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Saurabh Bansal
Professor of Supply Chain Management
Department Supply Chain & Information Systems
Office Address 405 Business Building
Phone Number
814-863-3797
Email Address
sub32@psu.edu
Saurabh Bansal
Professor of Supply Chain Management
Department Supply Chain & Information Systems
Office Address 405 Business Building
Phone Number
814-863-3797
Email Address
sub32@psu.edu
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.
Expertise
Decision Making Under Risk and Uncertainty.
Education
Ph D, Risk Analysis and Decision Making, The University of Texas at Austin, 2010
B. Tech, Industrial Engineering, Indian Institute of Technology, 2002
Courses Taught
SCIS 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. A specific title may be used in each instance and will be entered on the student's transcript.
SCM 494H – Research Project (Variable)
Supervised student activities on research projects identified on an individual or small-group basis.
BA 596 – Individual Studies (1)
BA 810 – SC Operations Mgmt (2)
Integration and application of decision making to operational and policy problems within the business firm.
SCM 570 – Supply Chn Modelng (2)
Explore current modeling methods and software for design, analysis, execution and integration of supply chains.
SCM 496 – Indep Studies (Variable)
Creative projects, including research and design, that are supervised on an individual basis and that fall outside the scope of formal courses.
SCM 596 – Individual Studies (4)
Creative projects, including nonthesis research, that are supervised on an individual basis and which fall outside the scope of formal courses.
SCM 530 – Meth Scm (3)
Methods and tools to support supply chain decision making with emphasis on forecasting, inventory analysis, and demand planning.
SCM 421 – Supply Chain Analytics (3)
Models and Methodologies for supply chain analysis.
SCM 421H – Supply Chain Analytics (3)
Models and Methodologies for supply chain analysis.
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
Research Impact and Media Mentions
Editorships
Special Issue on data-driven portfolio optimization.
Printed volume also hosted on INFORMS website.