD in Industrial Engineering from Georgia Tech. His research interests include performance analysis, optimal control, and capacity management of queuing and stochastic processing networks that arise in manufacturing, service, and information systems. His current work is on queuing models of hospital emergency departments, with a focus on the main causes of emergency department overcrowding, as well as capacity planning of emergency departments.

Areas of Expertise
Optimization
Queuing Systems
Print Vita
Education
PhD, 2005, Industrial and Systems Engineering, Georgia Institute of Technology
MPhil, 2001, Engineering Management, Industrial Engineering, Hong Kong University of Science and Technology
BS, 1998, Electronic Communication, Shanghai Jiao Tong University, China

Academic Positions
Assistant Professor of Managerial Economics and Decision Sciences, Kellogg School of Management, Northwestern University, 2006-present
Donald P. Jacobs Scholar in Managerial Economics and Decision Sciences, Kellogg School of Management, Northwestern University, 2005-2006

 
Print Research
Research Interests
Stochastic process, applied probability, optimization, stochastic processing networks, logistics and supply chain management

Articles
Dai, Jim and Wuqin Lin. 2009. Asymptotic Optimality of Maximum Pressure Policies in Stochastic Processing Networks. Annals of Applied Probability. 18: 2239-2299.
Ata, Baris and Wuqin Lin. 2008. Heavy Traffic Analysis of Maximum Pressure Policies for Stochastic Processing Networks with Multiple Bottlenecks. Queueing Systems: Theory and Applications. 59: 191-235.
Dai, Jim and Wuqin Lin. 2005. Maximum Pressure Policies in Stochastic Processing Networks. Operations Research. 53(2): 197-218.
Lin, Wuqin, Zhen Liu and Li Zhang. 2005. Optimal capacity allocation for web systems with end-to-end delay guarantees. Performance Evaluation. 62: 400-416.
Cheung, Raymond, Chung-Lun Li and Wuqin Lin. 2002. Interblock Crane Deployment in Container Terminals. Transportation Science. 36(1): 79-93.

 
Print Teaching
Teaching Interests
Stochastics, operations management
Doctoral
Stochasitc Calculus and Control w/ Applications (MECS-463-0)
Stochasitc Calculus and Control w/ Applications

Stochastic Calculus and Control With Applications (OPNS-463-0)
Stochastic Calculus and Control With Applications

Full-Time / Part-Time MBA
Operations Management (OPNS-430-0)

This course counts toward the following majors:Operations.

Operations management is the management of business processes--that is, the management of the recurring activities of a firm. This course aims to familiarize students with the problems and issues confronting operations managers, and to provide the language, concepts, insights and tools to deal with these issues to gain competitive advantage through operations. We examine how different business strategies require different business processes and how different operational capabilities allow and support different strategies to gain competitive advantage. A process view of operations is used to analyze different key operational dimensions such as capacity management, cycle time management, supply chain and logistics management, and quality management. Finally, we connect to recent developments such as lean or world-class manufacturing, just-in-time operations, time-based competition and business re-engineering. Prerequisite: DECS-433 or DECS-436.