The doctoral program in Supply Chain Management aims to develop expertise in Supply Chain Management, including Service Supply Chains, using stochastic modeling or empirical research methods. In addition to courses in the School of Management, a doctoral student will take courses for the first two/three years in the SSIE, Mathematical Sciences, and Economics departments to develop a strong methodological foundation for research and teaching in Operations Management and Supply Chain Management. Subsequently students will work on their research in close proximity with the faculty.
The strength of the School of Management's doctoral program comes from its small size. Students enjoy the personal attention from the concerned faculty members, which is instrumental in their professional development. The operations faculty members have research interests in supply chain management, outsourcing, and service operations. They have published in leading journals such as Operations Research, Management Science, Production and Operations Management, Decision Sciences, Naval Research Logistics, European Journal of Operational Research, IIE Transactions, Interfaces, and Journal of the Operational Research Society. Students joining the doctoral program may also benefit from an ongoing collaborative effort between the School of Management and the SSIE department to establish a center of excellence in research and teaching in global supply chain management.
Coordinator of Supply Chain Management: Prof. Sal Agnihothri at firstname.lastname@example.org.
SAL AGNIHOTHRI, Ph.D., University of Rochester; Professor;
Research interests: Management of field service and operations, management of service operations, process flexibility and cross-training decisions in manufacturing and services, role of services in B2B industrial market, e-service, scheduling in hospitals.
ANSHUMAN CHUTANI, Ph.D., University of Texas at Dallas; Visiting Assistant Professor;
Research interests: Operations management, supply chain management, inventory control, probability and statistics, quantitative methods.
Last Updated: 12/13/12