Modelling and solving a berth allocation problem in an automotive transshipment terminal

Dkhil, Hamdi; Diarrassouba, Ibrahima; Benmansour, S.; Yassine, Adnan

doi:10.1080/01605682.2019.1685361

Cited by 12 publications

(2 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The study in [26] addresses the problem of berth allocation in automotive terminals. Car flow constraints were formulated in terms of traffic fluidity and collision risk in an integer linear model.…”

Section: Related Workmentioning

confidence: 99%

A Comprehensive Modeling of the Discrete and Dynamic Problem of Berth Allocation in Maritime Terminals

Mnasri

Alrashidi

2021

Electronics

View full text Add to dashboard Cite

In this study, the discrete and dynamic problem of berth allocation in maritime terminals, is investigated. The suggested resolution method relies on a paradigm of optimization with two techniques: heuristic and multi-agent. Indeed, a set of techniques such as the protocol of negotiation named contract net, the multi-agent interactions, and Worst-Fit arrangement technique, are involved. The main objective of the study is to propose a solution for attributing m parallel machines to a set of activities. The contribution of the study is to provide a detailed modeling of the discrete and dynamic berth allocation problem by establishing the corresponding models using a multi-agent methodology. A set of numerical experiments are detailed to prove the performance of the introduced multi-agent strategy compared with genetic algorithm and tabu search.

show abstract

Section: Related Workmentioning

confidence: 99%

A Comprehensive Modeling of the Discrete and Dynamic Problem of Berth Allocation in Maritime Terminals

Mnasri

Alrashidi

2021

Electronics

View full text Add to dashboard Cite

show abstract

“…In contrast, roll-on/roll-off (RORO) terminals are still heavily dependent on human resources because drivers have to move vehicles one by one. Furthermore, vehicles in the terminal cannot be stacked, so workers are under pressure to complete tasks quickly in the given time [6]. is had led to human errors and safety issues [7,8].…”

Section: Introductionmentioning

confidence: 99%

Automatic Guided Vehicles Introduction Impacts to Roll-On/Roll-Off Terminals: Simulation and Cost Model Analysis

Park

Hwang

Yun

et al. 2022

Journal of Advanced Transportation

View full text Add to dashboard Cite

Automatic guided vehicles (AGVs) have been successfully applied to cargo terminals to reduce operating costs and improve productivity. However, the focus was on container terminal operations. Ports with roll-on/roll-off (RORO) terminals still heavily depend on human resources for the loading/unloading processes. Work operations are affected by human errors and safety issues. In particular, terminals where vehicles cannot be stacked pressure workers to handle cargo more rapidly, which induces more errors. In this study, we propose automating RORO terminal operations by using AGVs. We assessed the impact of AGVs on the productivity, cost efficiency, and environment. A series of simulation models was developed on the basis of the current loading system at an actual port to test the impact of AGVs. Then, we developed a cost model to analyze the economic benefit of AGVs compared with the current loading system. The environmental benefits were also analyzed. Results revealed that a system using 29 AGVs matched the productivity of the current loading system, and using more AGVs increased the productivity. For a given productivity level, the total operating cost of the AGV system was three times less than that of the current system over a 15-year period. The AGV system also showed great potential for improving the environmental friendliness of terminal operations. This is the first study to propose automating RORO terminal operations to improve productivity and sustainability through AGV technology rather than human factors. AGVs are expected to become a good option in the future to address labor shortages and the “untact” era.

show abstract

Berth template management for the container port of waterway-waterway transit

Tan,

He,

Wang

et al. 2023

Advanced Engineering Informatics

View full text Add to dashboard Cite

Modelling and solving a berth allocation problem in an automotive transshipment terminal

Cited by 12 publications

References 30 publications

A Comprehensive Modeling of the Discrete and Dynamic Problem of Berth Allocation in Maritime Terminals

A Comprehensive Modeling of the Discrete and Dynamic Problem of Berth Allocation in Maritime Terminals

Automatic Guided Vehicles Introduction Impacts to Roll-On/Roll-Off Terminals: Simulation and Cost Model Analysis

Berth template management for the container port of waterway-waterway transit

Contact Info

Product

Resources

About