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The main objective of this project is to enhance the effectiveness of workforce forecast and deployment through innovative approaches of artificial intelligence. The research included a final document of conventional and innovative methods of workforce forecasting and a decision support software program incorporating advanced artificial intelligence techniques for workforce forecasting.

This paper reviews research performed at the University of Oklahoma Center for the Study of Wireless EMC, providing a summary of the results and discussion concerning the impact of the research on industry. In addition to a review of the research, we also discuss the management of risk of EMI in conjunction with these and other electronic devices, based on the results of our research.

Modern training methods call for active engagement of the trainees in the training process. Simulation games are among the most effective methods of training. As waste elimination concepts become more popular, numerous lean training packages have been developed. Most of these packages include simulation games as a hands-on training tool. So far, lean simulation games have largely focused on manufacturing. However, administrative or office processes also contain a great deal of waste and could benefit from a game aimed at their processes. This paper proposes a lean office simulation game to demonstrate the effect of lean implementation on office processes. The game uses four phases to simulate the impact of several lean tools. Various performance metrics are recorded during the game to capture the impact of these tools. A case study of the game played by administrative personnel is included along with an analysis of the results.