|
 Alok Baveja, Ph.D.
Associate Professor of Management
Ph.D., State University of New York at Buffalo
Expertise: Applied Operations Research;
Mathematical Modeling; Decision Aids for Managers
Courses frequently taught: Management Science;
Operations Management; Total Quality Management; Quality Assurance; Facilities
Planning; Production Planning and Control.
Dr. Baveja's research focuses on developing decision aids
for managers, policy makers and administrators in the service and manufacturing
industries. He has worked on projects involving illicit drugs, crime,
correctional education, location analysis and general management. Dr.
Baveja has co-authored articles in such journals as Mathematics of Operations
Research, Location Science, Computers and OR, Interfaces, Information Processing Letters,
California Management Review,
European Journal of Operations Research, IEEE
Transactions and Socio-Economic Planning Sciences. His work of illicit
drug policy has received national media recognition. Dr. Baveja serves as
ad hoc reviewer for over 15 top scholarly journals and conferences.
Currently he is working on a National Institute of Justice funded project of measuring
crime displacement in urban neighborhoods.
Dr. Baveja is the recipient of Provosts' Award for
Excellence in Teaching at Rutgers-Camden, School of Business' Teaching Award, and the Institute of Industrial
Engineers Award for "Professor of the Year".
In addition to teaching at Rutgers, Dr. Baveja does
volunteer mentoring for minority and inner city high school students. He
is the co-founder and active member of a Peace Corps style, not-for-profit
organization that provides technical assistance to help catalyze revitalization of
rural communities in developing countries.
|
Media Guide
Dr. Alok Baveja, associate professor of management at the
Rutgers School of Business—Camden. He can discuss:
|
+ Airline Industry:
+Information Technology/Knowledge Management:
- Technology and supply-chain dynamics
- Technology applied to fight inner-city crime
- Knowledge loss in product development processes
- Modeling and analysis of operations in private
and public enterprises
- Data-driven models for law enforcement
+Supply Chain Management:
- Technologies for enhancing supply chain
management
|
+Health Care Industry:
-
Quality control in health-care industries
-
Knowledge loss in product development
processes
-
Modeling and analysis of operations in
private and public enterprises
+ Manufacturing:
- Technology and supply-chain dynamics
- Knowledge loss in product development processes
- Modeling and analysis of operations in private
and public enterprises
+Terrorism:
- Applications of management and technology
against terrorism
- Data-driven models and technologies for port
security and efficiency
|
| |
|
|
|
