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Empty container repositioning is an important issue in the liner shipping industry. Generally stated, two groups of mathematical models have been proposed to tackle this issue. The first group aims to derive time‐dependent origin‐destination matrices that specify the number of empty containers to be repositioned at a decision epoch; the second group aims to develop effective state‐feedback control policies consisting of dynamic decision‐making rules. There is, however, a lack of research into the comparison of these two groups, especially with regard to realistic cases subject to uncertainties. The purpose of this paper is to evaluate and compare the performances of some typical repositioning policies from these two groups and to shed light on their relative merits and suitability in various realistic scenarios.

Based on a literature review, the paper classifies the current empty container repositioning policies into two categories: origin‐destination (OD) based solutions and state‐based dynamic rules. Typical policies are selected from these two categories and then evaluated using a simulation tool. A range of scenarios are designed based on realistic cases considering the stochastic and dynamic nature of liner services. A comprehensive set of simulation experiments are conducted and analysed; and the relative merits and suitability of the repositioning policies are identified.

Through a carefully designed comparative study, several research findings are obtained with regard to how the performances of different types of empty container repositioning policies are affected by various factors such as structure of service route, uncertainty of daily demands, and parametric optimisation methods.

The study makes a good attempt to analyse the suitability of different empty container repositioning policies in different scenarios. This is an area that has lacked investigation. The research findings can help shipping companies and other relevant stakeholders better understand the relative merits of different empty container repositioning policies and better tackle the challenges in operating the container shipping system.

The purpose of this paper is to explore and analyse the risks in container shipping operations from a logistics perspective. In the paper, risks associated with the three flows in logistics − information, physical, and payment flow are identified and analysed.

The use of case study method was first explained and justified. Second, risk identification was started with supporting references, several interviews were then conducted to identify and validate the potential risks in container shipping operations. A questionnaire was deployed to collect related data; and the impacts of the risks were then assessed and ranked using the method of risk mapping.

The paper has identified a total of 35 risk factors and classified them into different categories. The paper has also revealed that the risks associated with physical flows have more serious risk impacts than the other types of risks; however, one of the risk factors associated with information flow (shippers hiding cargo information) is the most significant one among all the factors.

Although many studies have been conducted on container shipping operational risks, no studies so far have approached this issue from a perspective that inclusively examines all the possible risks and comprehensively evaluates the relative importance of each of them. This study has identified the risks in container shipping operations, and analysed and ranked the level of these risks. The research further “refines” the findings of some previous studies by placing the risk factors addressed therein in a full “risk picture” which was developed systematically.

This study aims to explore and analyzes the risk factors in container shipping and logistics services using a dual perspective. The authors gather data not only from logistics service companies but also from their most important customers.

In this research, the authors used case study methodology (interviews and surveys) to examine risk factors that are related to one another within the interaction between logistics service companies and their customers in the emerging markets of the Mediterranean region (Turkey, Algeria, Tunisia and Libya).

The findings show the most important risk factors and compare them using a dual perspective. Customers identify additional risks and estimate their consequences as wider. Interestingly, oil price change plays a dual role because a price increase could be beneficial to the region; at the same time, however, the competitiveness of shipping would decrease. In both response groups, risk likelihood and risk consequence have a positive and statistically significant correlation.

The findings of the study are limited to one shipping/logistics service company. On a global scale, the company is medium-sized; however, in terms of Northern Europe, it is an important player. Extending its service portfolio to the Mediterranean region is an important step.

In emerging markets, risks go hand in hand with profitability, and companies need to apply extensive risk analysis and mitigation strategies to survive.

The southern Mediterranean region is showing some signs of economy recovery. Efficient, robust supply chains are in demand to support sustainable growth.

Using a case study approach in supply chain risk management in shipping is rather rare; this work is ground-breaking in that it uses dual perspective in the analysis.