Modelling and solution approaches to the multi-load AGV dispatching problem in container terminals

2011 ◽  
Vol 13 (4) ◽  
pp. 371-386 ◽  
Author(s):  
Evelina Klerides ◽  
Eleni Hadjiconstantinou
Keyword(s):  
Container Terminals ◽  
Agv Dispatching

scholarly journals An Improved Shuffled Frog Leaping Algorithm for Multiload AGV Dispatching in Automated Container Terminals

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Xiaoyang Ma ◽  
Yongming Bian ◽  
Fei Gao
Keyword(s):  
Mathematical Model ◽  
Container Terminals ◽  
Operating Efficiency ◽  
Container Transportation ◽  
Shuffled Frog Leaping Algorithm ◽  
Exploration Process ◽  
Single Carrier ◽  
Agv Dispatching ◽  
Shuffled Frog Leaping ◽  
Improved Model

Multiload AGVs, which can carry more than one container at a time, are widely used in automated container terminals. The dispatching decisions for multiload AGVs serving in automated container terminals on the target of minimum travel distance are significant in the process of container transportation in terms of improving operating efficiency. Previous work usually focused on AGVs working in a single-carrier mode, which was not only inconsistent with actual circumstances but also a waste of resources. In this paper, we establish a new mathematical model to describe multiload AGVs operating in automated container terminals, which is closer to the actual situation in real terminals. Based on this improved model, we propose a priority rule-based algorithm, termed as shuffled frog leaping algorithm with a mutant process (SFLAMUT), which can increase the diversity of the population and improve the convergence rate. Experiments were carried out based on data generated randomly according to the working properties of container terminals, and it is observed that the proposed SFLAMUT presents an effective and efficient exploration process and yields promising results in solving the proposed mathematical model.

Service Quality Evaluation of Container Terminals through AHM and Membership Degree Transformation

2019 ◽  
Vol 18 ◽  
pp. 155-164
Author(s):  
S. Hemalatha ◽  
Lingaraju Dumpala ◽  
B. Balakrishna
Keyword(s):  
Service Quality ◽  
Quality Evaluation ◽  
Container Terminals ◽  
Membership Degree ◽  
Service Quality Evaluation

scholarly journals Reshuffle minimisation to improve storage yard operations efficiency

2021 ◽  
Vol 15 ◽  
pp. 174830262199401
Author(s):  
Hammed Bisira ◽  
Abdellah Salhi
Keyword(s):  
Integer Programming ◽  
Programming Model ◽  
Heuristic Approach ◽  
Container Terminals ◽  
Exact Method ◽  
Computational Results ◽  
Binary Integer Programming ◽  
Integer Programming Model ◽  
Compatibility Test ◽  
Storage Area

There are many ways to measure the efficiency of the storage area management in container terminals. These include minimising the need for container reshuffle especially at the yard level. In this paper, we consider the container reshuffle problem for stacking and retrieving containers. The problem was represented as a binary integer programming model and solved exactly. However, the exact method was not able to return results for large instances. We therefore considered a heuristic approach. A number of heuristics were implemented and compared on static and dynamic reshuffle problems including four new heuristics introduced here. Since heuristics are known to be instance dependent, we proposed a compatibility test to evaluate how well they work when combined to solve a reshuffle problem. Computational results of our methods on realistic instances are reported to be competitive and satisfactory.

scholarly journals A two-stage parallel network DEA model for analyzing the operational capability of container terminals

2020 ◽  
pp. 1-22
Author(s):  
Jaehun Park ◽  
Byung Kwon Lee ◽  
Joyce M.W. Low
Keyword(s):  
Container Terminals ◽  
Two Stage ◽  
Network Dea ◽  
Operational Capability ◽  
Dea Model ◽  
Parallel Network

Container port throughput analysis and active management using control theory

2021 ◽  
pp. 147509022110208
Author(s):  
Cuong Truong Ngoc ◽  
Xiao Xu ◽  
Hwan-Seong Kim ◽  
Duy Anh Nguyen ◽  
Sam-Sang You
Keyword(s):  
Control Theory ◽  
Time Series Data ◽  
Sliding Mode ◽  
Container Terminal ◽  
Three Dimensional ◽  
Maritime Transportation ◽  
Container Terminals ◽  
Active Management ◽  
Dynamical Analysis ◽  
Series Data

This paper deals with three-dimensional (3D) model of competitive Lotka-Volterra equation to investigate nonlinear dynamics and control strategy of container terminal throughput and capacity. Dynamical behaviors are intensely explored by using eigenvalue evaluation, bifurcation analysis, and time-series data. The dynamical analysis is to show the stability with bifurcation of the competition and collaboration of multiple container terminals in the maritime transportation. Based on the chaotic analysis, the sliding mode control theory has been utilized for optimization of port operations under disruptions. Extensive numerical simulations have been conducted to validate the efficacy and reliability of the presented control algorithms. Particularly, the closed-loop system has been assessed through chaotic suppression and synchronization strategies for port management. Finally, the presented fundamental techniques can be utilized to provide managerial insights and solutions on efficient seaport operations that allow more timely and cost-effective decision making for port authorities in such a highly competitive environment.

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