Our research highlights the current state and trends of artificial intelligence (AI) adoption in Denmark’s chartering, particularly in the dry bulk and tanker segments. Companies in the dry bulk sector are leading AI adoption, with the tanker segment closely following and adoption rates in our sample appear higher than national averages reported by consultancies. Most firms are in either the experimental phase or transitioning toward more integrated AI systems, often opting for hybrid models that allow them to maintain internal control over key processes. Factors such as company size and maturity also influence the pace and approach to AI adoption.AI is seen as a tool to enhance rather than replace jobs in the early stages of shipping operations, especially in pre-fixture activities. However, there is greater potential for automation and job substitution in the post-fixture phase, particularly in tasks such as contract (CP) management.
On the supply side, the market for maritime AI and software solutions is highly competitive and fragmented, with many providers offering diverse products. Recent consolidation trends reflect different strategies: some companies, like are specializing in core offerings, while others, like are diversifying into both SaaS and pure software models. These consolidations are not only intensifying competition but also fostering partnerships between rivals—a dynamic known as coopetition. Interestingly, some shipping firms are entering the software market themselves, signaling innovation in business models. Machine learning (ML) technologies are primarily used in pre-fixture tools (like email management and tracking), while generative AI is increasingly applied in post-fixture functions, particularly contract management.
Due to limited access to domain knowledge and domain-relevant benchmark data, the Container Stowage Planning Problem (CSPP) is notably under-researched. In particular, previous models of the CSPP have lacked two key aspects of the problem: lashing forces and paired block stowage. The former may reduce vessel capacity by up to 10%, and the latter is NP-hard. The Representative CSPP (RCSPP), which captures all critical aspects of the problem is formulated. The presented RCSPP incorporates overlooked constraints such as paired block stowage and lashing, along with an innovative method for estimating lashing forces, all while maintaining simplicity. A heuristic method, STOW, has been developed to identify solutions for the RCSPP using a specially designed benchmark suite based on real-world scenarios. STOW algorithm is an advanced search heuristic employing a diverse range of solution modification strategies, each tailored to address specific aspects of stowage optimization. Feasible solutions were successfully identified for all instances within the benchmark suite. Our initial findings emphasize the importance of accurately modeling lashing forces and employing paired block stowage. Results show that removing the lashing constraint can increase the number of containers stowed by over 7% on average, while disabling paired block stowage can result in nearly a 5% increase.
Ship engines are subject to a very demanding work environment, where maximum availability is a must. In this project we look at different operational variables of a marine engine from large cargo ships, with the aim of detecting and trending damage onset on different engine sub-components. This information can be used by owners to expedite O&M interventions and maximize ship availability.
The rapid growth of e-commerce applications has promoted the establishment of shipping e-commerce channels by many liner companies in addition to their existing traditional Non-vessel operating common carrier (NVOCC) channel. Unlike NVOCC channels, shipping e-commerce channels guarantee shippers the availability of contracted container slots. However, some problems arise, including the competition with NVOCC channels, shipping slot sales’ risk, and the increasing liner companies’ costs. Therefore, this paper addresses optimal sales strategy selection in the liner transportation industry, including a single traditional NVOCC channel (TN) strategy, and a dual channel with both e-commerce and NVOCC channels (EN) strategy. Two contract scheme models are constructed considering the channel competition on canvassing ability, overselling behavior, demand fluctuation, and the limited liner vessel capacity. Findings show that the impact of overselling behavior on the profit under the EN and TN is not always negative, which is related to the shipping capacity and probability of the high canvassing ability. Comparative analyses reveal that the EN is dominant if the unit overselling compensation cost varies small. Meanwhile, the TN is profitable if the unit overselling compensation cost increases and the canvassing cost of e-commerce channel exceeds a certain value. Otherwise, the selection of sales strategy relies on the arrival rate, the canvassing cost of the e-commerce channel and shipping capacity. The results offer new insights to both theoretical research on container slot sales and the practical selection of sales strategy since shipping e-commerce has changed the slot selling mode in the container shipping industry, which could also enhance the competitiveness of liner companies in the container shipping industry.
Even though that there has been increasing focus on the energy-efficient operation of vessels and that the knowledge of cost-effective improvements is widespread in the industry, energy-efficient operation is only a minor topic on board many working vessels. A significant reduction in fuel can be achieved through changes in the operational practices, but to establish a successful system for best practices within energy-management the installation of a decision support system is essential. This article presents a decision support system for working vessels to determine best practice for the reduction of fuel consumption. Requirements for the system are defined through interviews with crew and observations on board vessels. Case studies are used for illustrating the usefulness. The use of generators onboard is analyzed using the software. It is found that the generators are not running optimally, but the crew can use the software to re-organize and find the most fuel-efficient loading range for the generators on board.
The Ghana National Single Window has become the focus of attention over its potential to move goods swiftly. However, since its inception in 2002, the controversies surrounding the implementation suggest issues beyond trade facilitation. The Information Systems literature primarily ascribes the controversies to resistance to technology. By adopting the Soft Systems Methodology (SSM) as a learning process for understanding port stakeholders' relations and attitudes, we explore the controversies to determine the meanings port stakeholders attribute to them. We combined SSM with interviews, media content analysis and focus groups made possible by snowballing. The responses were analyzed using rich pictures and validated through a conceptual model. The results reveal a fragmented government where ministries, agencies, and personalities assert power in single window implementation through I.T. vendor contracts. The situation results in a high cost of doing business at the port for shippers due to non-transparent and questionable contracts. The public's attitude towards the controversies reflects fears, hopes and expectations and legitimate concerns about important political and social goals. Using SSMs focus on relations and attitudes, we can document how controversies attributed to new technology is not a question of technology but of perceived political interference.
Projektet gennemfører en antropologisk analyse af forholdet mellem a) smarte teknologier (fx automation, smarte algoritmer eller drone- og vision-teknologier) b) fagpersoner ombord ifm. navigation) c) fagpersoner og beslutningstagere i rederiorganisation (som bestillere af ny teknologi) og d) udviklervirksomhederne (som designere af fremtidens løsninger) for at afklare, hvilke ikke-tekniske aspekter, der skal tages højde for og hvilke nye samarbejdsformer, der er behov for, og hvordan disse understøttes organisatorisk, når nærmeste ’kollega’ for fagpersonerne ombord bliver en robot eller en automatiseret teknologi. Fokus i projektet vil være på, hvordan samarbejdet mellem medarbejder/leder og robot/drone/teknologi skal/kan organiseres, samt hvordan de nye typer ’kolleger’ vil påvirke organiseringen af samarbejdet.
This white paper shows how small and medium sized companies (SME) involved in supply chains affiliated to the maritime industry and port industrial areas are challenged by the diffusion of technologies and managerial principles associated with Industry 4.0 with a special focus on blockchain technology. Blockchain technology creates potential for added value through transparency and auditability of data flows that arise through system decentralization, where intermediary parties such as a central authority will not store data or verify transactions. Instead of conventional workflows, the technology brings new approaches to collaboration by combining multiple parties with equality of data ownership. In doing so, blockchain technology challenges conventional rules of data ownership.
While attention on blockchain technology has been increasing, most blockchain projects are still under development. However, the technology gained ground in areas such as healthcare, governance, and supply chain management. This white paper focuses on the potentials and challenges of blockchain technology in maritime related supply chains.
Based on a discussion of industry preparedness for Industry 4.0, a taxonomy of blockchain adoption is presented. The taxonomy is based on two dimensions including: (1) the digital complexity of internal activities and (2) the degree of value chain integration between actors in the supply chain. The dimensions encompass four archetypes of behavior on blockchain adoption that are applied in the following analysis.
The potential for blockchain technology is increasingly evident in supply chain logistics and manufacturing that is often located in industrial areas such as ports. By studying blockchain potentials in Danish maritime SMEs, the findings reflect the currently limited insight into blockchain technology from the point of view of business actors. As shown in the study of three Danish supply chains, containers, seafood and recirculated plastics, there are low-hanging potentials to be realized through changes to the current technologies and systems in application.
This chapter presents the latest development in digital platforms for data sharing in Maritime Informatics as discussed in chapter 1—Responding to humanitarian and global concerns with digitally enabled supply chain visibility. Specifically, we use the TradeLens digital data sharing platform as a case study to illustrate the key actors in containerised global transport and the technical set-up (including the utilisation of a hybrid cloud, permissioned blockchain, and data exchange standards), the benefits and challenges for the individual types of actors, and the overall potential and future challenges of the TradeLens platform.
The potential of data sharing platforms is dependent on the wide adoption of the ecosystem. Today, there is a high interest for the TradeLens ecosystem, and many actors have already adopted the platform, due to the vast variety of benefits it provides to all actors in global trade. Regardless, some actors seem to face internal obstacles to adopting the platform, which are either low or high technical advancement. For these actors, a paradigm shift is necessary to move from a reactive to a proactive scheme enabled by a near real-time supply and logistics data network. Finally, we discuss the challenges of network collaboration.