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.     

The impact of port operations on efficient ship operation from both economic and environmental perspectives

Recently, shipping lines have focused on efficient ship operation, which relates to energy efficiency issues in shipping and, particularly, to operational issues such that the minimisation of fuel consumption and resulting greenhouse gas emissions. Efficient ship operation in container lines is closely related to the ship’s time at sea and ship’s time in port. Reduction in port time, thanks to high-quality port operations, allows improvement in the operational efficiency of a liner service by reducing the fuel consumption of a ship at sea and its resulting CO₂ emissions. The main goal of this article is to investigate how time in port affects efficient ship operation in terms of operating costs, CO₂ emissions and externalities. For this, as a methodology, a simulation based upon system dynamics is introduced. Major finding is that less time in port resulting from the improvement of port operations contributes to efficient ship operation in terms of operating costs, amount of CO₂ emissions and external effects in the liner shipping industry. In particular, a sensitivity analysis on efficient ship operation vis-à-vis the quality of port operation shows that bigger ships need to select highly productive calling ports that provide less time in port.     

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.     

Competition for transhipment containers by major ports in Southeast Asia: slot capacity analysis

Container ports in Southeast Asia accounted for an estimated 30.0% of the world's transhipment traffic in 2004. The share of the region's transhipment trade was forecasted to increase to 32.5% in 2015. The potential offered by this large and expanding market encouraged major container terminal operators located in Port Klang, Singapore and Tanjung Pelepas to compete intensively for this business by attracting major container shipping lines that operated along key east-west sailing routes to hub at their terminals.

This paper analyses the annual slot capacity connected to the three selected ports that was deployed by all the container shipping lines in 1999-2004. The data are computed and categorized based on shipping trade routes. The study aims to shed light on port competition in Southeast Asia for transhipment containers by an in-depth and quantitative analysis.

The analysis finds that competition from Port Klang and Tanjung Pelepas had a negative impact on Singapore's transhipment performance. Although Singapore continued to enjoy a dominant position as the premier transhipment hub in the region in terms of market share by both transhipment throughput and annualized slot capacity, the evidence suggested that its hold on the market appeared to be slipping, albeit gradually. Overall, Tanjung Pelepas is expected to pose the strongest challenge to Singapore's transhipment hub ambitions. Managerial implications for the ports are drawn.     

Optimal reefer slot conversion for container freight transportation

Given a fleet of container ships of varying capacity, a cost-efficient approach for improving fleet utilization and reducing the number of delayed containers is to optimize the sequence of container ships in a given string, a problem which belongs to the large ship-deployment class. A string sequence with ‘uniformly’ distributed ship capacity is more likely to accommodate a random container shipment demand. The number of one’s total ship slots acts as a gauge of the capacity of the container ships. Meanwhile, there are two types of ship slots: dry slots and reefer slots. A dry slot only accommodates a dry container, while a reefer slot can accommodate either a dry or a reefer container. The numbers of dry and reefer slots for ships in a string are different. Therefore, in this study, we propose a model that considers both dry and reefer slots and use it to elucidate the optimal ship-deployment sequence. The objective is to minimize the delay of dry and reefer containers when the demand is uncertain. Furthermore, based on the optimal sequence deduced, the study also investigates the need to convert some dry slots to reefer slots for the container ships.     

Tactical planning models for managing container flow and ship deployment

This paper addresses two practical problems from a liner shipping company, i.e. the container flow management problem and the ship deployment problem, at the tactical planning level. A sequential model and a joint optimisation model are formulated to solve the problems. Our results show that the company should implement the joint optimisation model at the tactical planning level to improve the shipping capacity utilisation rather than the sequential model used in the current practice. Repositioning empty containers also need to be considered jointly with the nonempty container flow at the tactical planning level. Some important managerial insights into the operational and business processes are gained.     

Vertical integration and its implications to port expansion

ABSTRACT

Over the years many shipping lines have established terminal operation companies, with some set up as independent firms. However, port authorities and local governments have not always welcomed external investment and control with open arms. The economic implications and each stakeholder’s best strategies remain unclear. This study develops an analytical model in order to study the effects of vertical integration, with a focus on shipping lines’ investment in ports’ capacity. Modelling results suggest that vertical integration between terminal operator and a shipping line leads to higher port capacity, port charge, market output and consumer surplus. It also reduces delay costs. All these results suggest that vertical integration can be an important source of synergy for the maritime industry. Although vertical integration increases the participating carrier’s output at the expenses of non-integrating rival shipping firms, our numerical analysis suggests that the overall social welfare is likely to increase. Preliminary empirical tests confirm that vertically integrated ports handle more traffic volumes and are associated with better infrastructure and equipment. Therefore, port authorities and government regulators should carefully review the market competition status as well as port expansion plans.     

The container terminal community

Over the past 30 years, technological developments have not only affected the design and operation of the port function, but also the organizational and institutional relationships within the port community. Two inter-organizational interaction models are presented, drawing on the findings of over 200 in-depth interviews with senior managers representing terminal operators, shipping lines, feeder operators, ship agents, road hauliers, freight forwarders and shippers serving the UK?Far East trade. The first model represents a breakbulk berth of the 1960s and the second a modern container terminal community. In comparing the models, it is shown that containerization has transformed the fragmented breakbulk operation of the 1960s into the cohesive container terminal community that today facilitates port operations. The paper concludes by examining trends in key inter-organizational relationships in the community and the emergence of eBusiness.     

Voyage-based statistical fuel consumption models of ocean-going container ships in Korea

ABSTRACT

Accurately estimating fuel consumption of ships is crucial for shipping companies, port authorities, and environmental protection agencies. The bottom-up approach is becoming increasingly popular because it can estimate ship fuel consumption by accounting for ship activity conditions, such as changes in voyage speed, time, and distance; however, its use is still limited when estimating ship fuel consumption. Ship-specific information, such as the daily fuel consumption rate for main and auxiliary engines for every vessel, is expensive to gather, and generally not collected from private shipping companies. To address this research gap, we develop simplified and composite ship fuel consumption models for ocean-going container ships by size using a regression model. To estimate the fuel consumption models for container ships, we rely on ship activity data, including average speed and sailing time, distance, and actual fuel consumption for main and auxiliary engines. This information is obtained from a major container shipping company in Korea. We estimate and validate the parameters associated with fuel consumption for five different container ship sizes, all of which are smaller than the Post-Panamax container ship (15,000 TEU and above).     

An equilibrium-based network model for international container flows

The liner shipping industry is a highly complex system and is extremely sensitive to rapid changes in the environment. To facilitate decision-making in response to endogenous and exogenous shocks, this research develops a strategic network model based on equilibrium principles to analyze the international marine liner shipping network according to port charge, congestion level at the port, and load factor of the ship and estimates the possible container flows under different scenarios in the long run. The distribution model of container flows is extended from Beckmann's transformation. To calibrate the parameters employed in the model so that it offers greater fidelity in predicting container flows, we devise a descent direction-based heuristic. The proposed framework is empirically applied to various scenarios to validate the model and predict the flow pattern after significant events. By identifying these events’ potential impact on the maritime network, the presented model can help relevant stakeholders reduce uncertainty when shaping maritime policies so that they can seize opportunities to increase their competitiveness and maintain their advantage in the maritime market.     

Modelling port choice in an uncertain environment

Port choice is an important issue to be investigated to ensure the effective integration of container supply chains and the sustainable development of regional economy. The selection of appropriate ports to facilitate shipping activities and international trade is crucial for many stakeholders, including shipping lines, port administrators, cargo shippers and national governments. The task is essentially a process of multiple criterion decision-making (MCDM) under uncertainty, requiring analysts to derive rational decisions from uncertain and incomplete data related to different quantitative and qualitative determinants. This paper aims at proposing a new conceptual port choice method by explaining the role fuzzy logic in evidential reasoning in a complementary way, in which various forms of raw data (either objective or subjective) collected to evaluate port performance can first be converted into and presented as fuzzy grades defined using linguistics terms with degrees of belief (DoBs) and second be combined using evidential reasoning to produce a port choice preference score. The method is applied to analyse the selection of major Northeast Asian (NEA) container ports from a shipping line’s perspective. The outcome, a port choice preference score, is calculated using evidential reasoning to directly synthesize the true estimation of the port with respect to each criterion and therefore, unlike a relative ranking index, keeps the ‘goodness’ of port evaluation, capable of benchmarking a specific port’s performance and monitoring the increase of its competitiveness in a longitude study with respect to an individual criterion or all the criteria as a whole.     

Dynamics of liner shipping service scheduling and their impact on container port competition

Container ports provide the primary interface where physical exchange between buyers and sellers of containerised shipping capacity can be consolidated and realised. Consequently, ports that are able to complement and add value to the objectives of shipping lines and shippers will become focal points for containerised cargo flows. To evaluate container port competition, the authors propose a practical and direct approach based on revealed preferences of shipping lines with respect to container shipping service dynamics. The container shipping networks are generated as carriers formulate their service schedules to capitalise on opportunities that are presented by evolving container trade patterns along trade routes and relative changes in the competitive profile of the ports of call. Empirical results showed that this approach offers a deeper understanding on the workings and evolution of competitive dynamics between ports, which may not be obvious from observations of port performance at the aggregated level. Benefits of the approach also include raising awareness that policy makers should be aware of the need to understand the nature, extensity and intensity of competitive relationships between ports as they craft and implement policies to correct for the actual or perceived market failures in the industry.     

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.     

Towards an ‘inland terminal centred’ value proposition

The two main value propositions in international container transport are ‘port-to-port’ services and ‘door-to-door’ services. In port-to-port services, buyers ‘just’ purchase maritime transport from a shipping line. Door-to-door services comprise the total transport chain and include land-based transport. Carriers as well as forwarders offer these door-to-door services. In this paper we provide a qualitative assessment of an emerging third value proposition that is centred around inland terminals (ILTs). Such a value proposition consists of transport up to the ILT, and may have advantages over port-to-port services, such as better leverage of scale economies, better repositioning of empty containers and better alignment with the business model of forwarders. This paper conceptually and empirically explores such a value proposition.     

集装箱船的大型化开发及其引发的问题

首先概要介绍近年来世界集装箱船大型化的发展，接着分析指出，远洋运输成本低廉是集装箱船大型化发展的驱动力，然后提出大型化发展中出现的3个问题值得讨论。第一个问题是大型化发展受港口航道水深、码头装卸机械等条件制约。第二个问题是设计制造超大型集装箱船的主机不易。最后一个问题是，为解决超大型集装箱船的巨量货物的“集疏运”，必须开发电子信息技术。作者最后提出，21世纪初对大型集装箱船的箱量定位应为8000标准箱。     

集装箱船大副在港期间的工作重点

根据实船的工作经验,对集装箱船在港期间大副的工作重点和对冷冻箱的管理进行详述,为初任的集装箱船大副、驾驶员、航运部门的管理人员对集装箱的管理和应急处理提供参考。     

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.     

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.     

Structure, conduct and performance on the major liner shipping routes 1

Market concentration on the major container shipping routes has the potential to reduce contestability, impede effective competition and, as a consequence, inhibit the positive relationship between trade and economic growth. This development could also hamper the ability of economic regions to realize their respective competitive and comparative advantages. Within this context, the structure-conduct-performance (SCP) framework is used to analyse liner shipping dynamics in the transpacific, Europe-Far East and transatlantic trade routes. The analysis finds no conclusive evidence that either the increased concentration of slot capacity or the attempts by shipping lines to boost potential slot capacity (mainly through collaborative arrangements) lead to improved financial performance. The paper concludes that, despite high and increasing concentration among carriers on each of the trade routes analysed, these markets remain contestable.     

Development of ship sinking frequency model over Subsea Pipeline for Madura Strait using AIS data

It is important to study the risk posed by heavy shipping traffic to a subsea pipeline located near an industrial port area. In this context, it is essential to estimate the accident frequency in an attempt to eliminate subjectivity in the analysis process. This study proposes a model for estimating the ship sinking frequency over the subsea pipeline in the Madura Strait area. The Madura Strait is one of the busiest shipping lanes in Indonesia. Many ships pass through the fairway in the strait, and many industrial ports have been built in this area. The proposed model is developed based on Fujii’s Model, and it uses Automatic Identification System (AIS) data as a ship traffic survey. Ship sinking accidents are considered based on ship–ship collisions over the critical subsea pipeline area. The ship–ship collision locations around the subsea pipeline and the ship traffic distribution models are estimated using AIS data. The causation probability Pc is determined based on a synthetics approach using a Bayesian network modified from Det Norske Veritas’ and Hänninen’s models. The causation probability is estimated by considering factors such as human performance, weather, technical problems, and support. The proposed model is validated by comparing its result with actual accident records for the Madura Strait area. The ratio value of 0.33 is considered to be reasonably agreement (ratio value ≥0.2).