Regularized Han-type Algorithms for Inconsistent Maritime Container Transportation Problems

Maritime container logistics and onshore transportation systems ( Part 2 )

The last decade has seen tremendous investments in new container ports, vessels, and linked onshore transportation systems. Due to the high level of customer service requested and the complexity of logistic processes in seaport container terminals, many terminal operators have attempted to improve the performance of their terminals by applying new technologies including automated equipment, adv...

Iterative Bregman Projections for Regularized Transportation Problems

This article details a general numerical framework to approximate solutions to linear programs related to optimal transport. The general idea is to introduce an entropic regularization of the initial linear program. This regularized problem corresponds to a Kullback-Leibler Bregman divergence projection of a vector (representing some initial joint distribution) on the polytope of constraints. W...

New Optimization Models and Algorithms for the Management of Maritime Container Terminals

Truck Arrival Management At Maritime Container Terminals

In this work the management of truck arrivals in a maritime terminal is investigated as possible strategy to be used for obtaining a reduction in congestion and gate queues. In particular, a non-mandatory Truck Appointment System (TAS) is considered. Inspired by the work of Zehedner and Feillet 2013, we propose a multi-commodity network flow model for representing a maritime terminal. We solve ...

Profit intensity criterion for transportation problems

In this study criterion of maximum profit intensity for transportation problems, in contrast to the known criteria of minimum expenses or minimum time for transportation, is considered. This criterion synthesizes financial and time factors and has real economic sense. According to the purpose of this paper, the algorithm of the solution of such a transportation problem is constructed. It is sho...