Measuring the perceived container leasing prices in liner shipping network design with empty container repositioning

This paper aims to measure the perceived container leasing prices at different ports by presenting a two-stage optimization method. In stage I, we propose a practical liner shipping network design problem with empty container repositioning. The proposed problem further considers the use of foldable containers and allows the mutual substitution between empty containers to decrease the number of empty containers to be repositioned. In stage II, the inverse optimization technique is used to determine the perceived container leasing prices at different ports, based on the solution obtained in stage I. Based on a set of candidate liner shipping service routes, a mixed-integer nonlinear programming model is built for the proposed problem in stage I. The nonlinear terms are linearized by introducing the auxiliary variables. Numerical experiments based on a realistic Asia-Europe-Oceania liner shipping network are carried out to account for the effectiveness of our two-stage optimization method.     

Sailing speed optimization for container ships in a liner shipping network

This paper first calibrates the bunker consumption - sailing speed relation for container ships using historical operating data from a global liner shipping company. It proceeds to investigate the optimal sailing speed of container ships on each leg of each ship route in a liner shipping network while considering transshipment and container routing. This problem is formulated as a mixed-integer nonlinear programming model. In view of the convexity, non-negativity, and univariate properties of the bunker consumption function, an efficient outer-approximation method is proposed to obtain an ε-optimal solution with a predetermined optimality tolerance level ε. The proposed model and algorithm is applied to a real case study for a global liner shipping company.     

Levels of internationalization in the container shipping industry: an assessment of the port networks of the large container shipping companies

This paper examines the internationalization level of the world’s largest container shipping companies by examining their port networks. The results of our analysis show that only three of the nineteen companies could be considered as being truly ‘International’ and service the ‘lion’s share’ of the major and minor ports distributed across the globe. The port networks of the other companies in our survey, whilst having individualized features, shared common characteristics. Guided by the ‘Uppsala Model of Incremental Internationalization’ (Johanson and Vahlne, 1977), we were able to identify four internationalization levels of a container shipping company that are indicated by their port network.We argue that the port network plays an additional role as it contributes to the internationalization level of the container shipping companies. This is important because the internationalization level affects the container shipping company’s ability to expand its customer base both at a local and international level. Local customers would have access to a larger international destination network and international customers would be able access a larger local distribution network without transhipping between different companies.Amongst other issues, we were able to determine that, for the analyzed container shipping companies, ‘Internationalization’ of a port network means including or excluding ports in specific regions or sub-regions in their own network, and that a company’s home base or history plays a significant role in this development.     

Multi-port vs. Hub-and-Spoke port calls by containerships

This paper addresses the design of container liner shipping networks taking into consideration container management issues including empty container repositioning. We examine two typical service networks with different ship sizes: multi-port calling by conventional ship size and hub-and-spoke by mega-ship. The entire solution process is performed in two phases: the service network design and container distribution. A wide variety of numerical experiments are conducted for the Asia–Europe and Asia–North America trade lanes. In most scenarios the multi-port calling is superior in terms of total cost, while the hub-and-spoke is more advantageous in the European trade for a costly shipping company.     

The container shipping network design problem with empty container repositioning

This paper addresses the design of container liner shipping service networks by explicitly taking into account empty container repositioning. Two key and interrelated issues, those of deploying ships and containers are usually treated separately by most existing studies on shipping network design. In this paper, both issues are considered simultaneously. The problem is formulated as a two-stage problem. A genetic algorithm-based heuristic is developed for the problem. Through a number of numerical experiments that were conducted it was shown that the problem with the consideration of empty container repositioning provides a more insightful solution than the one without.     

Risk management in liner ship fleet deployment: A joint chance constrained programming model

This paper provides a tangible methodology to deal with the liner ship fleet deployment problem aiming at minimizing the total cost while maintaining a service level under uncertain container demand. The problem is first formulated as a joint chance constrained programming model, and the sample average approximation method and mixed-integer programming are used to deal with it. Finally, a numerical example of a liner shipping network is carried out to verify the applicability of the proposed model and solution algorithm. It is found that the service level has significant effect on the total cost.     

The effect of high fuel costs on liner service configuration in container shipping

For shipping activities, not least container shipping, bunker fuel is a considerable expense. In the last 5 years, bunker prices have risen considerably. An increasing bunker price in container shipping, especially in the short term, is only partially compensated through surcharges and will therefore affect earnings negatively. This paper deals with the impact of increasing bunker costs on the design of liner services on the Europe–Far East trade. The paper assesses how shipping lines have adapted their liner service schedules (in terms of commercial speed, number of vessels deployed per loop, etc.) to deal with increased bunker costs. The paper also includes a cost model to simulate the impact of bunker cost changes on the operational costs of liner services. The cost model demonstrates for a typical North Europe–East Asia loop that the current bunker prices have a significant impact on the costs per TEU even when using large post-panamax vessels. The model also shows shipping lines are reacting quite late to higher bunker costs. The reasons that explain the late adaptation of liner services relate to inertia, transit time concerns, increasing costs associated with fixing schedule integrity problems and fleet management issues.     

Liner ship fleet deployment with container transshipment operations

This paper proposes a liner ship fleet deployment (LSFD) problem with container transshipment operations. The proposed problem is formulated as a mixed-integer linear programming model which allows container transshipment operations at any port, any number of times, without explicitly defining the container transshipment variables. Experiments on the Asia-Europe-Oceania shipping network of a global liner shipping company show that more than one third (17-22 ports) of the total of 46 ports have transshipment throughputs. Computational studies based on randomly generated large-scale shipping networks demonstrate that the proposed model can be solved efficiently by CPLEX.     

Shipping efficiency comparison between Northern Sea Route and the conventional Asia-Europe shipping route via Suez Canal

The continuous retreat of Arctic sea ice and seemingly appealing cost competitiveness of transarctic shipping routes are expected to boost shipping activities in the region. However, in reality, the number of Arctic transits remains meagre compared with major shipping routes. This study first develops a profit estimation model for containership sailing from an original port to a destination port with multiple port calls and a cost estimation model for oil tanker sailing from an origin port to a destination port. The authors then proceed to compare the shipping efficiency between the Northern Sea Route (NSR) and the Asia-Europe shipping route via Suez Canal by using the developed models and real shipping operational data. The results demonstrate that NSR shipping is not economically favored compared to traditional one in container shipping, but may be only appealing to small or medium-size tanker operators.     

The Northern Sea Route versus the Suez Canal: cases from bulk shipping

The navigation distance via the Northern Sea Route (NSR) from a Northwest-European port to the Far East is approximately 40% shorter compared to the route via the Suez Canal. The shorter distance may facilitate more than a doubling of vessels’ operational energy efficiency performance. There is at present substantial uncertainty in schedule reliability via the NSR. Unless the schedule reliability is improved, the NSR should primarily be explored for bulk rather than for liner shipping. A major disadvantage with the NSR is its seasonality. Shipping operations in the summer time via the NSR may already today be profitable for minor bulk trades. Additional shipping routes may give more flexibility, and the NSR route choice option may facilitate supply chain agility and adaptability.     

Knowledge management enablers in liner shipping

This study empirically identifies crucial knowledge management enablers and examines their impacts on organizational performance using survey data collected from liner shipping firms include shipping companies and agencies. Results indicated that knowledge management enablers such as organizational structure and knowledge management culture are found to have significantly positive effects on the organizational performance aspects of innovativeness, financial performance, and customer service, whereas information technology support is a positive effect on organizational performance aspect of innovativeness. Theoretical and managerial implications of the research findings on knowledge management for liner shipping companies are discussed.     

Liner hub-and-spoke shipping network design

This paper proposes a liner hub-and-spoke shipping network design problem by introducing the concept of a main port, as well as some container shipping constraints such as multi-type container shipment and transit time constraints, which are seldom considered in the previous studies. It develops a mixed-integer programming model with nonconvex multi-linear terms for the proposed problem. An efficient genetic algorithm embedded with a multi-stage decomposition approach is developed to solve the model. Numerical experiments are carried out to assess the effectiveness of the proposed model and the efficiency of the proposed algorithm.     

Is the container liner shipping industry an oligopoly?

This paper focuses on the question whether or not the container liner shipping industry is an oligopoly. Although liner shipping literature has been occupied with this question, few authors have examined the market structure of the containerised liner shipping industry. The study of the market form at trade level fills in a gap in the literature. The empirical investigation uses concentration ratios to measure the degree of concentration. The results allow us to determine the degree and type of oligopoly. The conclusion shows that the containerised shipping industry is characterised by increased concentration. Some trade lanes may be characterised as a loose oligopoly; others as a tight oligopoly.     

Simultaneous optimization of schedule coordination and cargo allocation for liner container shipping networks

A liner container shipping carrier usually collects immediately-delivered goods that are produced by manufacturers in world factories, and transports the products to worldwide market destination by offering weekly shipping service. In practice, the carrier has to consider extra demurrage cost of containerized cargos incurred from waiting for weekly shipping service at ports. In this paper, we develop a mathematic programming model to maximize the carrier’s profitability by simultaneously optimizing the ship route scheduling and interrelated cargo allocation scheme. The nonlinear optimization model is transformed into an equivalent mixed-integer linear program, and its applicability is demonstrated by a case study.     

World maritime cities: From which cities do container shipping companies make decisions?

In recent decades, many researchers have devoted themselves to the study of world cities. One of the most important contributions to world city research has come from the Globalisation and World Cities Study Group & Network (GaWC-Loughborough University). GaWC focuses on external relationships between world cities. It has analysed the world city network and the hierarchy between cities in various sectors, but primarily in advanced producer services (accountancy, advertising, banking/finance and law). Previous studies have identified London, New York, Paris and Tokyo as high-level global service centres, followed closely by Chicago, Frankfurt, Hong Kong, Los Angeles, Milan and Singapore. Thus far, however, the maritime sector has been neglected in the identification and analysis of global cities. The main purpose of the present article is to fill this void.The first part of our analysis includes a study of the literature on world cities and an examination of the criteria and methods on which previous research has been based. In part II, we explore the world maritime city network by applying and interpreting the GaWC methods. For a city to be recognised as a world maritime city, it must have a presence of container shipping companies and container terminal operators. As for the city's operational capacity, that is determined by the extent of linkages between those container shipping companies and container terminal operators, on the one hand, and the rest of the world maritime market, on the other hand. The collected empirical evidence shows that Hong Kong, Hamburg, Singapore, Shanghai, Tokyo, New Jersey/New York, Bangkok/Laem Chabang and London are the world's leading maritime cities. Furthermore, analysis of interrelations in these cities between shipping companies and container terminal has indicated Hong Kong, Hamburg and New York to be the main nodes in the world maritime city network.     

Container Ocean-transportation System Design with the factors of demand fluctuation and choice inertia of shippers

This paper introduces an optimization model (COSDM) for a Container Ocean-transportation System with the objective of maximizing the revenue of a liner company while taking into account the seasonal fluctuation in transportation demand and the choice inertia of shippers. The COSDM optimizes shipping network design and fleet deployment simultaneously, and it optimizes plans for changing the shipping network and for distributing slots in ships based on the fluctuation in demand and the characteristics of the shippers’ choice inertia. To solve COSDM, a heuristic algorithm is created that combines Genetic Algorithm and Simplex Method. The results show that the COSDM gives an optimized design scheme of the system that takes into account the stability of transportation services and improves the user experience of shippers while increasing the revenue of the liner company. Moreover, the results also reveal new explanations for the increasing size of container ships.     

Global intermodal liner shipping network design

This paper presents a holistic analysis for the network design problem of the intermodal liner shipping system. Existing methods for liner shipping network design mainly deal with port-to-port demand. However, most of the demand has inland origins and/or destinations. Thus, it is necessary to cope with inland origin–destination (OD) pairs involving a change in transport mode from inland transportation to maritime shipping. A method is first proposed to convert inland OD demand to port-to-port demand. Then, a framework for global intermodal liner shipping network design is proposed. Finally, the proposed methodology is applied to and numerically verified by a large-scale network example.     

The effect of multi-scenario policies on empty container repositioning

This paper addresses a container maritime-repositioning problem where several parameters are uncertain and historical data are useless for decision-making processes. To address this problem, we propose a time-extended multi-scenario optimization model in which scenarios can be generated taking into account shipping company opinions. We then show that multi-scenario policies put shipping companies in the position of satisfying empty-container demands for different values that may be taken by uncertain parameters.     

Dynamics of liner shipping network and port connectivity in supply chain systems: analysis on East Asia

The study of ports in supply chain systems is an emerging area of importance which has drawn more attention from researchers in recent years. This paper presents a new perspective in this research area by examining the calling patterns of container shipping services in order to understand the dynamics of port connectivity and inter-port relationships in the supply chains. Empirical evidence is drawn from four major ports in East Asia, namely Shanghai, Busan, Kaohsiung and Ningbo. The study identifies the shipping capacity, trade routes and geographical regions connected to the ports, shipping lines involved, and the extensity and intensity of inter-port relationships among the four container ports from liner shipping network’s perspective. The findings show that most of the shipping capacity employed on the major east–west trade routes became non-exclusive and involved calls at two or more of the four ports. Port planners, terminal operators and carriers could capitalise on opportunities through exploitation of complementary relationships that exist among the selected ports, such as offering a package for shipping lines to call at a portfolio of terminals owned by the same terminal operator. Policy and research implications as well as recommendations are discussed for various stakeholders concerned with port planning and regional development.     

The potential economic viability of using the Northern Sea Route (NSR) as an alternative route between Asia and Europe

The Arctic Ocean has been greatly affected by climate change. Future predications show an even more drastic reduction of the ice cap which will open new areas for the exploration of natural resources and maritime transportation. Shipping through the Arctic Ocean via the Northern Sea Route (NSR) could save about 40% of the sailing distance from Asia (Yokohama) to Europe (Rotterdam) compared to the traditional route via the Suez Canal. However, a 40% reduction in distance using the NSR does not mean a corresponding 40% in cost savings due to many factors, including: higher building costs for ice-classed ships, non-regularity and slower speeds, navigation difficulties and greater risks, as well as the need for extra ice breaker service.The main purpose of this study is to investigate the economic potential of using the NSR as an alternative route between Asia and Europe by taking all the main factors into consideration. It focuses on economic aspect of the NSR, therefore navigation/ environmental/cultural/legal issues are not discussed.The economic study is conducted by a case study in which 4300 TEU container ships (both non-ice classed and ice classed) are employed to make year round service. The annual profit gained from regular service by a non-ice-classed ship via the Suez Canal for the entire year is compared to the annual profit gained from an ice-classed ship taking the NSR during the navigable months and Suez Canal for the rest of the year. There are three factors that influence the NSR the most: the navigable time of the NSR, Russian NSR fees and bunker prices. To make this study flexible, three scenarios for navigable time, three scenarios for Russian NSR fees as well as three scenarios for bunker prices are proposed. These assumptions are all combined with each other and the profit under each condition is then calculated. The overall comparison is made in order to see under which conditions the NSR is competitive with the Suez Canal.