Empty container reposition planning for intra-Asia liner shipping

This paper addresses empty container reposition planning by plainly considering safety stock management and geographical regions. This plan could avoid drawback in practice which collects mass empty containers at a port then repositions most empty containers at a time. Empty containers occupy slots on vessel and the liner shipping company loses chance to yield freight revenue. The problem is drawn up as a two-stage problem. The upper problem is identified to estimate the empty container stock at each port and the lower problem models the empty container reposition planning with shipping service network as the Transportation Problem by Liner Problem. We looked at case studies of the Taiwan Liner Shipping Company to show the application of the proposed model. The results show the model provides optimization techniques to minimize cost of empty container reposition and to provide an evidence to adjust strategy of restructuring the shipping service network.     

A reactive container rerouting model for container flow recovery in a hub-and-spoke liner shipping network

This paper focuses on the container rerouting due to a disruption, aims at making the optimal container flow recovery plan for the affected liner shipping company. First, we make the initial effort to bring up with a basic framework of disruption management for liner shipping. Second, we present a compact integer linear programming model for addressing the container rerouting problem under the proposed framework in a hub-and-spoke liner shipping network, based on a given recovery vessel schedule that determines to omit a port of call. Other shipping companies’ services and other modes (roadway, railway, and airline) as candidate alternative means to transport the miss-connected containers are also incorporated in the proposed model. The container flow recovery plan would select the optimal alternative paths for the miss-connected containers balancing the trade-off between container transport costs and delivery delay penalty costs. Finally, a case study from a global liner shipping company is investigated and the computational results indicate the model can be solved effectively and efficiently for the real-scale problem. Thus, the proposed approach in this paper can supply real-time decision support tool for the liner shipping operators on handling the process of container flow recovery.     

美国西海岸港口集装箱运输发展分析

美国西海岸港口承担了美国一半以上的集装箱运输量,其中大部分是美国与亚洲国家之间的贸易货物海运量,对我国等亚洲国家与美国间的国际贸易和集装箱海运有极其重要的影响。本文根据相关数据,分析美国西海岸港口集装箱运输的发展状况。     

Empty container repositioning in liner shipping1

The efficient and effective management of empty containers is an important problem in the shipping industry. Not only does it have an economic effect, but it also has an environmental and sustainability impact, since the reduction of empty container movements will reduce fuel consumption and reduce congestion and emissions. The purposes of this paper are: to identify critical factors that affect empty container movements; to quantify the scale of empty container repositioning in major shipping routes; and to evaluate and contrast different strategies that shipping lines, and container operators, could adopt to reduce their empty container repositioning costs. The critical factors that affect empty container repositioning are identified through a review of the literature and observations of industrial practice. Taking three major routes (Trans-Pacific, Trans-Atlantic, Europe–Asia) as examples, with the assumption that trade demands could be balanced among the whole network regardless the identities of individual shipping lines, the most optimistic estimation of empty container movements can be calculated. This quantifies the scale of the empty repositioning problem. Depending on whether shipping lines are coordinating the container flows over different routes and whether they are willing to share container fleets, four strategies for empty container repositioning are presented. Mathematical programming is then applied to evaluate and contrast the performance of these strategies in three major routes.     

Vulnerability analysis of global container shipping liner network based on main channel disruption

The Malacca Strait, the Suez Canal and the Panama Canal play an important role in the global container shipping. To study the impact of main channel interruption on the container shipping, we analysed statistical data on all routes operated by the top 100 global container liner companies and constructed a network model. We selected four topological metrics to measure the network’s connectivity and used the network weekly total shipping capacity and average shortest shipping time to measure the network’s transportation capacity and transportation time. The interruption of the main channel is simulated, and the changes in the metrics are analysed. The results indicated that the network’s vulnerability is sensitive to main channel interruption. If the Malacca Strait is interrupted, the network’s prosperity degree fall by almost half and the network’s transportation time increase by more than a quarter if the Suez Canal is interrupted. In addition, East Asian and European container liner shipping have more than 50% dependence on the Malacca Strait and the Suez Canal. Moreover, the container transport time between ports in East Asia, Europe, and North America and the rest of the world increases by an average of 4–9 days in the main channel interruption.     

Connectivity analysis of the global shipping network by eigenvalue decomposition

ABSTRACT

Maritime shipping necessitates flexible and cost-effective port access worldwide through the global shipping network. This paper presents an efficient method to identify major port communities, and analyses the network connectivity of the global shipping network based on community structure. The global shipping network is represented by a signless Laplacian matrix which can be decomposed to generate its eigenvectors and corresponding eigenvalues. The largest gaps between the eigenvalues were then used to determine the optimal number of communities within the network. The eigenvalue decomposition method offers the advantage of detecting port communities without relying on a priori assumption about the number of communities and the size of each community. By applying this method to a dataset collected from seven world leading liner shipping companies, we found that the ports are clustered into three communities in the global container shipping network, which is consistent with the major container trade routes. The sparse linkages between port communities indicate where access is relatively poor.     

Next generation mega container ports: implications of traffic composition on sea space demand

ABSTRACT

Demand for sea space brought about by increasing container-shipping traffic has important implications on how this space is managed and used. This is particularly important given the long-term nature, high-asset specificity, high- opportunity cost of investment, and significant economic impact of container port activity on a locality. The challenge is especially pressing for ports, which are facing constraints in seaside capacity where container traffic also has to co-exist with the needs of other types of ship traffic. This challenge is likely be multiplied for next generation container ports, which are expected to handle even larger traffic volumes. These ports are also likely to face competing sea space demands from other economic and social activities especially when they are concurrently major confluences of trade, logistics, and urban populations. This is the first research to investigate in detail the impact and importance of investigating sea space requirements from the perspective of cargo traffic composition and ship capacity. Results show that transshipment containers can generate much higher demand for sea space due to the higher volume of shipping capacity that accompanies such traffic. Sustainability issues and managerial and policy implications pertaining to the development of next generation container ports are provided.     

A slot reallocation model for containership schedule adjustment

Ship slot capacity is the main sale resource of container shipping lines. However, shipping lines often encounter situations, such as serious ship delays, that require adjustments of shipping schedules, causing the original delivery plans of some consignments to be altered. This study proposes an integer programming model for slot reallocation planning, based on a given adjusted schedule. Decisions regarding empty container repositioning are also examined. This model aims to maximise a company’s benefits from deliveries of consignments and movements of empty containers. Available slots are subject to port rotation changes, allowable port handlings and ship capacity. A case study of a deep ocean loop demonstrates optimal slot reallocation, and empty container repositioning is used for illustrative purposes. The reallocation characteristics due to benefit items and the model’s applicability to large-scale examples are discussed.     

Weekly container delivery patterns in liner shipping planning models

This paper addresses a fundamental question related to nearly all container liner shipping planning models: whether the implicit assumption of identical container delivery pattern every week is valid in a situation of identical shipping services and identical cargo demand every week. We prove that when the number of containers transported from one port to the next is formulated as a continuous variable, the resulting mathematical model with an identical container delivery pattern is equivalent to the model with general container delivery patterns which can be different in different weeks. When the number of containers transported is formulated as an integer variable, the model with an identical container delivery pattern is not equivalent to the model with general container delivery patterns. However, the difference between the optimal objective values of the two models is negligible for practical applications. In sum, little, if not nothing, is lost by assuming an identical container delivery pattern in liner shipping planning models.     

深圳港集装箱运输分析

深圳港是我国重要的集装箱运输干线港口。本文根据相关统计数据，分析深圳港集装箱运输的特点。     

Foldable container in empty container repositioning in intermodal transportation network of Belt and Road Initiative: strengths and limitations

In 2013, the concept of the ‘Silk Road Economic Belt and the 21st-Century Maritime Silk Road (Belt and Road)’ was initiated by the Chinese government, which involves Asian, European and African continents and their adjacent seas. Logistics plays a core role in such a large framework of economy and trade. In recent years, China, European Union, and Southeast Asia pay much attention to the design and development of the intermodal transportation network towards both economic and environmental efficiency. In this paper, we propose an empty container repositioning model in the intermodal transportation network of Belt and Road (B&R) Initiative by considering both standard and foldable containers. In this model, empty containers are repositioned from the inland of the original area, such as China, to other areas of B&R Initiative related countries and regions, such as European Union and Southeast Asia. We develop a mixed integer linear programming model to determine the optimal repositioning of empty containers via the intermodal transportation network. An Artificial Bee Colony algorithm is developed to solve large size problems in practice and numerical experiments are conducted to show the efficiency of our proposed algorithm. We provide managerial insights regarding the impact on the network performance of foldable containers transportation.     

Fuzzy empty containers excess estimation as an economic indicator—the case of the north Adriatic port system

Today, approximately 90% of the world’s cargo is moved by ships and almost all general cargoes are transported in containers. Worldwide container traffic has increased over the last 20 years by 7% annually, and containerization has begun to seriously impact global trade patterns. As a result, container terminals have become very important nodes in the world’s supply chain. In this article, we have highlighted the link between the total and empty container traffic and the global economy. By way of example, we have analysed the empty container traffic in north Adriatic ports in the years before and during the global economic crisis and in a period of stability after the major economic slump. We used a fuzzy multicriteria algorithm to find out how the global crisis, which has affected ports, influences the number of excess empty containers at the terminals. We show that these factors, in particular the change of the global financial and economic situation, have different repercussions to the ports of the north Adriatic: less serious effects upon the ports that are well connected locally and substantial consequences for the ports that are well connected globally.     

海运空箱调运模糊优化研究

介绍应用模糊规划的方法研究海运集装箱空箱调运问题,模型以空箱调运和租借费用最小为目标函数,考虑空箱供给能力、空箱需求量和空箱运输容量限制等条件,并考虑到空箱需求量是模糊数时的情况。     

Asian hub/feeder nets: the dynamics of restructuring

The emergence of hub/feeder networks in the Singapore-Japan corridor through the 1970s and 1980s reflected not only the rapid growth of containerized cargo in regional Southeast and East Asia but also the exceptional importance of Far East/transPacific and Far East/Europe mainline shipping services in structuring these networks. This paper argues that the mid-1990s is a defining moment in the restructuring of these networks; that the period represents, in fact, a convergence of a number of different though related trends impacting on the regional shipping market. More particularly, continuing high growth rates of containerized cargo have not only spawned new ports but have also increased the proportion of ports handling threshold volumes of containers for which mainline calls, rather than handling thfeeder operations, are justified. Further, the quite dramatic retionalization of already large container shipping lines into mergers and alliances bestows a new level of market power that is able to underwrite major changes in shipping schedules, port rotations and feeder linkages. This paper speculates that these developments are generating, and will continue to generate new, hierarchically organized port/shipping networks in which high order networks will include high efficiency/high cost operations; and lower order networks will include a mix of hub and direct-call ports that will focus on different market segments.     

Optimal container ship size: a global cost minimization approach

ABSTRACT

Currently, the best container ship size in a service is determined mainly by the liner operator, considering only the economies of scale of ships. Its external diseconomies to the ports and shippers are usually not considered in the decision-making process, which may reduce the overall efficiency and lead to global nonoptimality. This study incorporates the cost to the shipping companies at the main lines, ports, and feeder services, as well as the external costs to shippers and ports in a hub-and-spoke network, and determines the best ship size and the number of weekly services to minimize the overall costs. The external cost to the shippers in the feeder ports is assumed to be proportional to the feeder cost, and a sensitivity analysis is provided. The maximum container ship size is estimated according to different levels of freight demand. A numerical analysis shows that the optimal size should be smaller than the current biggest container ships in service.     

集装箱空箱海上调运优化模型

应用线性规划的方法，从船舶公司的角度考虑海上空箱调运优化问题，建立调运优化模型；以调运费用，装、卸箱费用和租箱费用最省为目标，同时考虑客户的需求，供给和运输能力的约束。     

沿海内贸集装箱班轮航线优化研究

随着沿海内贸集装箱运输市场的快速发展,各大班轮公司如何把船舶安排到最佳航线上,使有限的船舶资源创造最大的经济利益,成为各大公司研究的课题。根据沿海几大干线港口之间的运量需求,建立非线性规划与整数规划相结合的混合模型,选择典型航线建立运输网络,并对其进行优化。该数学模型可应用于解决我国沿海内贸集装箱船舶运输航线配置问题,进而实现利润最大。     

集装箱船舶大型化对中国班轮运输的影响

通过竞争情报分析提供了各班轮公司未来船队结构和运力的变化趋势,由此观察到各班轮公司为了降低自身的营运成本,在最近几年大量订购超巴拿马型甚至更大型的集装箱船舶参与运输,但是却不能达到其预期的规模效应。原因就在于相当一部分成本随着船型的增大而线性增加,规模不经济。我们探讨了中国的班轮运输市场的几个重要特点:中外贸易的不平衡导致了货源的不平衡;未来贸易结构的调整会影响航线的布局和调派;贸易上的不稳定因素使班轮公司遇到外在的风险。这些特点会深远地影响集装箱船舶大型化的经济受益,相反的,集装箱船舶大型化的趋势也会加剧这些负面的影响,危及整个班轮运输市场。     

Impact of scale increase of container ships on the generalised chain cost

In recent years, an increase in the size of the container ships could be observed. The question is how these larger ships will influence the total generalised costs from a port of loading to a destination in the European hinterland. The second question is whether a scale increase of the container ships on other loops, such as a loop from the United States to Europe, has the same impact on the generalised chain costs as on the loop from Asia to Europe. A derived question is which element of the total chain has the highest importance, and whether this balance varies as the ship size changes. In this article, a model is developed that allows answering the above research questions. The model is designed to simulate the cost of a complete loop of a container ship and of a chain that uses that same loop. For the chain cost simulation, the maritime part is determined by the loop. From the ports of loading and unloading, the port container handling and the hinterland transportation costs are also integrated. The model also allows calculating the total chain cost from a point of origin (either a hinterland region or a port) to a destination point (also a port or a hinterland region). An actual container loop of a container shipping company can be introduced in the model. An application is made to two existing container loops, namely from Asia respectively the United States to Europe. It turns out that changing ship does indeed lead to economies of scale, but also that the impact is larger on the Asia–Europe connection than on the US–Europe connection. Furthermore, the maritime component has the biggest share in the total chain cost, but as ship size increases, the shares start getting closer to each other. This research contributes to the existing literature in two ways. First of all, it quantifies the impact of the scale increase of container ships throughout the total chain. Second, this is done from a bottom-up engineering modelling approach.     

Verifying liner Shipping Alliance’s stability by applying core theory

The core is a vital concept in cooperative game theory and has been widely used in analyzing alliance’s stability. It is especially interesting to apply core theory in liner shipping market due to the latter’s exceptional characteristic of non-homogeneous cost curves as well as divisible and fluctuant demand. Having observed some new phenomena and trends in the industry, this paper studies the economic performance and stability of liner shipping alliance by applying core theory where business cooperation is partly realized by delivering joint-service with mega container ships. To demonstrate the core situation in liner shipping alliance, a cost function is first identified on the basis of two assumptions regarding cooperation: 1) sharing or pooling vessels and 2) deploying mega container ships if needed. Taking cost functions as basis, two conditions of approaching core may be groomed, i.e., collective rationality and individual rationality. The first condition is discussed from the perspective of market, while the second condition is studied within the alliance. Stability of liner shipping alliance is then observed based on these two conditions. An illustrative case study is conducted in order to show some implications and explicitly clarify the theory.