Dalila Boudebous

Optimization-Simulation for Maritime Containers Transfer

This paper proposes a simulation model to analyze the handling and the transfer system of containers in Le Havre seaport. The decision variables of simulation are determined by using the CPLEX optimization software. The goal is to determine the least expensive strategy for the transfer of a set of containers between container terminals. The simulation model is developed using an object-oriented approach and Flexsim CT simulation software. The objective is to obtain an efficient operating process for the multimodal terminal of Le Havre which is an intermediate platform for transferring containers (collection and delivery) by rail and river (trains and barges). The goal is to evaluate the performance of the containers transfer by rail shuttles between the future multimodal terminal and the maritime terminals. The aim is to analyze and to evaluate performance indicators of port logistics chain (costs, resource occupancy rate, service rate), and to test several management strategies.

A Multi-Agent Based Simulation Model for Rail–Rail Transshipment: An Engineering Approach for Gantry Crane Scheduling

Le Havre Port Authority is putting into service a multimodal hub terminal with massified hinterland links (trains and barges) in order to restrict the intensive use of roads, to achieve a more attractive massification share of hinterland transportation and to provide a river connection to its maritime terminals that do not currently have one. This paper focuses on the rail–rail transshipment yard of this new terminal. In the current organizational policy, this yard is divided into two equal operating areas, and, in each one, a crane is placed, and it is equipped with reach stackers to enable container moves across both operating areas. However, this policy causes poor scheduling of crane moves, because it gives rise to many crane interference situations. For the sake of minimizing the occurrence of these undesirable situations, this paper proposes a multi-agent simulation model including an improved strategy for crane scheduling. This strategy is inspired by the ant colony approach and it is governed by a new configuration for the rail yard’s working area that eliminates the use of reach stackers. The proposed simulation model is based on two planner agents, to each of which a time-horizon planning is assigned. The simulation results show that the model developed here is very successful in significantly reducing unproductive times and moves (undesirable situations), and it outperforms other existing simulation models based on the current organizational policy.

Gestion du transfert interne de conteneurs : le cas du port du Havre

RÉSUMÉ L’objectif principal de cette étude est de déterminer et d’évaluer les indicateurs de performance du transfert de conteneurs par navettes ferroviaires entre le futur terminal multimodal et les terminaux maritimes du port du Havre. Différents modes de transfert ont été comparés par rapport à la minimisation des retards, des coûts et des émissions de CO2. En se fondant sur la méthode ECOGRAI, nous avons proposé une démarche ECOGRAISIM ; les variables de décision et les indicateurs de performance sont déterminés à l’aide de la méthode ECOGRAI et sont évalués par simulation.

Production, supply, and traffic systems: A unified modelling using Petri Nets

The modelling of production, supply, and distribution systems or quite simply supply chain constitutes an object of search always for topicality, because of its great complexity due mainly to the mutual interaction of multi-natural phenomena and are subject to numerous constraints and requirements. This multi-fields character returns the analysis of these systems often to realize according to each discipline in an isolated way, thus masking the interactions between the fields and complexes the total analysis of this supply chain. From where the idea to introduce new approaches particularly conceived to model all fields according to a whole coherent and unified, and brings legibility in term of interactions analysis, which gives a clearer global vision of chain. It is in this context that we propose to apply the Petri Net in the supply chain while we extended the Petri Net traffic model to study the dynamic behavior of physical flow on supply chain. We have transposed the concepts developed for the traffic to the supply chain.

Allocation of Static and Dynamic Wireless Power Transmitters Within the Port of Le Havre

The port of Le Havre, “Grand Port Maritime du Havre (GPMH)”, is the first port in France and the fifth in the Europe’s top port list in terms of container volume. This massification in container traffic has generated a large use of trucks that are a source of diesel pollution. To address the greenhouse gas emissions related to port’s last mile logistic, a collaborative relationships are established between different parties of the port. This collaboration aims to create projects that can improve the air quality such as replacing conventional trucks by electric ones. In this context, our study aims to propose a strategic allocation of the infrastructure of charge for electric trucks. To this end, we adapt the technology Wireless Power Transfer that permit to an electric truck to charge its battery statically in a set of fixed nodes (breakpoints) or dynamically in a set of segments of the route during the electric trucks mobility. To model this problem, we propose an integer non-linear programming formulation. Afterward, we investigate the effectiveness of the population based algorithm particle swarm optimization to determine the efficient allocation.