The UofL N95 Decon Program collects used (potentially contaminated) N95 respirators from participating organizations and returns the same, now decontaminated, respirators back to the organizations. LoDI designed a tool to help determining the daily pick-up and delivery routes for the program.
This research takes aim at a universal but often overlooked source of waste in a warehouse —space between the top of a pallet and the rack above it. By using optimal slot profiling, warehouse managers can maximize space utilization, making room for more product within the same available space.
The primary goal of the EMS is to use scarce resources—physical and human—to save lives. Managing EMS resources effectively and efficiently is crucial to operations. In this study, we explore the solution to this problem using mathematical programs.
The LoDI index is a predictive indicators of the level of logistics and distribution activity for the upcoming month. As a predictive indicator, the LoDI index can help organizations related to the field of logistics and distribution in making educated decisions related to projects, expenditures, and other associated activities, ahead of the curve.
Due to limited resources, the Kentucky Humane Society (KHS) has a great need for an optimized methodology for allocating available animals to their adoption facilities. We developed an allocation model to improve the throughput rate of the animals to be adopted.
We study a drone delivery problem for providing essential medical supplies in an emergency situation.
We address the problem of finding an efficient patient-to-provider panel assignment in order to achieve workload balancing among providers within a network of PC practice groups, as well as to make strategic decisions for hiring new providers.