Loss Of Cargo Research Articles

Advancing greener LNG-fueled vessels: Compact simultaneous reduction system for CH4, NOX and CO2 emissions

Stringent ship regulations necessitate simultaneous emission reductions, challenged by cargo loss and energy constraints. This study proposes a compact reduction system that simultaneously mitigate CH4, NOX, and CO2 emissions onboard LNG-fueled vessels. The proposed system integrates two pivotal technologies: a metal support-based compact methane oxidation catalyst (MOC)-selective catalytic reduction (SCR) system to capture CH4 and NOX, and a cryogenic CO2 capture (CCC) system to capture and store CO2 in its solid phase utilizing LNG's cold energy. This innovative approach addresses two challenges. First, the compact MOC-SCR system employs metal support with an enhanced surface area-to-volume ratio surpassing the capabilities of ceramic support materials, achieving a volume reduction of 80.02% and 79.82% respectively. Secondly, the CCC system significantly lowers specific energy consumption by 61.54% by harnessing LNG's cold energy compared to the absorption-based CO2 capture system. As a result, the proposed system not only reduces CH4, NOX, and CO2 emissions simultaneously with a high capture rate but also reduces volume and weight. Furthermore, it achieves a high CO2 capture rate of 92.12%, while diminishing cargo losses by 25.30%. These findings provide valuable guidance for developing environmentally sustainable vessels, aligning with the continuously increasing stringency of regulations.

Pengaruh Shortage Cargo terhadap Kegiatan Transhipment Batu Bara di PT. Kartika Samudra Adijaya Site Berau

One of the most common obstacles is the difference in the amount of coal transported during the transhipment process compared to before the transhipment was carried out. This difference tends to lead to a reduction in the amount of coal (shortage cargo) which is certainly very detrimental to the recipient company which causes the transhipment process to occur more than once, thus disrupting the company's schedule and operations, resulting in the parties involved experiencing financial losses. This study was conducted to determine the influence of draught survey factors, hydrostatic table and cargo losses and how the influence of each factor simultaneously causes cargo shortages in transhipment activities, testing using comparative causal quantitative research methods using multiple linear regression data analysis techniques which were then processed using the SPSS version 23 program. The results obtained indicate that there is an influence of draught survey, hydrostatic table and cargo losses on transhipment activities and partially have an influence of 9%, 1.6% and 2.5% respectively. The variables of draught survey, hydrostatic table and cargo losses simultaneously cause cargo shortages so that it affects transhipment by 71.2%. while the remaining 28.8% is suspected to be influenced by other factors outside the research variables.

A Dynamic Scheduling Method for Logistics Supply Chain Based on Adaptive Ant Colony Algorithm

To reduce the dynamic scheduling cost of logistics supply chain and improve customer satisfaction, this paper proposes a dynamic scheduling method for logistics supply chain based on adaptive ant colony algorithm. First, determine the goal of dynamic scheduling in the logistics supply chain. Second, considering supplier satisfaction, transportation costs, and maximum delivery distance constraints, a dynamic scheduling model for logistics supply chain is constructed. Then by smoothing the pheromones and designing a transition function, adjusting factors are introduced to update the pheromone rules. Finally, based on the adaptive ant colony algorithm, the solution of the dynamic scheduling function of the logistics supply chain is solved to achieve the dynamic scheduling of the current logistics supply chain. The experimental results show that after 19 iterations, the method can search for the optimal route A1 group with a length of 33.85 km, with fewer iterations and shorter paths. The total cost is 114,290 yuan, and the degree of cargo loss is low, with a maximum of only 0.14%. The task completion time is short, customer satisfaction is above 0.85, and the scheduling accuracy is 99.9%. It can effectively control costs, improve customer satisfaction, and accurately arrange logistics supply chains.

REVIEW AND ANALYSIS OF THE MAIN DIRECTIONS ON IMPROVING THE EFFICIENCY TRANSPORTATION OF MASS CARGO BY RAIL TRANSPORT

The research found that mass cargo transportation in Ukraine plays a key role in the functioning of the economy, driving the development of many industries and ensuring the country's competitiveness in the global market.Based on the analysis of freight transportation volumes over the recent period, the main trends and factors affecting them were identified. In particular, the growth in rail freight transportation is largely due to the expansion of the sea corridor through the Danube ports. This has made it possible to export Ukrainian products to Europe and other regions of the world, which has stimulated growth in demand for rail transportation. Due to the expansion of the maritime corridor and the change in the geopolitical situation, the share of export cargo transported by rail has increased significantly. These are primarily grain, oilseeds, metallurgical products and chemicals.Induced analyzes scientific research related to the issues of improving the efficiency of mass cargo transportation by rail. Such important problems as the problem of timely provision of loading resources, delays in transportation, inefficient use of empty vehicles, loss of cargo during transportation, etc. are considered. Ways to solve these problems, which are considered in the works of scientists, include infrastructure modernization, introduction of new technologies and optimization of logistics processes.The question was raised the issue of the efficiency of using container and containerized transportation technology. Their advantages, such as reduction of time and costs for transportation, environmental friendliness, are shown, and their disadvantages are considered.The mathematical model of the movement of a container train is analyzed and the feasibility of creating dry port-type structures for optimizing the transportation of mass cargo is investigated.These researches point to the need for a systematic approach to improving the efficiency of mass freight transportation by rail, taking into account various aspects, including technological, infrastructural, logistical and organizational aspects. Such an approach will allow achieving a higher level of efficiency and competitiveness of rail transport in the transportation of mass cargo.Proposed measures for improve the efficiency of mass cargo transportation by rail: optimization of routes, increasing energy efficiency and carrying capacity of railcars, modernization of infrastructure, use of the latest technologies, optimization of loading and unloading, and improvement of safety and quality of service.

Mechanism Analysis of Smart Logistics Technology to Enhance the Logistics Efficiency of Rural E-Commerce

Abstract Under the advancement of reform and opening-up policy, the development direction of e-commerce enterprises has gradually shifted from the city to the rural areas with lower levels of economic development. This paper builds a rural e-commerce intelligent logistics system based on the Internet of Things (IoT) technology and proposes an improved ant colony algorithm to plan the optimal path of rural e-commerce logistics and distribution by mining the transfer probability of each distribution point in logistics and distribution as well as pheromone updating mechanism, so as to improve the logistics efficiency and customer satisfaction. Experiments show that the improved ACO algorithm in this paper performs significantly better than the genetic algorithm and particle swarm algorithm in logistics and distribution path planning and can control the transportation cost and penalty cost at a lower level. When considering the cargo loss of fresh products in logistics distribution, the satisfaction rate of traditional logistics distribution is only 65.2%, while the satisfaction rate of logistics distribution based on intelligent logistics technology is 87.9% on average. The distribution path planned by the ant colony algorithm has less mileage, lower cost, and higher logistics efficiency. This paper provides a feasible path for further improvement of rural e-commerce logistics efficiency, which can promote the development of the logistics industry in the direction of more intelligent, personalized, and green.

Improving resilience in an intermodal transport network via bulk cargo transport coordination and empty container repositioning

Commodities are usually transported in bulk and are associated with the risk of environmental pollution and cargo loss during intermodal transportation. This study discusses the containerization of bulk cargo with the coordination of bulk cargo transport and empty container repositioning. In such a transport network, a bulk cargo transportation company can use empty containers to load and deliver bulk cargo. We proposed models to analyze the optimal decisions regarding the number of leased empty containers under uncertain demand. We discussed three business modes to demonstrate the financial and resilience performance of bulk cargo containerization and supply chain coordination. Our results show that the trip-sharing mode can significantly increase the amount of bulk cargo containerization by reducing the transportation cost of empty containers that need to be repositioned. This model can help bulk cargo logistics companies determine the optimal number of released containers by considering profits and risk control. This study also sheds light on ways to promote supply chain resilience by incentivizing containerization and trip sharing.

An assessment of the effect of touting on Nigerian seaport operations: a case study of Apapa port

In Nigeria, touting has been a challenge in the port, as it causes loss and diversion of cargo. Therefore, this study examined the effect of touting on the operational performance of the Apapa port. Specifically, a self-administered questionnaire was distributed to determine the extent of the touting on service delivery, security measures on operational quality dependability, pilfering on operations output safety, touting influencing elements on operational reliability, and touting activities on overall performance. Hypothesis one tested to what extent touts affect the service delivery of the Apapa port. The results showed that touts and their activities have effects on service delivery at Apapa port with multiple R values of 0.826, F value of 99 degrees of freedom of 50.860, a T value of 13.611 and a p-value of 0.001 calculated, which is less than 0.05 alpha value tabulated. Hypothesis two tested to what extent touting influencing elements affect the operational reliability of the Apapa port. The results show that touting impacting elements lower the performance reliability of the Apapa port with a multiple R of 0.861, an F value of 99 degrees of freedom of 68.161, a T value of 11.028 and a p-value calculated of 0.001, which is less than 0.05 alpha value. Hypothesis three tested to what extent touting activities affect the overall operational performance of the Apapa port. The results showed that touting influenced the overall performance of the Apapa port with a multiple R of 0.831, F value of 99 degrees of freedom of 53.030, a T value of 14.387 and a p-value of 0.001. It is less than an alpha value of 0.05. The results showed a relationship between touting and operational performance. It implies that the more touting activities there are, the greater the risk and possibility of loss of cargo. In addition, the results revealed a significant relationship between touting and service delivery, security measures and operational quality dependability, pilfering and operations output safety, touting influencing elements and operational reliability, and touting activities and overall performance. The study concludes that various security measures need to be in place to stop the activities of the touts. Therefore, the study suggests the eradication of touting, proper monitoring by security operatives of operational output such as cargoes, government provision of legal menial jobs for touts, and implementing a harsh policy against touts and touting activities.

Numerical investigation of subcooled two-phase flow and heat transfer characteristics in a liquefied natural gas cargo containment system

The increase demand in liquefied natural gas (LNG) leads to an increase in the import and export of LNG cargo using LNG carriers with composite insulation and double-hull structures for membrane-type storage tanks. Therefore, the transient characteristics of cryogenic heat transfer in LNG cargo containment systems have become important for understanding the physics when LNG vaporizes into the gas phase to minimize the cargo loss of boil-off gas (BOG). However, public papers on fundamental research on long-term computational fluid dynamics (CFD) simulations are still lacking. In the present study, the transient flow behaviors of LNG fluids and the heat transfer characteristics were numerically studied by applying the simplified single-layer insulation in an LNG cargo containment system, based on an initial temperature of TLNG,0 = 110.5 K and saturation temperature of TLNG,sat = 111.5 K in the boundary condition of IGC code. The proposed analysis procedure can serve as a reference for relative comparison of predicted BOG difference in LNG cargo holds.Consequently, the heat transfer mode between the two-phase methane and the solid insulation could be typically classified into two different regimes: (1) a subcooled regime before reaching the saturation temperature from the initial temperature, and (2) a boiling regime after reaching the saturation temperature. In the subcooled regime, the subcooled liquid exhibited bulk flow motion induced by natural convection. The loss rate of LNG mass per time interval was extracted from the best-fit correlations as −0.0448 kg/s at 1 d (105 s) to cool down the insulation system and −0.0072 kg/s at 5 d (5 × 105 s) to reach the LNG saturation temperature. When the predicted value of the loss rate of LNG mass by the CFD simulation was regarded as the generation rate of boil-off gas, it was smaller than the designed value of the boil-off gas of 0.464 kg/s corresponded to boil-off rate (BOR) about 0.2 %/day. In the boiling regime and under sufficiently cooled conditions, the loss rate of LNG mass per time interval did not consistently exceed the BOR value. The liquid flow exhibited a turbulent-like motion despite the relatively low velocity at 10 d (106 s). Especially, the increase in the effective thermal conductivity was a good indicator for distinguishing between the boiling and subcooled regimes.

Cargo Business Contribution to Logistics Services at Class I Main Airport Juwata Tarakan

Shipping goods by air, goods security is actually very well maintained because security continues to use aircraft as a key factor in maintaining customer confidence in shipping goods. Therefore, cargo/goods receiving operations services through airports, including loading and unloading, transfers from aircraft to warehouses (cargo warehouses). Compiler and storage and delivery of goods to the owner, must arrive safely and everything is fine. This Study aims to describe the facts about the questions posed by the author. So that the facts and valid data facilitate the analysis of effective and efficient problem solving by the author. Items that are not neatly placed in the cage can be stepped on or subjected to shocks or friction which can result in damage. This research uses a qualitative descriptive research method, namely research that uses a case study method or approach. This research is very focused on a particular topic being studied as a case, and case data can be obtained from all parties.. In addition, the placement of scattered goods also has the potential to increase the risk of loss of cargo. can affect customer confidence so that the cargo unit should be able to maximize to complete the existing facilities at the cargo terminal of the Main Juwata Tarakan Airport Class 1. The results of this study are that air cargo has advantages compared to sea and land cargo where shipping goods using air cargo can save time and reach a wide area. Despite these advantages, there is a problem that the cargo cannot be sent because the documents listed in the SMU and the contents of the cargo are different. The need to carry out cargo handling in accordance with applicable SOPs to avoid these problems.

GM-Ledger: Blockchain-Based Certificate Authentication for International Food Trade.

Maritime transportation plays a critical role for many Arab countries and their food security and has evolved into a complex system that involves a plethora of supply chain stakeholders spread around the globe. This inherent complexity brings huge security challenges, including cargo loss and high burdens in cargo document inspection. The emerging blockchain technology provides a promising tool to build a unified maritime cargo tracking system critical for cargo security. This is because blockchains are a tamper-proof distributed ledger technology that can store and track data in a secure and transparent manner. Using the State of Qatar as a case study, this research introduces the Global Maritime Ledger (GM-Ledger), which will aid authorities in verifying, signing and transacting food certificates in an efficient manner. The methodology of this research includes reviewing past publications, identifying the requirements of various players in the Qatari food import-export industry and then creating a smart contract framework that will efficiently manage the work with necessary human intervention as and when required. The result of this work is the formation of a solid framework that can be employed in future works. This work realized that employing web3 solutions for the food import sector is highly viable and that with the right social, economic and policy reforms, it is possible to transform the entire food system to bear healthy transparency and power balance in global supply chains. In conclusion, this study argues that BCT has the ability to assist the government and other players to minimize fraud and maximize food supply chain stakeholder participation.

Detachable-dissolvable-microneedle as a potent subunit vaccine delivery device that requires no cold-chain

Although vaccine administration by microneedles has been demonstrated, delivery reliability issues have prevented their implementation. Through anex vivoporcine skin experiment, we show visual evidence indicating that detachable dissolvable microneedles (DDMN) can deposit cargo into the dermis with insignificant loss of cargo to the stratum corneum. Using ovalbumin (OVA), a model antigen vaccine, as a cargo, theex vivoexperiments yielded a delivery efficiency of 86.08 ± 4.16 %. At room temperature, OVA could be stabilized for up to 35 days in DDMN made from hyaluronic acid and trehalose. The DDMN matrix could improve the denaturation temperature of the OVA from around 70–120 °C to over 150 °C, as demonstrated by differential scanning calorimetric analysis. In vivodelivery of OVA antigen into the mice's skin via DDMN elicited 10 times higher specific antibody responses compared to conventional intramuscular injection. We envision DDMN as an effective, precise dosing, intradermal vaccine delivery system that may require no cold-chain, offers a dose-sparing effect, and can be administered easily.

Mathematical modeling in the application to the rationale for the innovative development strategy of the company Liliani

The article classifies organizational measures for carrying out work in the agro-industrial complex, determines the objective function, which is a combination of these activities, shows ways to increase the values of the objective function using the example of loading and unloading when using an innovative scientific approach that minimizes time costs by reducing the loss of cargo when determining the optimal combinations of storage systems or loading components, taking into account their dimensions.

Experimental method of determining bulk cargo losses quantitative characteristics during grappling overload

The proposed experimental method of determining the losses of bulk cargo prone to dust formation allows, based on model researches results, to predict the bulk cargo losses amount when working with a grab in real conditions of cargo operations. The article presents developed by the authors experimental equipment, which makes it possible to obtain physical models of cargo scooping and unloading the grab processes, during which the most intense dust formation and the maximum losses amount of the reloaded cargo occur. In addition, the methods of using the specified experimental equipment are given, which provide for the determination of losses quantitative characteristics when using full-scale bulk cargo in researches, which is permissible under certain model parameters. Also, the methods provide for the possibility of determining the wind action speed influence on the amount of cargo losses from dusting, therefore, the researches were carried out in two stages - both in the absence of wind action during the grab operation, and in its presence. The range of wind impact velocities ranged from 0 to 10 m/s. As a result of processing modeling researches results, mathematical models of losses amount of a number of bulk cargoes during grappling overload considering wind impact were obtained.

Lifetime assessment for container vessels

This study presents novel reliability-based technique, being especially useful for lifetime assessment of multi-dimensional dynamic systems, consisting of cross-correlated components, that have been either measured, or numerically simulated over representative time span. This study has potential applications within wide range of marine structural systems design, where reliability analysis is required. As demonstrated in this study, it is possible to accurately forecast risks of a system failure due to excessive structural responses. Furthermore, time series-based traditional reliability techniques do not always manage system's high-dimensionality, along with complex cross-correlations between different system components. When sailing in harsh weather, cargo ships are exposed to structural damage risks, this study used operating cargo vessel as an underlying example. Another serious safety concern for modern ship trans-Atlantic navigation is the potential loss of cargo, due to the ship's violent movements. Simulating such a situation is quite challenging, due to waves and ship motions being both non-stationary and highly nYar. Validity of laboratory tests may also be questioned, hence, on-board data, gathered from actual cargo ships during their trans-Atlantic voyages, under realistic storms gives a unique research opportunity.Novel Monte Carlo based multi-dimensional reliability method, based on-board measurements is presented in this study. Advocated methodology can be applied to a large variety of complex sustainable marine systems, that are designed to endure environmental loadings for the entire length of their planned service life. This study's approach offers the opportunity to robustly and accurately evaluate operational risks of an entire nonlinear multidimensional dynamic system.

Rancang Bangun Prototipe Alat Keamanan Penjarahan pada Truk Bermuatan dengan menggunakan Sensor Pir Berbasis Arduino dan IoT

Looting is a serious crime that threatens the safety and integrity of the truck's cargo, which can lead to financial loss and even threaten the safety of the driver and crew. To overcome this problem, this study focuses on developing a theft warning system using advances in Internet of Things (IoT) technology and smart devices. The prototype was built using a highly sensitive PIR sensor as a motion detector around the truck. The data from the PIR sensor is then processed by the Arduino Uno, which acts as the brains of the system, and through the HC-05 Bluetooth connection, alarm and vibration messages are transmitted to the user's smartphone drive. This allows drivers to react quickly and be on the lookout for or notify authorities of the possibility of looting. With the successful development of this alarm system, it is hoped that it can improve the level of security in the trucking industry and reduce the risk of cargo loss due to looting. Moreover, the success of this study also has a positive contribution to the application of IoT technology to improve safety in the field of transportation and logistics.

Coal Transport Through The Conveyor Belt: Literature Study Of Process And Supporting Factors

Transportation through sea transportation modes can be carried out to the side of the port and transported further by trucking mode or by other transportation systems, namely using a conveyor belt or belt conveyor that will deliver the cargo directly to the stockpile field or other places. A belt conveyor is a device that delivers bulk cargo to the destination of shelter or stacking. Transportation of one of the loads, namely coal using a conveyor belt by unloading the cargo using a crane to insert the cargo into the conveyor belt. Based on literature studies and field observations from research related to belt conveyor operations, supporting factors for the smooth operation of conveyors include belt width on the belt conveyor, type of idler, angular accuracy, gearbox speed, and density of each load. In addition, periodic maintenance and maintenance factors can reduce the risk of obstacles related to belt conveyor operations, including belts that suddenly jam, and loss of cargo (losses) causing losses and fines. Periodic maintenance and maintenance should be outlined in the Planning Maintenance System which must be complied with and needs to be supervised for implementation. Periodic audits are important to carry out the fulfillment of procedures in the field and checks on the condition of the equipment to minimize losses due to damaged equipment.

Anomalous Behavior Detection with Spatiotemporal Interaction and Autoencoder Enhancement

To reduce the cargo loss rate caused by abnormal consumption behavior in smart retail cabinets, two problems need to be solved. The first is that the diversity of consumers leads to a diversity of actions contained in the same behavior, which makes the accuracy of consumer behavior identification low. Second, the difference between normal interaction behavior and abnormal interaction behavior is small, and anomalous features are difficult to define. Therefore, we propose an anomalous behavior detection algorithm with human–object interaction graph convolution and confidence-guided difference enhancement. Aiming to solve the problem of low accuracy of consumer behavior recognition, including interactive behavior, the human–object interaction graph convolutional network is used to recognize action and extract video frames of abnormal human behavior. To define anomalies, we detect anomalies by delineating anomalous areas of the anomaly video frames. We use a confidence-guided anomaly enhancement module to perform confidence detection on the encoder-extracted coded features using a confidence full connection layer. The experimental results showed that the action recognition algorithm had good generalization ability and accuracy, and the screened video frames have obvious destruction characteristics, and the area under the receiver operating characteristic (AUROC) curve reached 82.8% in the detection of abnormal areas. Our research provides a new solution for the detection of abnormal behavior that destroys commodity packaging, which has considerable application value.

Discovering maritime-piracy hotspots: a study based on AHP and spatio-temporal analysis

Shipping is the backbone of international trade and oil companies want their oil tankers to arrive safely. The safety and security of international shipping of crucial elements such as oil has always been important aspect in the landscape of piracy. The implications of piracy attacks are linked with loss of cargo or personnel, economic and environmental catastrophe. Despite maritime piracy being a major concern to international trade, no comprehensive study considers the causing factors and spatio-temporal patterns that influence the choice of attack areas. Thus, this research expands our understanding on the areas where piracy mainly occurs, and its underlying causes. To achieve these objectives, AHP and spatio-temporal analysis applied by using data from the National Geospatial-Intelligence Agency. The results indicate that territorial waters are preferable areas; thus, pirates prefer to attack the ships close to the coastline fewer times near ports, and rarely in international waters. This is in line with the spatio-temporal analysis results that show that pirates except for the Arabian sea prefer to hit close to the coastline of countries that face political instability, lack of properly functioning government and extreme poverty. Moreover, pirates in certain areas are influenced by the activity and the information from other pirates, which can be used as tool from the authorities e.g., derive information from pirates that have been arrested. Overall, this study contributes on the literature of maritime piracy, and it could be used to enhance security and build tailored defense strategies in perilous water areas.

Risk-Based Hybrid Light-Weight Ship Structural Design Accounting for Carbon Footprint

The study aims to develop an integrating risk-based formulation and cost-benefit analysis for identifying an optimal ship hull structural design solution where the steel cargo holds aluminium honeycomb sandwich panels to replace inner side shells. The risk of progressive structural failure includes hazards related to environmental pollution due to accidental fuel and oil spills, possible loss of cargo, crew members and ship during operations, and air pollution during shipyard construction and ship voyages. The structural failure incorporates progressive time-dependent structural degradation coupled with ship hull load-carrying capacity in predicting structural integrity during the service life. The ship hull structural failure and associated risk are estimated over the ship’s service life as a function of the design solution. The carbon footprint and cost to mitigate the impact for the entire steel and hybrid ship hull structural solution implemented as a sustainable life cycle solution are analysed where the steel ship hull structure is built through primary construction. The cost of structural measures accounts for redesigning the ship structure and implementing aluminium honeycomb composite panels instead of steel plates, reducing steel weight, environmental pollution and cost and increasing the transported cargo and corrosion degradation resistance. It has been found that design solutions AHS1 and AHS2, in which aluminium honeycomb panels replace the inner steel shell plates, enhance the corrosion degradation resistance, and reduce the ship hull’s lightweight, reflecting a better beta-reliability index at the time of the first repair with a lower repair cost and more transported cargo. The cost of the ship associated with the design solutions AHS1 and AHS2 is about 11% lower than the steel solutions.

Novel methods for reliability study of multi-dimensional non-linear dynamic systems

This research presents two unique techniques for engineering system reliability analysis of multi-dimensional non-linear dynamic structures. First, the structural reliability technique works best for multi-dimensional structural responses that have been either numerically simulated or measured over a long enough length to produce an ergodic time series. Second, a novel extreme value prediction method that can be used in various engineering applications is proposed. In contrast to those currently used in engineering reliability methodologies, the novel method is easy to use, and even a limited amount of data can still be used to obtain robust system failure estimates. As demonstrated in this work, proposed methods also provide accurate confidence bands for system failure levels in the case of real-life measured structural response. Additionally, traditional reliability approaches that deal with time series do not have the benefit of being able to handle a system's high dimensionality and cross-correlation across several dimensions readily. Container ship that experiences significant deck panel pressures and high roll angles when travelling in bad weather was selected as the example for this study. The main concern for ship transportation is the potential loss of cargo owing to violent movements. Simulating such a situation is difficult since waves and ship motions are non-stationary and complicatedly non-linear. Extreme movements greatly enhance the role of nonlinearities, activating effects of second and higher order. Furthermore, laboratory testing may also be called into doubt due to the scale and the choice of the sea state. Therefore, data collected from actual ships during difficult weather journeys offer a unique perspective on the statistics of ship movements. This work aims to benchmark state-of-the-art methods, making it possible to extract necessary information about the extreme response from available on-board measured time histories. Both suggested methods can be used in combination, making them attractive and ready to use for engineers. Methods proposed in this paper open up possibilities to predict simply yet efficiently system failure probability for non-linear multi-dimensional dynamic structure.