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Article

Scissors Approach in Human and Equipment Reliability Vis-A-Vis the Use of Alternative Fuel in Ship Propulsion

1
Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, 100 Montrose Street, Glasgow G4 0LZ, UK
2
Europe-Korea Marine and Ocean Engineers Association (EKMOA), 90 Cowley Close, Southampton SO16 9WE, UK
3
Division of Coast Guard & Marine Engineering, Mokpo National Maritime University, Mokpo 58628, Republic of Korea
*
Author to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2025, 13(8), 1580; https://doi.org/10.3390/jmse13081580
Submission received: 18 June 2025 / Revised: 7 August 2025 / Accepted: 8 August 2025 / Published: 18 August 2025
(This article belongs to the Section Ocean Engineering)

Abstract

This project looks deeply at the integration of human and equipment reliability in hydrogen bunkering operations, focusing on human corrective response actions (HCRAs) to unwanted events in the process. Human responses are also actions shaped by human performance thereby not totally devoid of human error. The possibility of the occurrence of accidents even when both personnel and equipment are reliable draws great attention to examine human responses to occurrences in the bunkering process of hydrogen. The Cognitive Reliability and Error Analysis Method (CREAM) is adopted alongside equipment reliability data from the maritime industry to assess the connection between system performance and human decision-making in the bunkering operation process. The findings show that enhanced equipment reliability significantly improves human corrective responses, leading to great operational efficiency. This study proposes an integrated reliability framework to optimize hydrogen bunkering procedures vis-à-vis an enhanced safety response, providing recommendations for improving safety regulations, and necessitate operator training, equipment management, and risk mitigation approaches. By ensuring industrial compliance and enhancing overall reliability in ship propulsion, these insights contribute to the use of hydrogen as an alternative fuel in the maritime sector for ship propulsion.

1. Introduction

1.1. Background

With the maritime embrace of the use of alternative fuels to ensure ecosystem sustainability to reduce carbon emissions, hydrogen has emerged as a promising solution for ship propulsion. However, the adoption of hydrogen bunkering operations places a lot of safety and reliability challenges.
Challenges are due to cryogenic storage needs, high flammability, explosion risks, leakage and diffusion, and compatibility of materials and equipment, as well as human factor risks, a lack of standard operating procedures, environmental and regulatory challenges, and pipeline and transfer risks.
Hydrogen has a wide range of flammability, increasing the risk of fire and explosion, and low ignition energy. Being a cryogenic liquid kept at an extremely low temperature poses dangers of frostbite and equipment failure. The safety challenges are not necessarily the production or the end-point use but the storage [1], which greatly concerns the bunkering system.
The investments in hydrogen pipelines for a given diameter are up to two times higher than those for Liquefied Natural Gas (LNG) pipelines [2]. Upon close consideration, because of the physical and chemical properties of hydrogen, the pipelines must be made of non-porous, high-quality materials such as stainless steel.
In the vein of bunkering procedures, clear procedural paths for its bunkering operation, step by step, have not been studied, raising a lot of uncertainties. There are several challenges in the bunkering of hydrogen, starting from the bunkering infrastructure; it is important to establish bunkering infrastructure to handle hydrogen, including storage facilities.
In the same vein, hydrogen is highly flammable, which can lead to combustion and possible explosions if not carefully handled. Considering its embrittlement nature also poses danger to maritime equipment, ranging from pipelines and storage tanks to avoid leakage.
The careful demand in the handling of this promising new alternative fuel (hydrogen) with a lot of safety issues requires high human cognitive reliability in its bunkering operation to bring it onboard. This careful handling, complex decision-making, need for situational awareness, and unexpected system failures makes CREAM the most suitable HRA method for the analysis.

1.2. Current Issue

The interesting goal set by the International Maritime Organization (IMO) for reducing greenhouse gas emissions from shipping advocates extreme measures by all relevant stakeholders [3]. Green hydrogen becomes a great interest for a cleaner environment as an alternative to fossil fuels. It is far more promising compared to other alternative fuels in the maritime industry for ship propulsion systems [4]. It will become the 21st-century version of oil [5].
To ensure the efficient and safe operation of the bunkering process of hydrogen, the reliability of both bunkering equipment and human operators becomes monumental. While technological advancement has improved safety, the reliability of both equipment and human corrective response as an intervention to uncertainties and unwanted situations remains important.
Existing studies have focused primarily on either equipment reliability or human reliability, without consideration of their integrated effects on the overall safety performance of the hydrogen bunkering process. Current risk assessment models lack a clear approach that considers human corrective response to unwanted events that integrate human and equipment reliability, leaving a gap in the hydrogen bunkering process.
This study aims to analyze human corrective response to uncertainties in the hydrogen bunkering process and assess how equipment reliability influences human response decision-making. We develop an integrated reliability framework to enhance the hydrogen bunkering process and provide practical recommendations to improve operational efficiency.

1.3. CREAM

These corrective responses to uncertainties are cognitive in nature; therefore, there is a need to use a human reliability assessment method that marries the interest of human decision-making. First-generation human reliability analysis (HRA) methods often focus on mechanical tasks and procedural errors. However, the hydrogen bunkering process involves complex decision-making and cognitive workload management, calling for the CREAM HRA method as the most suitable strategy. The bunkering process involves real-time decision-making in response to uncertainties such as sudden and unexpected system failures. The CREAM looks at how human cognitive functions influence responses to uncertainties, where operators must respond dynamically to changing conditions in a changing environment.
The Cognitive Reliability and Error Analysis Method (CREAM) brought into the HRA industry is extensively used for identifying human error, supporting the regulatory framework, and enhancing crew performance [6]. This method focuses on task analysis, error reduction, and human performance [7].
Human error has been an extensive contributing factor to marine accidents, posing a high level of risk to operational integrity in the nuclear industry [8,9]. In the same vein of discussion, it will be interesting to note that human reliability analysis (HRA) has panned out to be so useful in extenuating human errors [8].
Several human reliability analyses have been carried out using the Cognitive Reliability and Error Analysis Method (CREAM) to examine the likelihood of human errors that are cognitive in nature, considering the context of operations in complex industrial cycles [6]. The CREAM human reliability assessment has widened its application to different industrial environments. In the maritime industry, its application has been adopted for operational efficiency and risk reduction. To improve the reliability of maritime transportation, a reliability analysis model was proposed using CREAM and a decision-making model [10]. In further instances, detailed human reliability analysis was carried out for the operational process of cargo oil pumps on tanker ships using a fuzzy-CREAM extended Bayesian Network to calculate human error probability [11].
Application of the CREAM framework was also conducted in emergency responses to engine room fires to evaluate specific scenarios associated with human error probability onboard shipping operations [12]. The objective interest is to see how human reliability on board the ship during operations can be enhanced. In an in-depth analysis, the CREAM was used for productive quantification of human error probability (HEP) for an LNG bunkering operation, integrating the Fuzzy Bayesian Network to indicate HEPs by means of on-site safety philosophical factors [13]. A weighted CREAM model for maritime human reliability analysis substantiated with axioms in a case study of an oil tanker was considered [8].
The CREAM HRA can be used both retrospectively and prospectively in its analysis, which evaluates the performance of the operator. It has four control modes and identifies cognitive functions like execution, planning, interpretation, and observation: The strategic control mode (long-term objectives and high-level planning), the tactical control mode (standard procedures and rules in carrying out a task),the opportunistic control mode (performing actions based on immediate intimation without much planning), and the scrambled control mode (often leading to errors due to unorganized chaotic response to an occurrence or situation). In addition, the CREAM has both Basic and Advanced versions in its analysis on a particular operation, giving room for better cognitive decision-making inclusive of context influence on human reliability.
The human element has often functioned as a safety adaptive agent in response to the occurrence of accidents or incidents in any industrial environment [14]. Human actions were the element of rescue that brought the situation under control during the blackout of Viking Sky in Hustadvika, Norway [15]. This is a clear indication that humans can be a positive safety tool to respond to unwanted situations if their capabilities are enhanced.

2. The Contribution of This Paper

The study will generally contribute to the enhancement of maritime safety vis-à-vis the use of alternative fuels in ship propulsion, focusing on the human corrective response to uncertainties and integrating human reliability assessment with equipment reliability. A developed and robust human–equipment reliability framework by applying the Cognitive Reliability and Error Analysis Method (CREAM) was used to assess human reliability in cognitive response to uncertainties within the bunkering process and to critically examine how the best equipment reliability influences human decision-making.
This paper will bridge the research gap by addressing the lack of studies on the interaction between human corrective actions and equipment reliability in the hydrogen bunkering process, creating platforms for improving training, contributing to policy development, and regulations. This study will also enhance resilience, ensuring that both human and equipment work together to mitigate uncertainties and risks.
The overall impact of this is to provide empirical data and recommendations for policy makers and maritime stakeholders in the hydrogen bunkering process.

Hydrogen Bunkering Procedure

Proper procedural steps will greatly enhance safety during the bunkering operation of hydrogen. One of the greatest risks in hydrogen bunkering is leakage, which can be caused by equipment fault, operational fault, and procedural fault [16]. The loading of hydrogen into a fuel tank to be used onboard the ship for propulsion is different from the loading of HFO because it can be influenced by both temperature and pressure changes. Hydrogen is a cryogenic liquid at a temperature of about (−253 °C), making it highly brittle if it encounters equipment or personnel unsafely. Its storage in tanks and transportation through pipes and hoses posed a great risk to safety.
However, hydrogen embrittlement can be prevented using proper material selection and better welding techniques on the technical requirements of engineers [17].
Hydrogen may share some similarities with that of LNG in general areas of bunkering operation, but when it comes to filling, the situation is different because of the smaller molecules of hydrogen. These smaller molecule sizes of hydrogen place a high potential for leakage. Therefore, there is a need to be more cautious, considering ship-to-shore bunkering operation.
Figure 1 indicates the sequential step-by-step process of the hydrogen bunkering operation, discussing the transferring of hydrogen fuel to be used on a ship. However, the interest of this study is to carry out human reliability analysis on human corrective response actions. The operational procedures will benchmark for human corrective response actions.

3. Methodology

This study is described as a scissors approach as a metaphoric concept of considering the reliability of both human and equipment jointly in response to uncertainties. Scissors have two blades to cut and groom. Using scissors as a metaphor emphasizes that both equipment and human reliability are interdependent in the hydrogen bunkering operation and even in response to uncertainties.
The methodology of this study follows a suitable step-by-step approach.
The first step is to identify the possible incidents/accidents that might occur during the hydrogen bunkering operation. The next step is to critically look at, if such an incident occurs, what will the response of personnel be? The overview of the methodology is considered below:
Figure 2 is a flowchart to address human response to uncertainties in hydrogen bunkering by analyzing both human response actions and equipment behaviour, quantifying their individual and combined reliability, applying corrective measures based on data-driven insights, and ensuring a feedback loop for ongoing safety and performance enhancement. The integrated approach is critical for hydrogen operations, where both human judgement under pressure and equipment integrity under extreme conditions must be highly reliable, where response to uncertainties is a vital aspect to enhance safety in critical maritime operations.

3.1. Marine Case

The approach of the study is firstly to consider a marine case based on global maritime needs. This time, the hydrogen bunkering operation was of the greatest interest because of the global maritime need to decarbonize emissions from ships. The shipping industry alone accounts for approximately 2–3% of global gas emissions [18]. Contributing to the safe handling of hydrogen will enhance its use as a marine fuel due to the promising nature of hydrogen compared to other alternative fuels. It will be a great breakthrough in the maritime industry if hydrogen is safely used as a fuel for ship propulsion. There are several reasons of importance for considering hydrogen bunkering as a case study. It is a very promising emerging fuel, contributing to infrastructural development, enhanced safety regulations, technological innovation, and enhanced economic and operational feasibility.

3.2. Problem Definition

This phase clearly involved identifying safety challenges faced in the hydrogen bunkering process. The problem definition clearly outlines key challenges faced during the operation and is important for a detailed task analysis. This picture is of safety concerns, storage and transportation, environmental impact, and creative insights in response to uncertainties. Clearly defining the problem will improve the hydrogen bunkering process. A study was conducted to gain deep knowledge into risk levels associated with the bunkering operation of LNG and LH2, quantifying potential risks such as explosion and fire [19]. Cautious safety precautions must be adhered to during bunkering operations to prevent such risks. In addition to this, a human reliability analysis to establish a safe ship-to-ship bunkering operation was carried out under D-S evidence fusion HEART [20].

3.3. Task Analysis

A proper task analysis was carried out to break down the hydrogen bunkering operation into steps where potential uncertainties may arise, such as leaks. From the task analysis, possible human corrective actions in response to identified uncertainties were developed. The task analysis also helps in optimizing safety standard operating procedures, which leads to better decision-making. The first step was to develop the procedure for the hydrogen bunkering operation, and later, to critically look at the possible human response to such uncertainties in each node. This enhances response decision-making.
Figure 3 outlines a logical flow of human decision-making during hydrogen bunkering.
  • Operational Procedures of a Task: This represents the standard operating procedures (SOPs) involved in hydrogen bunkering: Connecting and disconnecting fuel lines, pressure and leak checks, ventilation protocols, and emergency shut-off readiness. These procedures are predefined and should be followed strictly by operators. A clear understanding and execution of tasks reduces human error and enhances safety.
  • Identifying Potential Uncertainties: Here, operators must recognize possible deviations or unexpected conditions during the operation, such as the following: Sudden pressure drops or surges, the detection of minor hydrogen leaks, sensor malfunctions, or alarm failures. These uncertainties might not indicate immediate danger but can escalate if not managed. Early identification allows pre-emptive responses rather than reactive crisis management.
  • Possible Human Corrective Responses: Based on the identified uncertainties, trained personnel may adjust the flow rate or pressure, pause or stop the operation, isolate a section of the system, initiate an emergency shutdown, notify the control room, or initiate evacuation if required.
The task analysis creates a better pathway to understand and deduce the corrective human responses, leading to the creation of a safety table showing possible human corrective responses to uncertainty such as leaks. The safety table can be expanded further to include more possible human corrective interventions. Structuring a safety table can provide systematic risk identification, enhanced decision-making, easy response time, and the proactive management of uncertainties.
Table 1 gives an overview of the possible operational steps in the bunkering process, identifying possible human actions and human corrective response actions. The human corrective actions are possible human responses to restore the bunkering process to an operational state if any unwanted incident occurs.
Table 2 is part of Table 1; it is an overview of the possible causes, consequences, and most importantly, possible human corrective response actions during the bunkering operation of hydrogen. These tables give room for the inclusion of more possible human corrective response actions.

3.4. Human Error Analysis

This was to critically look at the points of possible human errors in the hydrogen bunkering operation. The point of interest is to identify possible human errors in the human corrective responses. A proper human error analysis was carried out involving maritime experts with more than 10 to 15 years of working experience onboard the ship as crew. To ensure a proper analysis of the hydrogen bunkering operation and human response to actions to uncertainties, the CREAM HRA was adopted with the use of eight maritime experts in the study, amongst whom are five maritime officers in key roles such as Captains of a ship, Chief Engineers, and Chief Officers. Their in-depth experience helps in analyzing the bunkering operation. They also help in identifying sub-tasks and common performance challenges. Additionally, three certified human reliability analysis experts helped in this study, with specified knowledge on the application of CREAM methodology. They systematically contributed to the interpretation of control modes and clearly rated the common performance conditions (CPCs). The whole process was achieved through diverse expert workshops, semi-structured interviews, and visiting maritime companies. Detailed operational insights about the bunkering operation were provided by the experienced onboard maritime experts while the HRA practitioners supervised the use of the CREAM.
Identifying human involvement in the operation: First, applying a CREAM which is a second-generation HRA method, in identifying possible human errors during human corrective actions. Thereafter, gathering data on equipment reliability from standardized maritime industries. Secondly, integrating marine equipment reliability data into the human error probability values, and from there, drawing possible conclusions and possible recommendations.

3.5. The Screening Phase

Screening was performed in the task analysis to identify high-risk decision points in the cognitive human response to uncertainties during the hydrogen bunkering process. Points where the emergency shutdown system is employed become very vital areas to pay serious attention to; in other words, where more human errors are likely to occur. This creates a platform to ensure that the safety-critical task receives the most attention. The screening phase, in a nutshell, supports detailed proactive cognitive responses in a situation of the occurrence of uncertainties. The screening creates a pathway to quantify possible human errors. It is like a stethoscope, used to map out possible human errors where they are more likely to occur. This guides quantification.

3.6. Quantification

To quantify human error during cognitive responses, the application of the Cognitive Reliability and Error Analysis became so useful. The CREAM is solely applied to the response actions, not to the operational procedure of the bunkering operation.
By quantifying the human error in the response actions, it better estimates the likelihood and impact of potential failures. This gives room for accurate prediction and proactive risk management.
The following parameters were used in their abbreviated form for mathematical representation in this study:
CFP: Adjusted cognitive failure probability (modified estimate of the likelihood that a person will experience a cognitive failure while performing a task).
ERDo: Nominal equipment reliability data (quantitative or qualitative information that describes how reliable a piece of equipment is over time).
EFP: Adjusted equipment failure probability (the probability or chance that a specific piece of equipment will fail to perform its intended function within a given time frame).
HCMs: Human corrective measures (actions taken by humans—operators, technicians, or supervisors—to correct, mitigate, or recover from abnormal or unsafe situations in a system or process).
CFPo: Nominal cognitive failure probability (probability that a human will experience a cognitive failure while performing a specific task under standard or ideal conditions).
W.F: Weighting factor (used to adjust cognitive or equipment failure probabilities based on influencing conditions).
MTBF: Mean time between failure (average time elapsed between one failure of a system or piece of equipment and the next failure during normal operation).
MTTF: Mean time to failure (used for non-repairable items; unlike MTBF, which applies to repairable systems, MTTF is for devices or parts that are replaced after failure rather than repaired).
TCPC: Total influence of CPC on cognitive functions (combined or overall effect that CPC has on cognitive functions).
FFP: Final failure probability (overall probability that a system, component, or process will fail after considering all relevant factors and adjustments).

3.7. Human Error Probability (HEP)

The human corrective response involves a more cognitive nature. The human error probability phase clearly explains in detail how the response involves elements of human error probability. The cognitive failure probability (CFP) is a subset of human error probability (HEP). However, the human cognitive response actions are directly married to cognitive reliability, involving reacting to dynamic and interpreting complex situations, a better thinking process, reasoning, and judgement in the response actions during uncertainties in the hydrogen bunkering operation. This links the quantification phase to the cognitive interpretation of the response actions of the hydrogen bunkering operation.

3.8. Collection of Data from the Maritime Industry

Conducting of interviews and surveys and organizing of expert panel discussions were carried out. Gathering data from standard maritime organizations to understand detailed information about the bunkering process was performed using the LNG bunkering process as a benchmark. A map of expert stakeholders, such as operators, engineers, maritime crew, and regulatory authorities, to ensure comprehensive coverage was created. The specialized knowledge possessed by the maritime experts in ship operations provides insights into a better understanding of the bunkering process.

3.9. Application of Statistics to Determine the Failure Rate of Equipment

This is to determine the failure rate of the critical equipment used in the human corrective response to uncertainties during the bunkering process of hydrogen, giving room to proper predictive maintenance by focusing on equipment with higher failure risks, and understanding how equipment functions is a better way to manage it. The collection of historical data from maritime organizations concerning the failure rate of equipment during the bunkering process was performed. Descriptive statistics to calculate the Mean Time Between Failures (MTBF), Mean Time to Repair (MTTR), Failure Frequency, and rate. Also, the failure rate estimation, can be expressed as Failure rate = Number of failures/Total operating time:
λ = n / T
where
λ = Failure rate;
n = Number of failures;
T = Total operational time.
Also, to determine the average time between the consecutive failures of this equipment, we consider the Mean Time Between Failures (MTBF).
MTBF = Total Operating Time/Number of Failures
A higher MTBF shows greater reliability and a lower MTBF shows frequent failures. This will guide in the maintenance activities of the whole system.
The relationship between the MTBF and the failure rate gives an overview of predicting and improving the performance of human response to any uncertainties during the bunkering operation. This relationship is mathematically defined as
λ = 1 M T B F
Here, MTBF represents the average time between two consecutive failures for repairable systems or equipment. For non-repairable systems, this metric is referred to as Mean Time To Failure (MTTF), indicating the average operational time before failure.
The failure rate (λ), expressed in failures per hour, reflects the constant likelihood of failure over time for systems that follow an exponential distribution of failures.
Understanding this relationship supports the broader concept of reliability, particularly in the context of safety and risk mitigation during bunkering operations. This includes aspects such as system design and redundancy, equipment maintenance, and response planning.
The reliability function, denoted as R(t), describes the probability that a system or component will perform its intended function without failure up to time, t. It is defined as
R t = 1 F ( t )
where F ( t ) is the cumulative distribution function representing the probability of failure by time t . Thus, reliability is interpreted as one minus the probability of failure.
Further analysis was conducted using reliability data obtained from standard maritime industry sources, aligning with the above reliability functions to evaluate and improve system response effectiveness during bunkering operations.

3.10. Integrating the Cognitive Failure Probability with Equipment Reliability

This was the aspect of the study where both human and equipment functions were considered together in response actions during the bunkering operation of hydrogen. A decrease in the probability of cognitive failure is an increase in human performance. To enhance human performance in cognitive human actions, it was necessary to integrate equipment reliability. The weighting factor differentiates the impact of the various CPCs on human reliability; considering the same impact on equipment reliability, we could have a final reliability value as
F i n a l   S u c c e s s   P r o b a b i l i t y = 1 C F P × ( 1 E F P )
F i n a l   F a i l u r e   P r o b a b i l i t y = 1 ( 1 C F P × 1 E F P )
where (1 − CFP) is the probability that the human operator makes no cognitive error and (1 − EFP) is the probability that the equipment works as intended, meaning the equipment does not fail.
The combination of the two indicates that both the equipment and the human operator work successfully in the operation without failure. Their product gives better risk management as organizations will focus their attention on looking out for both human and equipment more intentionally.
There is no ideal human, and equipment does fail as well. Also, the relationship between the operational time of each piece of equipment and of reliability can be determined using reliability functions, assuming a constant failure rate:
R ( t ) = e λ t
where R(t) is defined as the reliability at time, t. Lambda defines the constant failure rate, regarding failures per unit time, and t is the operational time.
Using equipment reliability data from the maritime industry and failure rate, the operational time can also be mathematically calculated, assuming a constant failure rate, placing the target on a particular level of reliability:
t = ln ( R ) / λ

3.11. Application of More Corrective Actions

Further corrective actions were carried out to further reduce any identified errors both on equipment and human involvement. This gives room for continuous monitoring to improve the overall system, such as continuous routine checks, implementing preventive maintenance after a rescue mission. The whole process can serve as quality assurance and documentation for both industrial output and stakeholders.

4. Case Study

4.1. Application of the CREAM HRA to the Human Corrective Actions of the Hydrogen Bunkering Operation

The Basic CREAM is applied in determining the control mode of the operator. The contextual influence index provides a structural way of evaluating the common performance conditions on the mode of the operator quantitatively.
Determining the weighting factor will help to identify the total influence of CPC on the cognitive functions (TCPC) of the operational task, placing humans as the major decision-makers for other human(s) and equipment involved in the process. The same weighting factor is applied to equipment reliability data to evaluate the whole operation. Weighting factor (W.F) = Total influence of CPC on cognitive functions (TCPC).
W . F = T C P C
Applying the extended CREAM is performed to determine the cognitive failure probability (CFP), which is considered the human error probability (HEP) in the CREAM. Cognitive failure probability is the weighted factor.
C F P = W . F × C F P o
E F P = W . F × E R D o

4.2. Event Sequence of the Human Corrective Measures of the Hydrogen Bunkering Process

  • Replace the hose assembly.
  • Properly label the inert gas line and hoses.
  • Activate the emergency shutdown system (ESD).
  • Identify and repair the source of the leak.
  • Replace faulty lighting, gauges, and indicators.
  • Determine the maximum filling limit of the tank.
  • vii. Complete a planning stage checklist.
Figure 4 provides a simplified but essential framework showing that human reliability in hydrogen bunkering depends not just on task execution, but on the ability to
Detect deviations → Evaluate them → Respond appropriately.
This sequence feeds into broader human reliability analysis (HRA) and supports the development of risk mitigation strategies and corrective procedures in hydrogen-fueled maritime systems, giving room for more inputs to enhance safety.
Table 3 is developed as a goal-oriented safety table that outlines procedural steps aimed at improving human reliability in hydrogen bunkering operations. It is specifically structured to link corrective human actions with their corresponding cognitive activities, such as attention, perception, decision-making, and memory recall. This approach helps identify how humans respond during abnormal or uncertain conditions and what mental functions are activated to carry out corrective tasks. Ultimately, this table serves not only as a procedural guide but also as a human factor tool to enhance situational awareness.
Table 4 explains the influence of the common performance conditions (CPCs) on human performance in the response actions during the bunkering operation of hydrogen. The adequate management of the CPCs is pivotal in minimizing risks and will give room for improvement. Considering human corrective response actions, Table 4 presents the evaluation of the common performance conditions (CPCs) in relation to the corrective actions during the hydrogen bunkering operations. The CPC ratings were estimated based on expert judgements. The gathering of information through expert judgements was through a series of structured workshops, seminars, and semi-structured interviews with a panel of eight experts (five of them as maritime professionals and three others as HRA specialists). The process followed CREAM guidelines, where each CPC was rated (efficient, adequate, acceptable) and the impact on human performance reliability was interpreted—not significant, improved, or reduced.
  • Considering the CPCs in Table 2 and Figure 5:
  • ∑reduced = 1 ∑Not significant = 5 ∑Improved = 3 = (1, 5, 3).
  • Figure 5 clearly indicates the tactical mode.
Figure 5 shows the CPC profiles of (1, 5, 3). As per Hollnagel’s model, this maps to tactical control mode. The CPC combination clearly corresponds to the “tactical mode”, where actions are primarily goal-oriented and responsive. There is some planning but not full strategic foresight due to one reduced CPC. Tactical mode is characterized by targeted, responsive behaviour, which is common in complex but semi-stable operations like hydrogen bunkering, where some uncertainties exist, but most performance conditions are acceptable or improved.
Figure 5. Relations between CPC score and control modes (Hollnagel, 1998 [6]).
Figure 5. Relations between CPC score and control modes (Hollnagel, 1998 [6]).
Jmse 13 01580 g005
Table 5 shows the control modes of the human operator and the probability interval of the bunkering of hydrogen and the reliability interval. It better explains human decision-making and the execution of safe operations. The control modes—ranging from strategic to opportunistic—represent the levels of human cognitive control and adaptability under varying conditions of certainty and time pressure. By mapping these modes to reliability data, the table offers a deeper understanding of how human decision-making evolves in response to operational demands, equipment conditions, and the presence of uncertainties.
Table 6 clearly identifies the cognitive activities involved in the hydrogen bunkering operation that are essential for enhancing safety and reduction in errors. Execution, as a cognitive activity, appears to be the most demanding in the bunkering operation, being more dependent on paying attention, working memory, and motor planning. This also demonstrates the carrying out of the planned steps to complete a task.
Table 7 identifies the relationship between the cognitive activities and four cognitive processes, such as observation, interpretation, planning, and execution. This can also be used as a training tool. The table outlines the cognitive workload required of the operator during human corrective actions in hydrogen bunkering operations. It establishes a clear relationship between key cognitive activities and the four fundamental cognitive processes: observation, interpretation, planning, and execution. These processes collectively determine how effectively an operator perceives, understands, responds to, and manages unexpected events or operational uncertainties. By mapping each corrective task to its associated cognitive demands, the table provides insight into the mental load and decision-making complexity involved in critical safety functions.
Table 8 presents a pathway linking cognitive activities to potential operator error modes during hydrogen bunkering operations. By tracing how failures in observation, interpretation, planning, or execution can lead to specific error modes, the table provides a structured view of how cognitive breakdowns manifest in operational tasks.
Identifying these failure modes offers a proactive approach to error management, enabling targeted interventions such as task redesign, procedure revision, or enhanced training.
Table 9 explains the relationship between common performance conditions (CPCs), cognitive processes, error modes, and nominal cognitive failure probabilities. This describes how each cognitive process is associated with a specific error mode and how internal and external factors influence human performance in the hydrogen bunkering process.
Table 10, Table 11, Table 12, Table 13, Table 14, Table 15 and Table 16 show the assessment of the common performance conditions on the cognitive functions of human corrective actions in the bunkering operation. The assessment is to enhance decision-making and problem-solving in the process.
Table 17 and Table 18 show an adjusted CFP which is obtained from a combination of nominal CFP and the weighting factor. The weighting factor is the total influence of the common performance conditions (CPCs) on the operation of hydrogen bunkering. The weighting factor is the total multiplication of the values of the cognitive values of the task steps.
Table 19 shows the combined failure probability of the human corrective actions as a response to any unwanted situation in the bunkering operation of hydrogen. This combined probability study clearly considers both human and equipment reliability in the corrective actions of human response to unwanted situations. This combined study helps to enhance human probability by reducing human cognitive failure probability.

5. Discussion

5.1. Original Contribution of the Research Findings to the Industry

The scissor approach provides a valuable framework for understanding how equipment design can directly support and enhance human performance, particularly during corrective actions under conditions of uncertainty. In high-risk environments where time-sensitive decisions are required, well-designed equipment interfaces and systems can reduce cognitive load, minimize misidentification, and guide operators toward correct actions.
By modelling human reliability alongside equipment reliability, the scissor approach advocates for a mutually reinforcing relationship—where technological systems are tailored to human capabilities and limitations, and human actions are supported by intuitive, responsive, and fail-safe equipment. This integration is especially vital in hydrogen applications, where the novelty of the fuel, the risk of leakage, and the lack of operational familiarity can elevate the likelihood of both “action on wrong object” and “observation not made” error modes.
These insights support the need for human-centred design, proactive training, and operational procedures that embed human factor considerations into every layer of hydrogen bunkering system design and execution.
Further integrating the weighted factor indicates that if more proper human decisions are planned into any shipping operation, considering the better management of crew and equipment, human error can be drastically reduced. The final cognitive failure probability (FCFP) indicates a high reduction in cognitive failure with a high increase in reliability. The weighted factor can help to identify the most critical parameters that can influence reliability. How effectively the weighted factor is used will also determine how human error can be reduced, considering enhanced decision-making, improved risk assessment, focused training, and the design of the hydrogen bunkering process. In a nutshell, the weighted factor can only help to reduce human error if the factors are based on sound data and risk assessment that focus on areas of more likely human mistakes in the shipping operation.

5.2. Recommendations for Improving the Current Issue

The scissor approach, as an integrated concept of reliability study, has made promising attempts to enhance human reliability in the corrective response to the occurrence of uncertainties during the bunkering operation of hydrogen. The bunkering of hydrogen is still a very new interest; therefore, there is still a need to engage in in-depth study in areas of training personnel, risk assessment and mitigation, safety distances and hazard zones, storage systems and leak control, regulatory compliance, and more emergency response plans. If safety must be optimal, there is a need for collaboration among industry stakeholders, technology providers, regulators, and maritime training centres because hydrogen bunkering is an evolving field with great industrial interest.

5.3. Limitations of Current Research and Suggestions for Future Work

The hydrogen bunkering operation is a very new and evolving area in the maritime sector, so data collection is quite challenging due to limited information about the bunkering operation of hydrogen. However, there is significant momentum in the maritime industry in its use as a pivotal step in decarbonizing the industry, as the global maritime industry is aiming to cut down emissions and bring in sustainable development strategies. It is therefore greatly believed that as things continuously unfold in the use of hydrogen as an alternative fuel in shipping, more information will be available in areas of both human reliability assessment and equipment reliability study.
Another limitation is in decision-making on the CPCs. Subjectivity could not be totally ruled out in the hydrogen bunkering operation, being a very new area of knowledge. The human reliability aspect of this study marries the expertise of analysts using their experience on the operational task and perceptions to evaluate the likelihood of human error, which can be subjective. Employing decision-making models is the best way to help improve this process. These decision-making models also have their challenges; however, they can bring more in-depth knowledge in this respect.

6. Conclusions

Integrating equipment reliability into the cognitive failure probability values reduces the CFP error values, indicating the interest that reliable equipment in an industrial environment can enhance human reliability in carrying out any shipping operations, thereby reducing human errors. Every shipping operation either responds to uncertainties or is a functional interaction between the human element and equipment factor. Unwanted situations cannot be totally eradicated. However, human responses, if properly put in place, can bring a failed system to an operational state. Human corrective actions have played vital roles in restoring operations even during emergencies. During these corrective actions, however, human errors still remain hidden. Investigating human errors during these corrective actions and possible ways of enhancing the human response to incidents becomes an interest in maritime safety. The use of hydrogen as an alternative fuel in the shipping industry is a very novel interest that will involve a lot of uncertainties; therefore, preparation for any unwanted situation is a good direction to point at. Building a proper and adequate corrective goal will greatly enhance the hydrogen bunkering operation.
From the analysis, the most dominant human error modes identified during the human corrective response actions in the hydrogen bunkering operations are “action on wrong object” and “observation not made.” These errors typically arise under conditions of uncertainty, where time pressure, cognitive overload, or poor system design can impair human performance.
“Action on wrong object” involves executing the correct action on an incorrect system or component, often due to misidentification or interface confusion. “Observation not made” reflects a failure to detect critical cues or indicators, which can prevent timely and appropriate responses to developing hazards.
These findings highlight the need for enhanced human–machine interface design, improved procedural clarity, and targeted training that emphasizes situational awareness and decision-making under stress. Addressing these dominant error modes is essential to strengthening operational safety and human reliability in response to uncertainties in hydrogen bunkering environments.

Author Contributions

B.F.: Conceptualization, Methodology, Software, Formal analysis, investigation, Writing—original draft, visualization. B.J.: Project administration, data curation, conceptualization, validation, resources. Y.P.: Writing—review & editing, Project administration. J.J.: Validation, Writing—review & editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research received support from the Korea Institute of Marine Science & Technology Promotion (KIMST), supported by the Ministry of Oceans and Fisheries (RS-2023-00256331), the Nigeria Presidential Amnesty Program (PAP), and Awaritse Nigeria Limited (ANL- RC No. 381014). The KIMST, PAP and ANL contributed resources and facilitation that were instrumental in the successful completion of this study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. The sequential steps of the hydrogen bunkering operation (DNV). (The red line indicates the direct step and next steps of the hydrogen bunkering process while the black indicates completion of each step and the state of the hydrogen and the line of transfer).
Figure 1. The sequential steps of the hydrogen bunkering operation (DNV). (The red line indicates the direct step and next steps of the hydrogen bunkering process while the black indicates completion of each step and the state of the hydrogen and the line of transfer).
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Figure 2. Outline of this study.
Figure 2. Outline of this study.
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Figure 3. Pathway for task analysis.
Figure 3. Pathway for task analysis.
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Figure 4. Event sequence of the human corrective response actions in the hydrogen bunkering operation.
Figure 4. Event sequence of the human corrective response actions in the hydrogen bunkering operation.
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Table 1. Safety table shows possible human actions and potential hazards.
Table 1. Safety table shows possible human actions and potential hazards.
TASKBunkering OperationHuman ActionsPossible Hazards
1Hose/loading arm connectionEstablish hose connectionPossible hose misalignment
2Inert bunker lines, hoses, pumpsStart inert of lines and cargo pump with nitrogenPossible wrong opening of inert gas line valves
3Purging of linesStart purging of lines with hydrogen vapourPossible valve lines damaged
4Filling of receiver tank with hydrogenOpen manual bunker valves on both sidesI. Possible misinterpretation of gauges or indicators
II. Possible tank overfilling
5Completion of transfer capacityVerify required quantityPossible tank overfilling
6Draining of linesEnsure liquid line strippingPossible switch button failure
7Purging of lines after completionPurge lines with hydrogen vapourPossible loss of valve connection
8Inert lines after completion of bunkeringEnsure supply of inert gas (nitrogen)Possible confusion of nitrogen with other gases
9Hose/loading arm disconnectionEnsure proper disconnectionPossible hose misalignment
Table 2. Safety table showing possible human corrective response actions.
Table 2. Safety table showing possible human corrective response actions.
CausesConsequencesPreventive MeasuresHuman Corrective Response Actions (HCRAs)
Improper assembly; not correctly matching hose with fittingHose ruptureTake care not to bend the hose beyond the minimum bend radius (MBR)Ensure to replace the hose assembly
Lack of coordination among crewPotential leakageProper communicationProper labelling of inert gas lines, hoses, and gas cylinders
Possible wrong closing and opening of valvesPotential leakageUse proper equipment such as valves and fittingsI. Activate the emergency shutdown system on both sides
II. Identify and repair the source of the leak
I. Poor visibility or lighting
II. Lack of standardization or calibration
Potential leakageEnsure adequate illuminationReplace faulty lighting, gauges, and indicators
Failing to check level of hydrogen in both tanksPotential leakageProper communicationDetermine the maximum filling limit for the hydrogen fuel tanks
Mechanical or electrical failure of the switch buttonPotential leakageRegular inspection and maintenanceActivate emergency shutdown system (ESD)
Possible wrong closing and opening of valvesPotential leakageProper watchkeepingInitiate emergency shutdown system (ESD)
Connecting the wrong hose to the nitrogen supply linePotential gas leakageUse dedicated hoses for nitrogen supplyClearly label the inert gas line, gas cylinders, and hoses
Lack of supervisionPotential hose ruptureHose should not be dragged over rough surfacesI. Replace the hose assembly
II. Complete a planning stage checklist
Table 3. Hierarchical corrective task analysis for the hydrogen bunkering operation.
Table 3. Hierarchical corrective task analysis for the hydrogen bunkering operation.
Task NumberCorrective Goal IntendedTask Step/Activity
0.1.1Replace the hose assemblyStop the H2 transfer immediately and activate the ESD.
0.1.2Ensure to isolate the ruptured hose from the supply source.
0.1.3Vent the residual H2 from the ruptured hose to a safe location or flare system.
0.1.4Replace with a spare hose that has been tested and inspected.
0.1.5Ensure all connections and resume the H2 transfer.
0.2.1Properly label the inert gas line and hosesClearly mark the lines and hoses as INERT GAS with a contrasting colour and suitable size.
0.2.2Colour-code the inert gas lines and hoses according to the defined system.
0.2.3Ensure that hoses and gas lines have compatible couplings distinct from the H2 couplings.
0.2.4Test inert gas lines and hoses regularly for leaks and contamination.
0.3.1Activate the emergency shutdown system (ESD)Press the ESD push button placed in strategic places.
0.3.2Ensure the manual activation of the ESD.
0.3.3Ensure that the automatic activation closes the transfer valves and pumps, releases the ERC, and opens the vent valves.
0.4.1Identify and repair the source of the leakMonitor for gas leakage using appropriate detection systems—pressure sensors and gas detectors.
0.4.2Ensure stoppage of the whole transfer process and initiate repair following safety protocols and emergency procedures.
0.5.1Replace faulty lighting, gauges, and indicatorsEnsure replacement before the start of bunkering.
0.5.2Replace using appropriate tools and spares.
0.5.3Ensure that the new components are compatible and functional.
0.6.1Determine the maximum filling limit of the tankEnsure the maximum allowable liquid volume that the tank may be loaded with.
0.6.2Ensure appropriate loading density at the loading temperature and reference temperature.
0.6.3Monitor the maximum filling limit using appropriate instruments: pressure gauge, level gauge, etc.
0.7.1Complete a planning stage checklistEnsure to complete the checklist when placing a bunker order.
0.7.2Include all necessary information about the bunker and safety procedures.
Table 4. Common performance conditions of the human corrective actions in the hydrogen bunkering operation.
Table 4. Common performance conditions of the human corrective actions in the hydrogen bunkering operation.
CPCEvaluation of the CPC of the Hydrogen Bunkering Operation (Corrective Actions)CPC and Performance Reliability
Adequacy of the organizationEfficientNot significant
Adequacy of MMI and operational supportAdequateNot significant
Working conditionsCompatibleNot significant
Availability of procedures/plansAcceptableImproved
Number of simultaneous goalsMatching current capacityNot significant
Available timeAdequateImproved
Time of day (circadian rhythm);
daytime
AdjustedNot significant
Adequacy of training and experienceAdequate, limited experienceReduced
Crew collaboration qualityVery efficientImproved
Table 5. Reliability interval (probability of action failure) of the corrective actions in the hydrogen bunkering operation.
Table 5. Reliability interval (probability of action failure) of the corrective actions in the hydrogen bunkering operation.
Control ModesReliability Interval (Probability of Action Failure)
Strategic0.000005 < p < 0.01
Tactical0.001 < p < 0.1 (1, 5, 3)
Opportunistic0.01 < p < 0.5
Scrambled0.1 < p < 1.0
Table 6. Applying the extended CREAM to produce specific action failure probabilities.
Table 6. Applying the extended CREAM to produce specific action failure probabilities.
Task NumberCorrective Goal IntendedTask StepCognitive Activities
0.1.1Replace the hose assemblyStop the hydrogen transfer immediately and activate the ESDExecute
0.1.2Ensure to isolate the ruptured hose from the supply sourceCoordinate
0.1.3Vent the residual hydrogen from the ruptured hose to a safe location or flare systemExecute
0.1.4Replace with a spare hose that has been tested and inspectedExecute
0.1.5Ensure all connections and resume the hydrogen transferExecute
0.2.1Properly label the inert gas line and hosesClearly mark the lines and hoses as INERT GAS with a contrasting colour and suitable sizePlan
0.2.2Colour-code the inert gas lines and hoses according to the defined systemExecute
0.2.3Ensure that hoses and gas lines have compatible couplings distinct from the hydrogen couplingsVerify
0.2.4Test inert gas lines and hoses regularly for leaks and contaminationMonitor
0.3.1Activate the emergency shutdown system (ESD)Press the ESD push button placed in strategic placesExecute
0.3.2Ensure the manual activation of the ESDVerify
0.3.3Ensure that the automatic activation closes the transfer valves and pumps, releases the ERC, and opens the vent valvesVerify
0.4.1Identify and repair the source of the leakMonitor for gas leakage using appropriate detection systems—pressure sensors and gas detectorsMonitor
0.4.2Ensure stoppage of the whole transfer process and initiate repair following safety protocols and emergency proceduresVerify
0.5.1Replace faulty lighting, gauges, and indicatorsEnsure replacement before the start of bunkeringVerify
0.5.2Replace using appropriate tools and sparesExecute
0.5.3Ensure that the new components are compatible and functionalVerify
0.6.1Determine the maximum filling limit of the tankEnsure the maximum allowable liquid volume that the tank may be loaded withEvaluate
0.6.2Ensure appropriate loading density at the loading temperature and reference temperatureEvaluate
0.6.3Monitor the maximum filling limit using appropriate instruments: pressure gauge, level gauge, etc.Monitor
0.7.1Complete a planning stage checklistEnsure to complete the checklist when placing a bunker orderVerify
0.7.2Include all necessary information about the bunker and safety proceduresExecute
Table 7. Cognitive demand table of the corrective actions in the hydrogen bunkering operation.
Table 7. Cognitive demand table of the corrective actions in the hydrogen bunkering operation.
TaskTask StepCognitive ActivityObservationInterpretationPlanningExecution
0.1.1Stop the hydrogen transfer immediately and activate the ESDExecute
0.1.2Ensure to isolate the ruptured hose from the supply sourceCoordinate
0.1.3Vent the residual hydrogen from the ruptured hose to a safe location or flare systemExecute
0.1.4Replace with a spare hose that has been tested and inspectedExecute
0.1.5Ensure all connections and resume the hydrogen transferExecute
0.2.1Clearly mark the lines and hoses as INERT GAS with a contrasting colour and suitable sizePlan
0.2.2Colour-code the inert gas lines and hoses according to the defined systemExecute
0.2.3Ensure that hoses and gas lines have compatible couplings distinct from the hydrogen couplingsVerify
0.2.4Test inert gas lines and hoses regularly for leaks and contaminationMonitor
0.3.1Press the ESD push button placed in strategic placesExecute
0.3.2Ensure the manual activation of the ESDVerify
0.3.3Ensure that the automatic activation closes the transfer valves and pumps, releases the ERC, and opens the vent valvesVerify
0.4.1Monitor for gas leakage using appropriate detection systems—pressure sensors and gas detectorsMonitor
0.4.2Ensure stoppage of the whole transfer process and initiate repair following safety protocols and emergency proceduresVerify
0.5.1Ensure replacement before the start of bunkeringVerify
0.5.2Replace using appropriate tools and sparesExecute
0.5.3Ensure that the new components are compatible and functionalVerify
0.6.1Ensure the maximum allowable liquid volume that the tank may be loaded withEvaluate
0.6.2Ensure appropriate loading density at the loading temperature and reference temperatureEvaluate
0.6.3Monitor the maximum filling limit using appropriate instruments: pressure gauge, level gauge, etc.Monitor
0.7.1Ensure to complete the checklist when placing a bunker orderVerify
0.7.2Include all necessary information about the bunker and safety proceduresExecute
Table 8. Credible corrective failure modes in the hydrogen bunkering operation.
Table 8. Credible corrective failure modes in the hydrogen bunkering operation.
Task NumberCognitive ActivityObservationInterpretationPlanningExecution
O1O2O3I1I2I3P1P2E1E2E3E4E5
0.1.1Execute
0.1.2Coordinate
0.1.3Execute
0.1.4Execute
0.1.5Execute
0.2.1Plan
0.2.2Execute
0.2.3Verify
0.2.4Monitor
0.3.1Execute
0.3.2Verify
0.3.3Verify
0.4.1Monitor
0.4.2Verify
0.5.1Verify
0.5.2Execute
0.5.3Verify
0.6.1Evaluate
0.6.2Evaluate
0.6.3Monitor
0.7.1Verify
0.7.2Execute
Table 9. Couplings between CPCs and cognitive processes with error mode and nominal CFP.
Table 9. Couplings between CPCs and cognitive processes with error mode and nominal CFP.
Task NumberCognitive ActivityCOCOM FunctionError ModeNominal CFP
0.1.1ExecuteExecutionE2: Action at wrong time3.0E−3
0.1.2CoordinatePlanningP2: Inadequate plan1.0E−2
0.1.3ExecuteExecutionE1: Action of wrong type3.0E−3
0.1.4ExecuteExecutionE3: Action on wrong object5.0E−4
0.1.5ExecuteExecutionE1: Action of wrong type3.0E−3
0.2.1PlanPlanningP2: Inadequate plan1.0E−2
0.2.2ExecuteExecutionE3: Action on wrong object5.0E−4
0.2.3VerifyObservationO2: Wrong identification7.0E−2
0.2.4MonitorObservationO3: Observation not made7.0E−2
0.3.1ExecuteExecutionE3: Action on wrong object5.0E−4
0.3.2VerifyInterpretationI2: Decision error1.0E−2
0.3.3VerifyObservationO3: Observation not made7.0E−2
0.4.1MonitorObservationO3: Observation not made7.0E−2
0.4.2VerifyObservationO1: Wrong object observed1.0E−3
0.5.1VerifyObservationO2: Wrong identification7.0E−2
0.5.2ExecuteExecutionE3: Action on wrong object5.0E−4
0.5.3VerifyInterpretationI2: Decision error1.0E−2
0.6.1EvaluateInterpretationI3: Delayed interpretation1.0E−2
0.6.2EvaluateInterpretationI2: Decision error1.0E−2
0.6.3MonitorObservationO3: Observation not made7.0E−2
0.7.1VerifyObservationO2: Wrong identification7.0E−2
0.7.2ExecuteExecutionE5: Missed action3.0E−2
Table 10. Assessment of the effects of CPCs on cognitive function corrective failures (Task 1).
Table 10. Assessment of the effects of CPCs on cognitive function corrective failures (Task 1).
CPCLevelT0.1.1T0.1.2T0.1.3T0.1.4T0.1.5
E2P2E1E3E1
Adequacy of the organizationEfficient1.01.01.01.01.0
Adequacy of MMI and operational supportAdequate1.01.01.01.01.0
Working conditionsCompatible1.01.01.01.01.0
Availability of procedures/plansAcceptable1.01.01.01.01.0
Number of simultaneous goalsMatching current capacity1.01.01.01.01.0
Available timeAdequate0.50.50.50.50.5
Time of day (circadian rhythm);
day time
Adjusted1.01.01.01.01.0
Adequacy of training and experienceAdequate, limited experience1.01.01.01.01.0
Crew collaboration qualityVery efficient0.50.50.50.50.5
Total influence of CPC 0.250.250.250.250.25
Table 11. Assessment of the effects of CPCs on cognitive function corrective failures (Task 2).
Table 11. Assessment of the effects of CPCs on cognitive function corrective failures (Task 2).
CPCLevelT0.1.1T0.1.2T0.1.3T0.1.4
P2E3O2O3
Adequacy of the organizationEfficient1.01.01.01.0
Adequacy of MMI and operational supportAdequate1.01.01.01.0
Working conditionsCompatible1.01.01.01.0
Availability of procedures/plansAcceptable1.01.01.01.0
Number of simultaneous goalsMatching current capacity1.01.01.01.0
Available timeAdequate0.50.50.50.5
Time of day (circadian rhythm);
day time
Adjusted1.01.01.01.0
Adequacy of training and experienceAdequate, limited experience1.01.01.01.0
Crew collaboration qualityVery efficient0.50.50.50.5
Total influence of CPC 0.250.250.250.25
Table 12. Assessment of the effects of CPCs on cognitive function corrective failures (Task 3).
Table 12. Assessment of the effects of CPCs on cognitive function corrective failures (Task 3).
CPCLevelT 0.3.1T 0.3.2T 0.3.4
E3I2O3
Adequacy of the organizationEfficient1.01.01.0
Adequacy of MMI and operational supportAdequate1.01.01.0
Working conditionsCompatible1.01.01.0
Availability of procedures/plansAcceptable1.01.01.0
Number of simultaneous goalsMatching current capacity1.01.01.0
Available timeAdequate0.50.50.5
Time of day (circadian rhythm);
day time
Adjusted1.01.01.0
Adequacy of training and experienceAdequate, limited experience1.01.01.0
Crew collaboration qualityVery efficient0.50.50.5
Total influence of CPC 0.250.250.25
Table 13. Assessment of the effects of CPCs on cognitive function corrective failures (Task 4).
Table 13. Assessment of the effects of CPCs on cognitive function corrective failures (Task 4).
CPCLevelT 0.4.1T 0.4.2
O3O1
Adequacy of the organizationEfficient1.01.0
Adequacy of MMI and operational supportAdequate1.01.0
Working conditionsCompatible1.01.0
Availability of procedures/plansAcceptable1.01.0
Number of simultaneous goalsMatching current capacity1.01.0
Available timeAdequate0.50.5
Time of day (circadian rhythm);
day time
Adjusted1.01.0
Adequacy of training and experienceAdequate, limited experience1.01.0
Crew collaboration qualityVery efficient0.50.5
Total influence of CPC 0.250.25
Table 14. Assessment of the effects of CPCs on cognitive function corrective failures (Task 5).
Table 14. Assessment of the effects of CPCs on cognitive function corrective failures (Task 5).
CPCLevelT 0.5.1T 0.5.2T 0.5.3
O2E3I2
Adequacy of the organizationEfficient1.01.01.0
Adequacy of MMI and operational supportAdequate1.01.01.0
Working conditionsCompatible1.01.01.0
Availability of procedures/plansAcceptable1.01.01.0
Number of simultaneous goalsMatching current capacity1.01.01.0
Available timeAdequate0.50.50.5
Time of day (circadian rhythm);
day time
Adjusted1.01.01.0
Adequacy of training and experienceAdequate, limited experience1.01.01.0
Crew collaboration qualityVery efficient0.50.50.5
Total influence of CPC 0.250.250.25
Table 15. Assessment of the effects of CPCs on cognitive function corrective failures (Task 6).
Table 15. Assessment of the effects of CPCs on cognitive function corrective failures (Task 6).
CPCLevelT 0.6.1T 0.6.2T 0.6.3T 0.6.4
E2P2E1E3
Adequacy of the organizationEfficient1.01.01.01.0
Adequacy of MMI and operational supportAdequate1.01.01.01.0
Working conditionsCompatible1.01.01.01.0
Availability of procedures/plansAcceptable1.01.01.01.0
Number of simultaneous goalsMatching current capacity1.01.01.01.0
Available timeAdequate0.50.50.50.5
Time of day (circadian rhythm);
day time
Adjusted1.01.01.01.0
Adequacy of training and experienceAdequate, limited experience1.01.01.01.0
Crew collaboration qualityVery efficient0.50.50.50.5
Total influence of CPC 0.250.250.250.25
Table 16. Assessment of the effects of CPCs on cognitive function corrective failures (Task 7).
Table 16. Assessment of the effects of CPCs on cognitive function corrective failures (Task 7).
CPCLevelT 0.7.1T 0.7.2
O2E5
Adequacy of the organizationEfficient1.01.0
Adequacy of MMI and operational supportAdequate1.01.0
Working conditionsCompatible1.01.0
Availability of procedures/plansAcceptable1.01.0
Number of simultaneous goalsMatching current capacity1.01.0
Available timeAdequate0.50.5
Time of day (circadian rhythm);
day time
Adjusted1.01.0
Adequacy of training and experienceAdequate, limited experience1.01.0
Crew collaboration qualityVery efficient0.50.5
Total influence of CPC 0.250.25
Table 17. CFP of individual task steps.
Table 17. CFP of individual task steps.
TaskTask ActivityError ModeNominal CFPWeighting FactorAdjusted CFP (HEPs)
0.1.1Stop the hydrogen transfer immediately and activate the ESDE2: Action at wrong time3.0E−30.257.5E−4
0.1.2Ensure to isolate the ruptured hose from the supply sourceP2: Inadequate plan1.0E−20.252.5E−3
0.1.3Vent the residual LNG from the ruptured hose to a safe location or flare systemE1: Action of wrong type3.0E−30.257.5E−4
0.1.4Replace with a spare hose that has been tested and inspectedE3: Action on wrong object5.0E−40.251.25E−4
0.1.5Ensure all connections and resume the LNG transferE1: Action of wrong type3.0E−30.257.5E−4
0.2.1Clearly mark the lines and hoses as INERT GAS with a contrasting colour and suitable sizeP2: Inadequate plan1.0E−20.252.5E−3
0.2.2Colour-code the inert gas lines and hoses according to the defined systemE3: Action on wrong object5.0E−40.251.25E−4
0.2.3Ensure that the hose and gas lines have compatible couplings distinct from the LNG couplingsO2: Wrong identification7.0E−20.251.75E−2
0.2.4Test inert gas lines and hoses regularly for leaks and contaminationO3: Observation not made7.0E−20.251.75E−2
0.3.1Press the ESD push button placed in strategic placesE3: Action on wrong object5.0E−40.251.25E−4
0.3.2Ensure the manual activation of the ESDI2: Decision error1.0E−20.252.5E−3
0.3.3Ensure that the automatic activation closes the transfer valves and pumps, releases the ERC, and opens the vent valvesO3: Observation not made7.0E−20.251.75E−2
0.4.1Monitor for gas leakage using appropriate detection systems—pressure sensors and gas detectorsO3: Observation not made7.0E−20.251.75E−2
0.4.2Ensure stoppage of the whole transfer process and initiate repair following safety protocols and emergency proceduresO1: Wrong object observed1.0E−30.252.5E−4
0.5.1Ensure replacement before the start of bunkeringO2: Wrong identification7.0E−20.251.75E−2
0.5.2Replace using appropriate tools and sparesE3: Action on wrong object5.0E−40.251.25E−4
0.5.3Ensure that the new components are compatible and functionalI2: Decision error1.0E−20.252.5E−3
0.6.1Ensure the maximum allowable liquid volume that the tank may be loaded withI3: Delayed interpretation1.0E−20.252.5E−3
0.6.2Ensure appropriate loading density at the loading temperature and reference temperatureI2: Decision error1.0E−20.252.5E−3
0.6.3Monitor the maximum filling limit using appropriate instruments: pressure gauge, level gauge, etc.O3: Observation not made7.0E−20.251.75E−2
0.7.1Ensure to complete the checklist when placing a bunker orderO2: Wrong identification7.0E−20.251.75E−2
0.7.2Include all necessary information about the bunker and safety proceduresE5: Missed action3.0E−20.257.5E−4
Table 18. CFP of individual task steps.
Table 18. CFP of individual task steps.
Task NoTask ActivityError ModeNominal CFPWeighting FactorAdjusted CFP (HEPs)
0.1.1Stop the hydrogen transfer immediately and activate the ESDE2: Action at wrong time3.0E−30.257.5E−4
0.1.2Ensure to isolate the ruptured hose from the supply sourceP2: Inadequate plan1.0E−20.252.5E−3
0.1.3Vent the residual LNG from the ruptured hose to a safe location or flare systemE1: Action of wrong type3.0E−30.257.5E−4
0.1.4Replace with a spare hose that has been tested and inspectedE3: Action on wrong object5.0E−40.251.25E−4
0.1.5Ensure all connections and resume the LNG transferE1: Action of wrong type3.0E−30.257.5E−4
0.2.1Clearly mark the lines and hoses as INERT GAS with a contrasting colour and suitable sizeP2: Inadequate plan1.0E−20.252.5E−3
0.2.2Colour-code the inert gas lines and hoses according to the defined systemE3: Action on wrong object5.0E−40.251.25E−4
0.2.3Ensure that the hose and gas lines have compatible couplings distinct from the LNG couplingsO2: Wrong identification7.0E−20.251.75E−2
0.2.4Test inert gas lines and hoses regularly for leaks and contaminationO3: Observation not made7.0E−20.251.75E−2
0.3.1Press the ESD push button placed in strategic placesE3: Action on wrong object5.0E−40.251.25E−4
0.3.2Ensure the manual activation of the ESDI2: Decision error1.0E−20.252.5E−3
0.3.3Ensure that the automatic activation closes the transfer valves and pumps, releases the ERC, and opens the vent valvesO3: Observation not made7.0E−20.251.75E−2
0.4.1Monitor for gas leakage using appropriate detection systems—pressure sensors and gas detectorsO3: Observation not made7.0E−20.251.75E−2
0.4.2Ensure stoppage of the whole transfer process and initiate repair following safety protocols and emergency proceduresO1: Wrong object observed1.0E−30.252.5E−4
0.5.1Ensure replacement before the start of bunkeringO2: Wrong identification7.0E−20.251.75E−2
0.5.2Replace using appropriate tools and sparesE3: Action on wrong object5.0E−40.251.25E−4
0.5.3Ensure that the new components are compatible and functionalI2: Decision error1.0E−20.252.5E−3
0.6.1Ensure the maximum allowable liquid volume that the tank may be loaded withI3: Delayed interpretation1.0E−20.252.5E−3
0.6.2Ensure appropriate loading density at the loading temperature and reference temperatureI2: Decision error1.0E−20.252.5E−3
0.6.3Monitor the maximum filling limit using appropriate instruments: pressure gauge, level gauge, etc.O3: Observation not made7.0E−20.251.75E−2
0.7.1Ensure to complete the checklist when placing a bunker orderO2: Wrong identification7.0E−20.251.75E−2
0.7.2Include all necessary information about the bunker and safety proceduresE5: Missed action3.0E−20.257.5E−3
Table 19. Integrated CFP values with equipment reliability.
Table 19. Integrated CFP values with equipment reliability.
Task NoTask ActivityAdjusted (CFP)Adjusted Equipment Failure Probability (EFP)FFPFinal Probability (FP)
0.1.1
Replace the hose assembly.
Stop the hydrogen transfer immediately and activate the ESD0.00075ESD
(0.00000699)
0.00075698480.9992430152
0.1.2Ensure to isolate the ruptured hose from the supply source0.0025Gas detector
(0.0000015)
0.00250149650.9974985038
0.1.3Vent the residual hydrogen from the ruptured hose to a safe location or flare system0.00075Gas detector
0.0000015
0.00075149890.9992485011
0.1.4Replace with a spare hose that has been tested and inspected0.000125Gas detector
(0.0000015)
0.000126499810.9998735002
0.1.5Ensure all connections and the hydrogen transfer operation are ready to start0.00075Multimeter or electrical testers
(0.000025)
0.000774981250.9992250188
0.2.1
Properly label inert gas line and hoses
Clearly mark the lines and hoses as INERT GAS with a contrasting colour and suitable size0.0025Gas detector
(0.0000015)
0.002501496250.9974985038
0.2.2Colour-code the inert gas lines and hoses according to the defined system0.000125Gas detector (0.0000015)0.000126499810.9998735002
0.2.3Ensure that hoses and gas lines have compatible couplings distinct from the hydrogen couplings0.0175Couplings
(0.000011)
0.01751080750.9824891925
0.2.4Test inert gas lines and hoses regularly for leaks and contamination0.0175Portable gas detectors (0.0000015)0.017501473750.9824985263
0.3.1
Activate the emergency shutdown system (ESD)
Press the ESD push button placed in strategic places0.000125ESD
(0.00000699)
0.000131989130.9998680109
0.3.2Ensure the manual activation of the ESD0.0025ESD
(0.00000699)
0.002506972530.9974930275
0.3.3Ensure that the automatic activation closes the transfer valves and pumps, releases the ERC, and opens the vent valves0.0175ESD
(0.00000699)
0.4.1
Identify and repair the source of the leak
Monitor for gas leakage using appropriate detection systems—pressure sensors and gas detectors0.0175Gas detector
(0.0000015)
0.4.2Ensure stoppage of the whole transfer process and initiate repair following safety protocols and emergency procedures0.00025ESD
(0.00000699)
0.000256988250.9997430117
0.5.1
Replace faulty lighting, gauges, and indicators
Ensure replacement before the start of bunkering0.0175Multimeter or electrical testers
(0.000025)
0.01752456250.9824754375
0.5.2Replace using appropriate tools and spares0.000125Multimeter or electrical testers (0.000025)0.000149996880.9998500031
0.5.3Ensure that the new components are compatible and functional0.0025Multimeter or electrical testers (0.000025)0.00252493750.9974750625
0.6.1
Determine the maximum filling limit of the tank
Ensure the maximum allowable liquid volume that the tank may be loaded with0.0025Tank level gauges
(0.00000015)
0.002500149630.9974998504
0.6.2Ensure appropriate loading density at the loading temperature and reference temperature0.0025Tank level gauges
(0.00000015)
0.002500149630.9974998504
0.6.3Monitor the maximum filling limit using appropriate instruments: pressure gauge, level gauge, etc.0.0175Tank level gauges (0.00000015)0.017500147380.9824998526
0.7.1
Complete a planning stage checklist
Ensure to complete the checklist when placing a bunker order0.0175VHF Radio
(0.0000000045)
0.017500004420.9824999956
0.7.2Include all necessary information about the bunker and safety procedures0.0075VHF Radio
(0.0000000045)
0.0075000044660.9924999955
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MDPI and ACS Style

Fetimi, B.; Jeong, B.; Park, Y.; Jee, J. Scissors Approach in Human and Equipment Reliability Vis-A-Vis the Use of Alternative Fuel in Ship Propulsion. J. Mar. Sci. Eng. 2025, 13, 1580. https://doi.org/10.3390/jmse13081580

AMA Style

Fetimi B, Jeong B, Park Y, Jee J. Scissors Approach in Human and Equipment Reliability Vis-A-Vis the Use of Alternative Fuel in Ship Propulsion. Journal of Marine Science and Engineering. 2025; 13(8):1580. https://doi.org/10.3390/jmse13081580

Chicago/Turabian Style

Fetimi, Bebetebe, Byongug Jeong, Yeongmin Park, and Jaehoon Jee. 2025. "Scissors Approach in Human and Equipment Reliability Vis-A-Vis the Use of Alternative Fuel in Ship Propulsion" Journal of Marine Science and Engineering 13, no. 8: 1580. https://doi.org/10.3390/jmse13081580

APA Style

Fetimi, B., Jeong, B., Park, Y., & Jee, J. (2025). Scissors Approach in Human and Equipment Reliability Vis-A-Vis the Use of Alternative Fuel in Ship Propulsion. Journal of Marine Science and Engineering, 13(8), 1580. https://doi.org/10.3390/jmse13081580

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