Saurabh Bansal

Color portrait of Saurabh Bansal

Associate Professor of Supply Chain Management

Department Supply Chain & Information Systems
Office Address 405 Business Building
Phone Number 814-863-3797
Email Address

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My research and teaching focus on three dimensions of supply chain and operations management:

a. Model and data driven understanding for how business managers perceive and estimate uncertainties,

b. Descriptive models for how they react to these uncertainties, and

c. Prescriptive optimization based models for how they should react to the uncertainties.

I collaborate with firms to develop new forecasting and optimization models to improve business performance.


Decision Making Under Risk and Uncertainty.


Ph D, Risk Analysis and Decision Making, University of Texas, 2010

B. Tech, Industrial Engineering, Indian Institute of Technology, 2002

Courses Taught

SCM 530 – Meth Scm (3)
Methods and tools to support supply chain decision making with emphasis on forecasting, inventory analysis, and demand planning.

SCM 570 – Supply Chn Modelng (2)
Explore current modeling methods and software for design, analysis, execution and integration of supply chains.

SCM 421 – Supply Chain Analytics (3)
Models and Methodologies for supply chain analysis.

SCM 494H – Research Project (3)
Supervised student activities on research projects identified on an individual or small-group basis.

SCM 421H – Supply Chain Analytics (3)
Models and Methodologies for supply chain analysis.

SCM 596 – Individual Studies (Variable)
Creative projects, including nonthesis research, that are supervised on an individual basis and which fall outside the scope of formal courses.

SC&IS 545 – Supply Chain Systems Simulation (3)
Application of computer simulation to analysis and design of supply chain and information systems design; simulation experiments in SC&IS research.

Selected Publications

Bansal S., Gutierrez G., "Estimating uncertainties using judgmental forecasts with expert-heterogeneity." Operations Research, 2020
Bansal S., Dyer J., "Managing customer-driven substitution in agribusiness." Operations Research, 2020
Mutha A., Bansal S., Guide V., "Selling Assortments of Used Products to Third-Party Remanufacturers." Production and Operations Management, 2019
Oprean D., Simpson M., Miller R., Keller K., Bansal S., Klippel A. K., "Human Interpretation of Trade-Off Diagrams in Multi-Objective Problems: Implications for Developing Interactive Decision Support Systems." HICSS, 2019, pp. 1-10
Bansal S., Rosokha Y., "Impact of compound and reduced risk specification on valuation of projects with multiple risks." Decision Analysis, vol. 15, no. 1, 2018, pp. 27-46
Bansal S., Dyer J., "Multivariate partial-expectation results for exact solutions of two-stage problems.." Operations Research, vol. 65, no. 6, 2017, pp. 1526-1534
Bansal S., Nagarajan M., "Product portfolio management with production flexibility in agribusiness.." Operations Research, vol. 65, no. 4, 2017, pp. 914-930
Bansal S., Gutierrez G., Keiser J., "Using experts’ noisy quantile judgments to quantify risks: theory and application to agribusiness." Operations Research, vol. 65, no. 5, 2017, pp. 1115-1130
Bansal S., Gutierrez G., Keiser J., "Quantifying uncertainties and risks using managerial judgments in a dynamic new product development environment." Production and Operations Management, vol. 25, 2016, pp. 2010-2013
Mutha A., Bansal S., Guide V., "Managing Demand Uncertainty through Core Acquisition in Remanufacturing." Production and Operations Management, vol. 25, no. 8, 2016, pp. 1449-1464
Bansal S., Moritz B. B., "Perceived Versus Actual Value of Operational Flexibility: An Experimental Investigation." Journal of Operations Management, vol. 38, 2015, pp. 56-70
Bansal S., Transchel S., "Managing Supply Risk of Vertically Differentiated Products." Production and Operations Management, vol. 23, 2014, pp. 1577-1598
Bansal S., Dyer J., "Updating Inventories of Substitutible Products with Forecasts Updates." Production and Operations Management, vol. 23, 2014, pp. 477-488

Research Impact and Media Mentions

"2019 Best & Brightest MBAs: Benedetta Piva, Penn State (Smeal)", Poets and Quants,
"Everyone's an expert, but a computer program may be able to pick the best ones", Assorted Media Websites, Web,


Informs Journal on Applied Analytics, Associate Editor, January 2020 - Present
Operations Research, Associate Editor, October 2019 - Present
The Engineering Economist, Co-Editor, April 2018 - Present
Special Issue on data-driven portfolio optimization.
Production and Operations Management, Associate Editor, March 2017 - Present
INFORMS Editor's Cut on Agribusiness, Co-Editor, February 2016 - Present
Printed volume also hosted on INFORMS website.