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CELDi. Center for Engineering Logistics & Distribution. Louisville Research Overview: Center for Engineering Logistics and Distribution (CELDi). Logistics Initiatives at the University of Louisville. Optimization, Simulation Information Technologies, Engineering Bias. CELDi (Ind. Eng.).
Center for Engineering Logistics & Distribution
For Matching Funds
MS Logistics Engineering
U of L
Varied Research in
Increased Resource Base
ACBL headquarters, Ford assembly plants.
Center for Engineering Logistics & DistributionCELDi Organization
University of Arkansas
Intelligent Systems /
/ Field Service Logistics
University of Oklahoma
Material Handling / Shop Floor Logistics / Fleet Supportability
& Distribution / Reverse Logistics Systems
Systems / Fleet
Distribution, Transportation, & Reliability Modeling and Analysis
University of Louisville
American Commercial Barge Line LLC
Researchers: G. Don Taylor, Gail W. DePuy & D.J. Drossos
Problem Definition: Planning for optimal usage of a boat fleet is a daunting task. Building barge tows with common destinations minimizes downstream handling but adds to barge dwell time. On the other hand, minimizing dwell time leads to excessive downstream handling. Concurrently, it is necessary to utilize company-owned boats whenever possible to reduce sub-contract costs.
Objective: Provide an easily solved model to assist in optimizing the assignment of barges to boats on the Ohio River to minimize total handling and dwell costs.
based evaluation system
Reduce the cost of making fleet assignments
while better utilizing fleet boats and better
serving customer needs
United States Postal Service
Researchers: G. Don Taylor, John S. Usher, and Jamie Little
Problem Definition: Postal automation programs, in terms of sortation and material handling systems, have been so successful that flat mail preparation areas cannot keep pace. The current methods of preparing flat mail for induction to automated systems is very labor intensive.
Objective: To examine the possible alternative flat mail preparation systems, both procedural and physical, that would reduce the costs associated with present, labor intensive mail preparation systems.
Reduce the cost associated with preparing
flat mail for automated systems without
violating basic system constraints
Naval Surface Warfare Center, Crane, Indiana
Researchers:Gail W. DePuy John S. Usher, Julie Raisor, Jonathan
Gagel, and Jason Embry
Problem Definition: NSWC-Crane refurbishes many different types of mechanical and electrical devices used in military ships and aircraft. Crane receives inoperable units and attempts to salvage the repairable components so that good units can be produced. Unfortunately, it is difficult to know how many good or repairable components will arrive within the carcasses. This in turn makes it difficult to accurately predict production requirements needed to meet demand.
Objective: To develop an automated tool to be used to predict Crane’s ability to meet future demand and red flag those periods where demand may not be met. This tool predicts potential supply deficiencies far enough in advance to allow management intervention and correction.
Predicts potential supply deficiencies far
enough in advance to allow management
intervention and correction.
Researcher: Darren M. Scott, Ph.D.
Problem Definition: The Urban Transportation Modeling System (UTMS) is the most commonly used model for forecasting travel demand in urban areas. However, there is much concern about its ability to meet the challenges of contemporary and future transportation planning.
Objective: To develop one module of an activity-based forecasting model to remedy the deficiencies of UTMS.