Weiwei Chen

Associate Professor and Director of Master of Supply Chain Analytics

Area of expertise

Supply Chain Management

848-445-9471 wchen@business.rutgers.edu Curriculum Vitae

Dr. Chen’s research interest lies in data analytics in service operations, supply chain optimization, as well as operations and finance interface. He also works on simulation and global optimization methodologies. He has extensive research and consulting experience with businesses and public sectors, aiming to improve strategic decisions and operational efficiencies using modeling and data analytics. His work has appeared in Operations Research, Manufacturing & Service Operations Management, Production and Operations Management, INFOMRS Journal on Computing, Transportation Science, Interfaces, IEEE Transactions on Automatic Control, etc. Prior to joining Rutgers, he worked at GE Global Research, NY, solving various problems from GE Energy, GE Aviation, Lockheed Martin and electric utility companies. He is an associate editor of INFORMS Journal on Applied Analytics, IEEE Transactions on Automation Science and Engineering, etc., and a guest editor of IISE Transactions, International Journal of Production Research, etc. He currently serves as the Chair of the INFORMS Service Science Section.

Academic degrees

Ph.D., University of Wisconsin-Madison; Industrial Engineering
M.S., Tsinghua University; Control Science and Engineering
B.S., Tsinghua University; Automation

Insights

Research aims to improve operational efficiencies at busy U.S. border crossings

Wednesday, January 03, 2018

Master of Science in Supply Chain Management ranked No. 6 in the nation

Monday, April 08, 2019

Faculty Snapshot: Supply chain expertise built on a zeal for problem-solving

Monday, October 16, 2017

Taking supply chain knowledge to the next level with analytics

Tuesday, July 11, 2017

Rutgers professor's research may hold key to less congested U.S. border crossings

Thursday, February 25, 2016

Media Mentions

Beijing Institute of Technology. 2019 Informs Service Science Conference Best Paper Award, Weiwei Chen

Sunday, July 14, 2019

Customs Broker News. 5 things operations managers must know about opportunity cost, Weiwei Chen

Wednesday, June 12, 2019

Publications

Selected Publications

For a complete list of publications, see Google Scholar.

W. Chen, S. Gao, W. Chen and J. Du (2022) Optimizing Resource Allocation in Service Systems via Simulation: A Bayesian Formulation. Production and Operations Management, forthcoming.
T. Wu, C. Zhang, W. Chen, Z. Liang and X. Zhang (2022) Unsupervised Learning-Driven Matheuristic for Production-Distribution Problems. Transportation Science, forthcoming.
J. Liu, W. Chen, J. Yang, H. Xiong, C. Chen (2022) Iterative Prediction-and-Optimization for E-logistics Distribution Network Design. INFORMS Journal on Computing, 34(2): 769–789.
I. Dmitry, B. Sokolov, W. Chen, A. Dolgui, F. Werner, S. Potryasaev (2021) A Control Approach to Scheduling Flexibly Configurable Jobs with Dynamic Structural-Logical Constraints. IISE Transactions, 53(1): 21–38. (Received the IISE Transactions 2022 Design & Manufacturing Best Paper Award)
W. Chen, B. Melamed, O. Sokolinskiy, B. Sopranzetti (2017) Cash Conversion Systems in Corporate Subsidiaries. Manufacturing & Service Operations Management, 19(4): 604–619.
S. Gao, W. Chen, L. Shi (2017) A New Budget Allocation Framework for the Expected Opportunity Cost. Operations Research, 65(3): 787–803.
R. Tyagi, W. Chen, J. Black, P. Tiwari, B. Lecours, J. Shaver (2017) Transforming Electrical Load from an Operational Constraint to a Controllable Resource. Interfaces, 47(4): 292–304.
S. Gao, W. Chen (2017) A Partition-based Random Search for Stochastic Constrained Optimization via Simulation. IEEE Transactions on Automatic Control, 62(2): 740–752.

Dissertations Supervised

Name: Jian, Zhe
Graduation Date: 2017/May
Thesis Title: Multimodal Freight Transportation Problem: Model, Algorithm and Environmental Impacts
(Co-Advised with Lei Lei)

Name: Wang, Zhengwei
Graduation Date: 2016/October
Thesis Title: Coordinated Supplier Selection and Project Scheduling in a Resource-Constrained Construction Supply Chains
(Co-Advised with Lei Lei)

Executive Education Programs

Mini-MBA: Artificial Intelligence

The Artificial Intelligence Mini-MBA is intended to (1) acquaint the leaders of a business enterprise on the general principles of automation (Robotic Process Automation and Artificial Intelligence), (2) apply the principles to address persistent business pain points, (3) augment the capability of technical and human resources, and/or (4) execute a change management/ transformation process.

In Class program: $4995.00

Next Class Date

Nov 01 - Dec 08, 2022

Learn More

Artifical Intelligence depicted by x-ray of human brain overlayed on data lines