Weiwei Chen

Dr. Chen’s research interest lies in operations and finance interface, as well as supply chain operations planning and scheduling. He also works on simulation and randomized global optimization methodologies. He has extensive experience working with businesses and public sectors, especially in energy and healthcare, to improve strategic decisions and operational efficiencies using data analytics. His work has appeared in Operations Research, Manufacturing & Service Operations Management, Interfaces, Automatica, IEEE Transactions on Automatic Control, IEEE Transactions on Smart Grid, etc. Dr. Chen received his Ph.D. degree from University of Wisconsin-Madison, and the M.S. and B.S. degree from Tsinghua University, Beijing, China. Prior to joining Rutgers Business School, he was a Scientist at GE Global Research, NY, solving various problems from GE Energy, GE Aviation, Lockheed Martin and electric utility companies.

Education

• Ph.D. University of Wisconsin-Madison (2006 — 2010)
• M.S. University of Wisconsin-Madison (2006 — 2007)
• M.S. Tsinghua University (2003 — 2006)
• B.S. Tsinghua University (1999 — 2003)

Publications

Recent Publications

• W. Chen, B. Melamed, O. Sokolinskiy and B. Sopranzetti. Cash Conversion Systems in Corporate Subsidiaries, Manufacturing & Service Operations Management, 19(4): 604–619, 2017.
• R. Tyagi, W. Chen, J. Black, P. Tiwari, B. Lecours and J. Shaver. Transforming Electrical Load from an Operational Constraint to a Controllable Resource, Interfaces, 47(4): 292–304, 2017.
• S. Gao, W. Chen and L. Shi. A New Budget Allocation Framework for the Expected Opportunity Cost, Operations Research, 65(3): 787–803, 2017.
• W. Chen. Sensitivity-based Nested Partitions for Solving Markov Decision Processes, Operations Research Letters, 45(5): 481–487, 2017.
• S. Gao and W. Chen. A Partition-based Random Search for Stochastic Constrained Optimization via Simulation, IEEE Transactions on Automatic Control, 62(2): 740–752, 2017.
• W. Chen, L. Lei, Z. Wang, M. Teng and J. Liu. Coordinating Supplier Selection and Project Scheduling in Resource-Constrained Construction Supply Chains, International Journal of Production Research, forthcoming.