Freight transport is the output of an economic market, which converts commodity flows into vehicle flows. Interactions in this market influence vehicle flows and since freight market characteristics (product differentiation and economies of scale/scope) violate perfect competition conditions, the output of this market cannot be predicted directly, unless these interactions are represented in th...

The pick-up and delivery routing problem has received special attention thanks to its application urban freight distribution processes. However, due the multiple levels involved in those processes, modeling analyzing networks contexts are complex tasks. As a result, efficient robust solution methods should be proposed according dynamic uncertain conditions that characterize this type of problem...

Determining optimal routes for given freight is a core decision in logistics. In intermodal logistics, freight routing has to consider the interfaces between different modes of transportation, such as hand-over offsets, load changes, and organizational procedures. We study this problem from the perspective of Service-Oriented Computing (SOC). We (1) propose representing intermodal transport sys...

This paper presents a MIP model for a locomotive routing and scheduling problem from the domain of freight railways. Innovative features of the model include the use of binary variables to separate the integer and continuous parts of the problem to maintain the flow character of the integer part of the problem. The model has been developed with, and has found practical Green Cargo, the largest ...

Since the publication by Williamson (1968) of his seminal paper on antitrust there has been a growing recognition by regulators of the need to assess tradeoffs between merger-related efficiency gains and merger-induced increases in market power. This paper addresses that need by presenting a structural econometric model of recent mergers in the U.S. rail industry. The paper extends the structur...

In this work we present a large scale static, deterministic mixed inter linear programming model (MIP) solving an integrated location-routing problem (LRP) in the context of urban logistics services (ULS). We aim at determining a cost optimal infrastructure and fleet design for an urban consolidation and transportation network. The model is meant to quantitatively evaluate potential strategic m...