apsupport

Sponsor: CELDi Research Team: Gerald W. Evans Universities Involved: University of Louisville Start Date: 08/01/07 End Date: 07/31/08 Summary: A major problem encountered in many reverse logistics systems involves the acquisition, training (and timely scheduling of that training) of workforce personnel. These activities must be accomplished in an environment involving […]

Sponsor: National Science Foundation Research Team: Justin R. Chimka Universities Involved: University of Arkansas Start Date: 08/01/07 End Date: 12/31/08 Summary: Increasing the understanding of Automated Identification (Auto-ID) technology in supply chain, logistics, material handling, production planning and automated manufacturing.

The objective of this project is to develop a method for matching workers to tasks based on skills/requirements profile, develop heuristic to determine which workers should be trained in which skills to minimize the overall training cost, and develop customer solution software