Methodological Problems of Modern Transportation Logistics

Solving Logistics and Transportation Problems in a Job Shop

A discrete event simulation model was developed to study the flow of material and product in a shop floor. It uses real time data available from a job shop sole dedicated to noncommercial contracts and as such deals with very seasonal demand. The objective of this model is to provide the shop with a decision support tool that will assist in evaluating the movement of products throughout the sho...

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

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...