Container Port Logistics Research Articles

Collaborative Scheduling of Port Integrated Energy and Container Logistics Considering Electric and Hydrogen-Powered Transport

To improve energy efficiency and reduce pollution emissions of ports with electricity and hydrogen substitution, this paper proposes a collaborative scheduling method of port integrated energy and container logistics considering electric and hydrogen-powered transport. By analyzing the coupling relationship between energy production and consumption in a port that deploys electric and hydrogen-powered transport, the scheduling optimization models of the port integrated energy system (PIES) and the port container logistic system (PCLS) are collaboratively established and rendered as a mixed-integer bi-level programming model. Moreover, to simplify the complexity of PCLS scheduling which involves the allocation and operation of each type of container logistics equipment, an assembly line of port container logistics (ALPCL) model based on flexible job-shop scheduling (FJSS) is further constructed. Then, a distributed algorithm based on the Benders decomposition (BD) embedded with an improved non-dominated sorting genetic (INSGA-II) is designed to realize optimal dispatch with limited data exchange and great solution efficiency. The results of case studies demonstrate the effectiveness of the proposed method for economic and environmental benefits, including a reduction in scheduling costs and pollution emissions. This method can also achieve co-improvement of energy and logistics efficiency

Enhanced Ant Colony Algorithm for Discrete Dynamic Berth Allocation in a Case Container Terminal

Berth allocation is a critical concern in container terminal port logistics, involving the precise determination of where and when arriving vessels should dock along a quay. With berth space limitations and a continuous surge in container handling demands, ensuring an effective berth allocation is paramount for the smooth and efficient operation of container ports. However, due to the randomness of vessel arrival times and uncertainties surrounding container ship loading capacities, berth allocation problems (BAP) often present discrete and dynamic challenges. This paper addresses these challenges by considering real-world terminal operational factors, formulating relevant assumptions, and establishing a model for dynamic berth allocation and efficient ship berthing scheduling. The primary motivation stems from the parallels observed between the BAP problem and ant foraging path selection, leading to the proposal of a novel Parallel Search Structure Enhanced Ant Colony Algorithm (PACO). A proper set of parameters of the algorithm are selected based upon sensitivity analyses on the convergence and parallelism efficiency of the algorithm. To validate our method, a real-world case-container terminal operation in Shanghai Port was studied. The experimental comparison results show that the PACO algorithm outperforms other commonly used algorithms, making it more effective and efficient for the Discrete Dynamic Berth Allocation Problem (DDBAP).

Exploring the Failure Mechanism of Container Port Logistics System Based on Multi-Factor Coupling

Container ports are prone to delays, congestion, and logistics interruptions under the perturbation of uncertain events inside and outside the system. This not only affects the service quality of the system but also brings a serious blow to the whole transportation network. Therefore, this paper aims to develop a hybrid Bayesian network (BN) model to investigate the failure mechanism of the container port logistics system. Considering the complex coupling relationship between failure risks, the DEMATEL and ISM methods are presented to thoroughly analyze the interdependence and hierarchical structure of system failure factors. The failure evolution mechanism of the system is then analyzed using BN reasoning ability. The suggested hybrid model can identify the main failure factors, examine how factors are coupled, and produce the main propagation path resulting in system failure. The findings indicate that the risks associated with technology, facilities, and equipment are the most significant and immediate in the system; human risks affect all system components by acting on other factors; organizational management risks have a fundamental impact on the stability of the system; additionally, the uncertainty of external risks has greatly increased the variability of each logistics link. This study provides useful insights for port logistics risk management.

Operational strategies for the transformation of container port logistics systems with automation technologies: Sustainability improvements

Operational strategies for the transformation of container port logistics systems with automation technologies: Sustainability improvements

Theoretical highlights in container port logistics systems

This study provides a theoretical background on container port logistics in global supply chains. A descriptive analysis including a literature review was carried out in order to achieve the study. This study shows that the container port logistics chain involves all levels of organizational units throughout the supply chain. Therefore, it ensures coordination and exchanges in terms of physical flows, financial flows and informational flow in such a way that the goods are handled and distributed in the right kind. In addition, the analysis finds that the logistics chain required to be evolved with the international changes of maritime transport in order to keep the competitive of seaport. Thus, there is a need to optimize all seaport activities to attain the benefits of the logistics chain. Moreover, this study contributes to the field by exploring the container port logistics integration concept. One of the important findings of this study is that the port is central to logistics — the multidimensional system with a complex activities. Consequently, the findings are relevant to all actors such as transport companies and logistics service providers.

Managing supply chain uncertainty by building flexibility in container port capacity: a logistics triad perspective and the COVID-19 case

The contemporary supply chains in which container ports logistics operate are characterized by increased uncertainties driven by a range of factors such as socioeconomic factors and changing supply chain strategies in response to market dynamics. Recently, the occurrences and effects of these factors on global economic activities, and thus container port logistics, have been intensified by the COVID-19 pandemic. Enabling flexibility in port logistics is more important than ever to navigate uncertainties, now and in the post-COVID-19 world. This paper seeks to develop a conceptual framework to holistically capture different dimensions of container port logistics capacity. A systematic literature review method is employed to formulate a conceptual framework depicting the structure of various elements of capacity and the interplay among the logistics triad of transport carriers, port operators, and logistics service providers whose interactions and service capacities constitute the overall capacity of the system. The study reveals four dimensions of port logistics capacity, namely seaside interface, platform, landside interface, and system-wide, each of which consists of subelements that can be distinguished into static or adjustable. The proposed framework provides insights corresponding to the logistics triad roles and interactions within the system for understanding uncertainty characteristics, assessing various elements of capacity, and identifying potential levers to build flexibility into these interrelated capacity elements.

Exploration of Land Development Intensity Index of Port Container Logistics Park Based on Quantitative Algorithm and Pent Analysis Method

Abstract To give full play to the circulation function of the port container logistics park, it is urgent to study the development intensity of the land in the port container logistics park and to guide the scientific development of the port logistics park with reasonable development intensity control index. The current situation of land development intensity control index of container logistics park at home and abroad is analysed, the PENT (politics, economy, society and technology) analysis method is used to analyse the factors influencing the land development intensity control index of container logistics park, and the index system structure of influencing factors is constructed. Finally, index value is obtained quantitatively with the proposed calculation method of the land development intensity index of the port container logistics park. Its practicability is verified in case analysis.

The Rationalization of Port Logistics Activities: A Study at Port of Santos (Brazil)

This paper presents a study of the port logistics activities at the port of Santos (Brazil). The study follows a qualitative approach and it is based on in-depth interviews with some key actors from Santos port logistics chain. Based on these interviews, the main dysfunctions and improvement opportunities associated to the container port logistics processes at Santos were identified. The results show that the main dysfunctions are related to the existing information flows. Due to this, a new information flow related to the studied port is proposed and some probable results of the implementation are identified. The findings contribute both to the studied port and to the academic community, as the number of studies addressing port logistics activities is still limited.

The effects of intra- and extra-organisational integration capabilities in the container shipping freight industry

This study empirically investigates the effects of intra- and extra-organisational integration capabilities on supply chain logistics integration, specifically in the context of container shipping freight forwarders and port logistics. Using survey data collected from the member directory of the Korea International Freight Forwarder Association and Korea Port Logistics Association, structural equation modelling was used to examine the effects of intra- and extra-organisational integration capabilities on supply chain logistics integration. Confirmatory factor analysis identified six main dimensions of intra- and extra-organisational integration: top management support, internal integration, information technology, commitment, sharing, and long-term relationship. The results also indicate that extra-organisational integration fully mediated the relationship between intra-organisational integration and supply chain logistics integration. Theoretical and practical implications are discussed regarding the findings for intra- and extra-organisational integration capabilities and intensity of supply chain logistics integration in the context of container shipping operations.

The Integrated Optimization of Container Port Logistics System Resources

The container port develops from the traditional loading and unloading transportation to the modern comprehensive logistics industry. Its function has made great extension, however the logistics system needs to be further integration optimization , this paper aims at the present stage of the unbalanced development of port container transportation , the service and coordinated ability is weak , the consciousness of cooperative competition is more poorer , the multimodal transportation is imperfection, the construction of information automation lag and so on, proposing measures to strengthen technological innovation , improve the consciousness of cooperative competition , and improve the level of container transportation services , etc. speeding up the integrated optimization of Container port logistics system resources and give full play to the container port overall advantage ,so as to promote competition ability .

Integration and Optimization of Quay Cranes and Trucks at Container Terminal

Along with the rapid growth of world trade, new requirement for throughput efficiency of modern container port are put forward. The existing optimization method to research the transport of the container terminal is single and complex. So in this article, the quantitative integrated optimization of the quay cranes and the trucks is made and the research scale is enlarge, in order to improve the efficiency of the research results. A model is built based on queuing network theory, and the mathematical algorithm is used to solve the model. Some experiments are used to demonstrate the feasibility and effectiveness of this study. The result shows that developed a genetic algorithm get the most optimal ratio of resource, and through a series of numerical examples . Are given The method to match the quay cranes and the trucks at container port logistics system, obtained by the techniques and algorithms in this study, can improvs the comprehensive efficiency of container ports.

Model and Calculation of Container Port Logistics Enterprises Efficiency Indexes

The throughput of China’s container port is growing fast, but the earnings of inland port enterprises are not so good. Firstly ,the initial efficiency evaluation indexes of port logistics are reduced and screened by rough set model, and then logistics performance indexes weight are assigned by the rough totalitarian calculation method. As well, the rank of the indexes and the important indexes are picked up by combining with ABC management method. So the port logistics enterprises can monitor the key indexes to reduce cost and improve the efficiency of the logistics operations. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2401

A Study on Success Factors of Development Strategies for Intermodal Freight Transport Systems

Abstract: Efficient sea transportation is heavily dependent on the smooth operation of modal interchange, meaning that intermodal transfer is a key element in successful shipping operations with massive transshipment in major seaports. Competition for intermodal links in container ports is sometimes a short-term objective towards the longer-term vision of establishing a container port logistics systems and a global logistics management center. This paper discusses the development strategies of container ports towards the intermodal freight transport systems, and real-world decision problems were examined. Having obtained a good understanding of the data acquired, shippers’ perceptions of container transportation and port service were analyzed. The cross-tabulations together with the statistical techniques of factor analysis and a one-way analysis of variance (ANOVA) analysis were applied in order to analyze data comparisons and the relationship between the service purchase behavior and the degree of satisfaction for development strategies.

A comprehensive methodological framework for improving security and efficiency of port container logistics

As ports have become key logistics nodes in global chains, port management of container operations has been experiencing radical changes. Moreover, the ramifications of the associated policy-making expand well beyond their own boundaries. The challenging managerial environment is further exacerbated by security concerns and regulations that have gained increased importance during the past years. In this work, we present a System Dynamics simulation-based methodological framework for the modelling and analysis of strategic decision-making for port containers management tackling the issues of security and efficiency. More specifically, we investigate the implications of alternative inspection policies on port system performance, while taking into account the interdependencies of the inspection process with the capacity planning of port operations. Finally, we demonstrate the applicability of the developed methodology on a major port of Greece.