Based upon realtime location information of goods in this paper possible optimizations for cross-docking are evaluated. The use of agent-based decision support systems in order to identify the rescheduling alternatives with the highest business value are investigated.

We present an approximation method for the hybrid flow shop scheduling problem based on relaxation and machine learning techniques. Our model combines a suitable relaxation of the objective function to a continuous solution space with a self-supervised learning method for neural networks, which...