Minimizing the knowledge requirements in a package sorting environment

This research attempted to solve the human factors problem of minimizing the knowledge requirements in a package sorting environment by using operations research techniques. An integer programming model was developed to minimize the knowledge requirements for a package sorter by comparing and assigning 50 individual loads to 6 different outbound areas. The results of the model reduced the knowledge requirements significantly, and the effect of less knowledge requirements on the package sorter's mental workload was also considered.

It was concluded that the integer programming model was an effective tool in minimizing the knowledge requirements for a package sorter. The benefits of the model were presented, and future applications in larger facilities were recommended.