Multimodal transportation via TSR for effective Northern logistics

Ai Planning for Transportation Logistics

In the last decade the efficiency of the Artificial Intelligence Planning Systems has been increased significantly. New systems appeared that are able to cope with planning problems being orders of magnitude more complex than the ones solvable in early 90's. This vast improvement increase was made possible mainly by three new approaches in plan generation: planning graphs, satisfiability planni...

Transportation delays in reverse logistics

In this paper we extend and apply MRP theory towards reverse logistics including the considerations of transportation consequences. Our aim is to demonstrate the versatility obtained from using MRP theory when combining Input–Output Analysis and Laplace transforms. This enables an analysis of a supply chain including four sub-systems, namely manufacturing, distribution, consumption and reverse ...

Freight Transportation Planning and Logistics

A well-functioning freight transportation system is an essential element in any successful economy. However, at the beginning of the new millennium, the prediction is that the demand for goods movement will outstrip the rate of improvements to the physical infrastructure. Marked growth in time-sensitive freight markets will tax demands on a system that already is operating near capacity in some...

INFORMS Transportation and Logistics Society

Multimodal Transportation Systems

We present a case study of a multimodal routing system that takes into account both dynamic and stochastic travel time information. A multimodal network model is presented that makes it possible to model the travel time information of each transportation mode differently. This travel time information can either be static or dynamic, or either deterministic or stochastic. Next to this, a Dijkstr...