Research Tool

Sponsor: Lockheed Martin Aircraft & Logistics Research Team: Kevin Taaffe Universities Involved: Clemson University Start Date: NA End Date: NA Summary: Investigation into Key Factors Contributing to Maintenance and Delivery Issues and develop a “Dashboard” of key metrics that Lockheed Martin management can use to make good decisions based on […]

The best warehouse design is dependent on how operations are organized, the shape of the facility, and the dock-door configuration, among other factors. We developed a decision-support tool to aid in determining the best warehouse design for a set of given data.

Many organizations use U-shaped picking modules to increase the productivity of warehouse workers. Analytical models can be useful in evaluating such picking modules (for example, is the picking module performing well or not). This project developed statistical models to compare picking modules with each other as well as general models to establish a productivity goal for Medline's operations.