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We address the problem of developing a model to simulate at a high level of detail the movements of over 6,000 drivers for Schneider National, the largest truckload motor carrier in the United States. The goal of the model is not to obtain a better solution but rather to closely match a number of operational statistics. In addition to the need to capture a(More)
Schneider National needed a model that would capture the dynamics of their fleet of over 6,000 long-haul drivers so that they could determine where they should hire new drivers, estimate the impact of changes in work rules, find the best way to manage Canadian drivers, and experiment with new ways to get drivers home. To have confidence in the numbers, they(More)
The Local Pickup and Delivery Problem (LPDP) has drawn much attention during recent years. In the literature, optimization models and algorithms have been developed to address this problem. However, for some real world applications, the large-scale and dynamic nature of the problem causes some difficulties in getting good solutions within an acceptable time(More)
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