@profile.fullname

Emmett Lodree

Associate Professor of Operations Management

Information Systems, Statistics and Management Science

Phone: 205-348-9851
Email: ejlodree@culverhouse.ua.edu

Focus and Current Research

Inventory management, supply chain disruption management, humanitarian relief logistics, decision-making under uncertainty

Education

University of New Orleans (B.S. and M.S.), University of Missouri (M.S. and Ph.D.)

Honors Achievements & Affiliations

Dr. Emmett Lodree's research appears in scholarly periodicals such as European Journal of Operational Research, Journal of the Operational Research Society, Computers and Operations Research, and International Journal of Production Economics. His research has also been sponsored by various agencies including the National Science Foundation, the Alabama Cooperative Extension System, and the Army Research Laboratory. He has given over 20 research presentations by invitation at conferences and as guest lecturer at several universities, most notably a humanitarian logistics conference held in Bellagio, Italy and sponsored by the Rockefellar Foundation as well as the 13th Annual Conference for African American Researchers in the Mathematical Sciences (CAARMS) sponsored by the National Security Agency, Princeton University, and others. Dr. Lodree is a member of INFORMS and serves the operations research / management science profession on a regular basis by organizing presentation sessions for professional conferences and reviewing manuscripts for a variety of scholarly journals.

Selected Publications

Lodree, E.J. and Taskin, S. (2009). Supply chain planning for hurricane response with wind-speed information updates. Computers and Operations Research: Special Issue on Disaster Recovery Planning 36. 2-16.

Lodree, E.J. and Taskin, S. (2008). An insurance risk management framework for disaster relief and supply chain disruption inventory planning. Journal of the Operational Research Society 59(5), 674-684.

Lodree, E.J. (2007). Advanced supply chain planning with mixtures of backorders, lost sales, and lost contract. European Journal of Operational Research, 181, 168-183.