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The purpose of this study is to test the performance of the designed automatic control system based on the Linear Quadratic Regulator (LQR) and Linear Quadratic Gaussian (LQG) algorithms during landing of the helicopter on the ship deck. This paper is a further development of the series based on Topczewski et al. (2020).

The system consists of two automatic control algorithms based on LQR and the LQG. It is integrated with the ship motion prediction system based on autoregressive algorithm with parameters calculated using Burg’s method. It is assumed that the source of necessary navigation data is integrated Inertial Navigation System with Global Positioning System. Landing of the helicopter on the ship deck is performed in automatic way, based on the preselected procedure. Performance of the control system is analyzed when all necessary navigation data is available for the system and in case when one of the parameters is unavailable during performing the procedure.

In this paper, description of the designed control system developed for performing the approach and landing of the helicopter using selected procedure is presented. Helicopter dynamic model is validated using the manufacturer data and by test pilots, overview is presented. Necessary information about ship motion model is also included. Tests showing mission performance while using LQR and LQG algorithms applied to the control system are presented and analyzed, taking into account both situations when full navigation data is available/unavailable for the control system.

Results of the system performance analyses can be used for selection of the proper control methodology for prospective helicopters autopilots. Furthermore, the system can be used to analyze the mission safety when information about one of the navigation parameters is identified by the navigation system as unavailable or incorrect and therefore unavailable during landing on the ship deck.

In this paper, control system dedicated for the automatic landing of the helicopter on the ship deck, based on two different control algorithms is presented. Influence of lack of information about one of the navigation parameters on the mission performance is analyzed.

This paper aims to present the results from a case study that investigated interorganizational learning in a buyer and seller relationship in the context of the maritime industry. This examination emphasized unraveling how the buyer and seller in the case study interacted and transferred knowledge when using a new business model that relied on servitization. Furthermore, this paper also addresses and discusses work practices, and the relationship between intra- and interorganizational learning.

A case study entailing the introduction of digital technology and a new business model into the maritime industry was used as an empirical example of interorganizational learning. The case study was conducted over a period of over one year and focused on a buyer of freight ships and a seller of servitized technology used on the ships. The organizations involved were the ships, the shipowner’s office and the ship engine supplier. The primary data acquisition methods comprised semi-structured interviews and observations.

The case identified interorganizational learning within the organizations at the individual, group and organizational levels, but only a few learning signs could be viewed as bidirectional interorganizational learning that can create knowledge and competitive advantages for the organizations. This is explained by the interorganizational learning context and the organizations’ motivation for learning at a strategic level.

This paper addresses an identified need for empirical studies on how interorganizational learning unfolds within organizations and connects to intraorganizational learning. Interorganizational learning studies often examine partnerships and joint ventures, in which partners have entered into these relationships with learning as a specific goal. By choosing a case in which interorganizational collaboration is anchored in operational matters, the study demonstrates the importance of motivation and agenda when entering into partnerships, concerning how inter- and intraorganizational learning develops within organizations. Furthermore, approaching these levels from an interrelated and practice-oriented perspective challenges established success criteria for interorganizational learning.

This study aims to examine how cruise ship dinescapes, as a specific type of organized and staged service environment, influence customers’ attitudes, on-board behaviour, satisfaction and behavioural intentions.

Data was collected using a cross-sectional survey from 552 passengers on-board one of the big cruise ships with a Caribbean itinerary.

Cruise ship dinescape, as an on-board food experience platform, is built on three dimensions: restaurant atmospherics, interactions with other guests and restaurant staff. The findings show how these dimensions influence passengers’ emotional experiences and quality perceptions. The results also show how travellers’ cruise ship dinescape satisfaction affect their overall vacation satisfaction and future travel behaviour.

The findings imply that cruise companies should pay extra attention to organised food service environments like dinescapes staged for passengers. Through these scapes cruise companies may provide favourable platforms enabling dining satisfaction, but also social interaction and co-creation of memorable experiences.

This study builds a comprehensive model in cruise ship context, which links dinescape experiences to overall cruise ship dining experiences and dining behaviour mediated by emotional and perceived quality outcomes with further consequences.

East Asia's emergence as the forthcoming center of global manufacturing is leading nations in the region to reconsider their current and future role in the world economy. For its part, the Republic of Korea is pursuing a strategy to transform the country into the business hub of Northeast Asia. A central aspect in this strategy is the development of a regional “Pentaport” in the city of lncheon, which will consist of five components: an airport, a seaport, a business port, a technoport, and a leisure port. Hopefully, the Port of lncheon will be able to specialize in moving both coastal cargoes and transshipment cargoes to and from China and Japan using Short Sea Shipping (SSS). The first section of this paper provides an analysis of recent trade patterns between the Asian countries of the Asian-Pacific Economic Cooperation (APEC) agreement and the United States, with an emphasis on the Republic of Korea. The second part of the paper discusses current intermodal coastal shipping practices in the United States along the Gulf of Mexico and offers suggestions to the developers of Korea s Pentaport initiative; based upon observations in the United States, to maximize the likelihood of their success.

This study aims to develop a competitive dynamics model of container shipping liners, one which examines how inter-firm network embeddedness would affect inter-firm rivalry such as the likelihood of a competitive action of a focal firm and the likelihood of its rivals’ response and how the inter-firm rivalry then has an influence on the market share of the focal firm. Structural and relational network embeddedness between a focal firm and its competitors would be investigated as drivers of the likelihood of the competitive action and response. The theoretical framework on the relationship between network embeddedness, inter-firm rivalry and market share in the liner shipping industry will be developed and relevant propositions are then suggested in relation to the model. This attempt may provide meaningful insights for managers and academic researchers into the key factors which affect the inter-firm rivalry between shipping liners and may also detail the impact of inter-firm rivalry on the focal firm’s market share. This research would therefore contribute to the development of the competitive strategy of container shipping companies so as to help them strategically manage their rivals’ competitive behaviors and maximize their market share.

This paper investigates the performance assessment of liner shipping industry and presents a multi-dimensional evaluation framework to ensure both financial and non-financial monitoring. The traditional performance assessment approach is based on the financial indicators such as ratio analysis, but it is limited to the fiscal perspective. The meaning of performance has dramatically changed and non-financial (and intangible) assets increased their importance in recent years. Under these circumstances, the multi-attribute performance assessment methods play a critical role to combine many aspects of the business. Balanced Scorecard (BSC) is originally developed for the multi-attribute performance assessment and its philosophy on business process evaluation pioneered the importance of key performance indicators and the quality management issues including the internal customer. Service quality and the business performance assessment are some of the hot issues in the liner shipping industry and the long term competitiveness is a critical concern in the recent liner shipping business. The BSC method is utilized to ensure a cumulative analysis of the short/long and tangible/intangible indicators of performance and computes the weight of each criterion by using Fuzzy-AHP method in the liner shipping industry.

As the Malacca and Singapore Straits are part of the shortest route between Europe and Asia any impedance to shipping has serious commercial and strategic repercussions. What would be the consequences to tankers and container shipping if access was restricted or prevented? This issue is addressed by examining the costs of using alternative tanker routes to the Straits and the flow-on consequences of removing a mega-hub port from the container-shipping network. The analysis highlights differences between tanker shipping, where the ship itself is the prime unit of interest, and container shipping, where the door-to-door network is of paramount importance.

This systematic literature review focuses on the following future advanced information and communication technologies (ICTs) applied in the maritime transport of cargo: Internet of Things (IoT), big data, cloud computing and autonomous ships/vessels (including unmanned ships/vessels). The review question is: “RQ: In what context and by means of what mechanism does the implementation of future advanced ICTs have disruptive impact on maritime transport?”.

The paper complies with the methodological requirements of systematic reviews. The information analysis and synthesis are based on the CIMO logic, referring to the context (C), intervention (I), mechanism (M) and outcome (O) of the implementation of future advanced ICTs in maritime transport.

The review identifies the contextual factors and components of the mechanism that lead to the disruptive impact of different types of future advanced ICT interventions on maritime transport.

The review approaches only the most important future advanced ICTs that will disrupt maritime transport.

The maritime transport organizations should consider: intended outcome as intervention trigger; increased efficiency and responsiveness; benchmarking.

For the first time, the CIMO logic is applied in a systematic review focused on future advanced ICTs in maritime transport. The CIMO-DMT model is elaborated as a basis for further research. Ten directions of study are recommended in a future research agenda.

Liner connectivity plays an important role as a determinant in how a country is able to gain access to world markets. Liner shipping as the medium of seaborne transport for import and export of manufactured and semi-manufactured goods plays a significant part in international trade, which in turn potentially contribute towards the prosperity of a country and its surrounding region. Liner Shipping Connectivity Index (LSCI) is one of the most common benchmark to see how well connected a country in global trade, where it consists of five components, namely the number of ships, carrying capacity, ship size, services provided, and the number of companies that deploy container ships calling a country’s ports. This paper aims to tally from the most to the least which LSCI component contributes in improving the shipping connectivity with the most impact, in six Maritime South-East Asian countries, i.e., Indonesia, Malaysia, Philippines, Singapore, Thailand, and Vietnam. By descriptive statistics, correlation analysis, and panel data, this paper finds that the country port’s capacity to accept larger ship size provides the most significant impact towards the improvement of the connectivity in the region. To attract companies to deploy largest ship, the improvement needs to be complemented with the capacity that can meet the expected volume, offering a variety of service, and good turnaround speed at the country’s port. The paper is expected to present not only indicative recommendations on which logistics connectivity initiative needs to be invested first, but also necessary proposals to develop a programme for building the region’s overall logistics industry.

Paper Code: SLC-206

The shipper selects a suitable shipping route and plans for a voyage in order to import and export cargo on the basis of published sailing schedules. The reliability of the sailing schedule will influence the shipper’s logistics expense, which means that the logistics costs will depend on the reliability of schedules published by container shipping companies. Therefore, it is important to consider factors which can cause delays would for container ships sailing on sea routes. The reliability of published sailing schedules can be affected by a number of different factors. This study adopts the multi-criteria decision making (MCDM) method to estimate the importance of the delaying factors in a sailing schedule. In addition, the consistent fuzzy preference relations (CFPR) method is applied to identify the subjective importance (weights) of the delaying factors. The entropy weight method combined with the actual performance of the container shipping company are both used when estimating the objective importance (weights) of the delaying factors. According to the analysis results, the criteria can be divided into four quadrants with different management implications, which indicate that instructions for chase strategy, sailing schedule control, fleet allocation, transship operation arrangement and planning for ports in routes are often ignored by container shipping companies. Container shipping companies should consider adjusting their operational strategies, which would greatly improve their operational performance.