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Showing posts with label DISCRETE PROBABILITY DISTRIBUTION. Show all posts
Showing posts with label DISCRETE PROBABILITY DISTRIBUTION. Show all posts

Wednesday, February 5, 2025

2.13. PRESCRIPTIVE MAINTENANCE

2.13.1 INTRODUCTION

2.13.1.1 DEFINITION

Prescriptive maintenance in marine engineering is an evolution of maintenance strategies, melding the foresight of predictive maintenance with the acuity of actionable recommendations. It is a holistic approach that forecasts potential maintenance issues and proactively suggests the best mitigation action. This strategy harnesses the power of advanced analytics, big data, artificial intelligence (AI), and machine learning algorithms to create a dynamic maintenance environment.

At its core, prescriptive maintenance in marine engineering leverages a wealth of data from various sources – including sensors on marine equipment, historical maintenance records, and operational parameters. This data is continuously collected and analysed in real-time. Unlike traditional maintenance approaches that rely on set schedules or reactive measures following a failure, prescriptive maintenance anticipates problems before they occur and recommends precise, evidence-based actions.

These recommendations are not generic; they are tailored to the specific circumstances of each vessel and its machinery. The system considers various factors, such as the current condition of equipment, the operational load, environmental conditions, and even the predicted future usage of the vessel. Doing so can suggest the most effective maintenance actions, whether immediate repairs, scheduled downtime, or adjustments in operation to prolong equipment life.

Integrating AI and machine learning allows the system to learn from each intervention, improving its accuracy and effectiveness. This learning capability means the system becomes more adept at identifying subtle patterns or signs of impending issues that human operators or simpler predictive models might miss.

Prescriptive maintenance in marine engineering is about moving beyond simply predicting problems to providing actionable, intelligent solutions that optimise the performance and longevity of marine vessels and their equipment. It represents a paradigm shift from reactive or even predictive maintenance to a more sophisticated, data-driven approach that empowers marine engineers to make informed, strategic decisions that enhance efficiency, safety, and cost-effectiveness in marine operations.

2.13.2 KEY COMPONENTS OF PRESCRIPTIVE MAINTENANCE

2.13.2.1 REAL-TIME DATA MONITORING AND ANALYSIS

In prescriptive maintenance, real-time data monitoring and analysis stand as the foundation. Advanced sensors and Internet of Things (IoT) devices are deployed extensively across marine vessels, continuously gathering data from various components like engines, navigational systems, and hull structures. This data, ranging from temperature readings to vibration analysis, is then transmitted in real-time for analysis.

The analysis involves sophisticated algorithms and data analytics tools that scrutinise this data stream for anomalies, trends, and patterns. This process detects issues and predicts future problems based on subtle changes in data readings. For instance, a slight increase in engine temperature or a minor change in vibration patterns could indicate a potential future failure. By identifying these issues early, prescriptive maintenance allows for interventions that prevent more significant problems and costly repairs.

 

2.13.2.2 DECISION SUPPORT SYSTEMS (DSS)

Decision Support Systems (DSS) are integral to prescriptive maintenance. These systems take the analysis provided by real-time monitoring and use it to offer actionable maintenance recommendations. DSS in marine engineering is multifaceted; it incorporates data analytics, expert systems, and sometimes even AI to process the data and provide well-rounded advice.

The strength of a DSS lies in its ability to consider a wide array of factors before making a recommendation. These factors include the cost implications of different maintenance actions, the required time, the availability of resources (like spare parts or technical personnel), and the potential impact on vessel operations. By balancing these variables, a DSS ensures its maintenance actions are timely, cost-effective, and resource-efficient.

2.13.2.3 FAILURE MODE AND EFFECTS ANALYSIS (FMEA)

Failure Mode and Effects Analysis (FMEA) is a systematic, structured approach for analysing potential reliability problems at the earliest stages. In marine engineering, FMEA involves a detailed examination of aquatic systems and components to identify all possible failure modes, their causes, and their effects on the overall system's performance.

FMEA in prescriptive maintenance is proactive. It aims to identify potential failure points before they occur, understanding how and why these failures might happen and the consequences thereof. This analysis helps prioritise maintenance tasks by highlighting the most critical areas that need attention. It also aids in developing strategies to mitigate risks, thereby enhancing the safety and reliability of marine systems.

2.13.2.4 MAINTENANCE SCHEDULING OPTIMISATION

The final key component is the optimisation of maintenance scheduling. This aspect uses algorithms and predictive models to determine the most opportune times for conducting maintenance activities. These algorithms consider various factors, such as the condition of equipment, predicted failure rates, operational schedules of the vessel, and even external factors like weather conditions and port availability.

Maintenance scheduling optimisation ensures that maintenance activities are conducted on time (which can be wasteful) or too late (which can lead to failure and operational disruptions). By finding the optimal balance, this component of prescriptive maintenance maximises equipment uptime, enhances operational efficiency, and reduces costs associated with unscheduled downtimes and emergency repairs. It is a strategic approach that aligns maintenance activities with the vessel's operational requirements and constraints, ensuring smooth, uninterrupted marine operations.

2.13.3 BENEFITS OF PRESCRIPTIVE MAINTENANCE

2.13.3.1 INFORMED DECISION-MAKING

One of the most significant benefits of prescriptive maintenance is its role in fostering informed decision-making. This approach provides a detailed, data-driven view of the health and performance of marine equipment and systems. By leveraging the insights gained from continuous monitoring and advanced analytics, marine engineers and decision-makers are equipped with a comprehensive understanding of their vessel's operational status. This knowledge allows them to preempt failures before they occur and make decisions that optimise performance. For instance, if data indicates an emerging problem in the engine room, decisions can be made to address the issue during a scheduled docking rather than facing an unexpected failure at sea.

2.13.3.2 OPTIMISED MAINTENANCE OPERATIONS

Prescriptive maintenance also leads to more optimised maintenance operations. Traditional reactive maintenance often results in unplanned downtime and rushed, costly repairs. In contrast, prescriptive maintenance uses predictive analytics to time maintenance activities precisely, ensuring that interventions are carried out when they are most effective and least disruptive. This approach minimises downtime and ensures that maintenance tasks are performed on time. The result is a smoother, more efficient operational workflow, seamlessly integrating maintenance activities into the vessel's schedule.

2.13.3.3 ENHANCED SYSTEM RELIABILITY

Enhancing system reliability is a core advantage of prescriptive maintenance. This strategy proactively addresses potential issues, preventing equipment failures before they occur. Doing so significantly reduces the risk of unexpected breakdowns and ensures all systems function optimally. Enhanced reliability is not just about preventing failures; it's also about ensuring that the vessel operates at peak efficiency, which is crucial for safety and operational success in the demanding marine environment.

2.13.3.4 COST SAVINGS

Finally, prescriptive maintenance can lead to substantial cost savings. The proactive nature of this maintenance strategy means that issues are often resolved before they escalate into major problems, thus avoiding expensive emergency repairs. Additionally, the overall operational costs are lowered by reducing downtime and extending the life of equipment through timely and precise maintenance interventions. This cost-effectiveness is a significant benefit, especially regarding the high operational costs associated with marine vessels. The savings achieved through prescriptive maintenance can be redirected towards other critical areas of marine operations, further enhancing the efficiency and profitability of maritime enterprises.

2.13.4 EXAMPLES

2.13.4.1 PRESCRIPTIVE MAINTENANCE FOR DUAL FUEL MAN B&W MAINE ENGINE

Take the case of an Aframax tanker equipped with a dual-fuel MAN B&W main engine. This type of engine, capable of running on traditional marine fuels and liquefied natural gas (LNG), presents unique maintenance challenges due to its complex fuel systems and combustion processes.

The vessel's management can more effectively optimise fuel usage and anticipate maintenance needs by implementing prescriptive maintenance. For example, sensors embedded in the engine can monitor parameters such as fuel pressure, exhaust gas composition, and cylinder temperatures in real-time. When analysed, this data can indicate wear or inefficiencies in fuel combustion.

It can suggest a specific action if the system detects an anomaly, like a higher-than-normal exhaust gas temperature. This might include adjusting the fuel injection timing or planning a detailed inspection of certain engine components during the next port call. Such actions prevent unexpected engine failures and ensure the engine operates efficiently, reducing fuel consumption and emissions - crucial for compliance with international maritime regulations.

In a real-world scenario, this could mean the difference between a smooth, uninterrupted voyage and an unscheduled stop due to engine failure, significantly impacting the tanker's operational costs and reliability.

2.13.4.2 PRESCRIPTIVE MAINTENANCE FOR HULL (TANKER)

Consider an Aframax tanker navigating global trade routes, where its hull is subjected to various stress factors like varying sea conditions, temperature fluctuations, and corrosive environments. Prescriptive maintenance can be particularly beneficial in maintaining the hull's integrity.

Through the integration of hull stress monitoring systems and corrosion detection sensors, prescriptive maintenance can predict areas on the tanker's hull that are prone to corrosion or structural stress. For example, sensors might detect increased corrosion activity levels in certain hull sections, potentially caused by a coating failure or an electrochemical reaction.

Upon analysing this data, the system might suggest a targeted inspection and maintenance plan for the affected area during the next dry docking. It could also recommend adjustments to voyage routes or speeds to reduce stress on vulnerable hull sections. Additionally, the analysis might indicate the need for a different type of protective coating or anodic protection system in the future.

In a practical scenario, this level of detailed, proactive maintenance can prevent structural failures, which are critical in maintaining the safety and integrity of the vessel. It also ensures compliance with maritime safety standards and can significantly reduce the costs associated with significant hull repairs. For an Aframax tanker, this approach not only guarantees structural safety but also enhances the operational efficiency and longevity of the vessel.

2.13.5 CONCLUSION

Prescriptive maintenance marks a revolutionary stride in marine engineering maintenance. This approach, underpinned by integrating advanced analytics and real-time data acquisition, transcends traditional maintenance methodologies. It embodies a proactive, predictive, and precise strategy that substantially augments operational efficiency, elevates safety standards, and bolsters cost-effectiveness in the demanding sphere of marine engineering.

In the dynamic and often unpredictable environment of marine operations, where vessels are subject to diverse and harsh conditions, the importance of a maintenance strategy that can predict and prescribe cannot be overstated. Prescriptive maintenance leverages cutting-edge technologies like IoT, AI, and machine learning, transforming vast data sets into actionable insights. These insights empower marine engineers and decision-makers with the foresight to preemptively address potential issues before they escalate into costly and hazardous situations.

The implementation of prescriptive maintenance strategies, as illustrated in the examples of dual-fuel MAN B&W main engines and Aframax tanker hulls, demonstrates its effectiveness in enhancing the reliability and longevity of critical marine systems. By optimising maintenance operations, reducing unplanned downtimes, and extending equipment life, prescriptive maintenance contributes to a significant reduction in operational costs. More importantly, it plays a crucial role in ensuring the safety of the vessel, its crew, and the marine environment.

In summary, prescriptive maintenance is a cornerstone in advancing marine engineering maintenance. It is not merely an improvement over existing maintenance practices but a transformative approach that aligns with the evolving needs of modern marine operations. By adopting prescriptive maintenance, the maritime industry is better equipped to navigate the complexities of today's marine environment, ensuring smoother, safer, and more efficient voyages across the world's oceans.

 

Disclaimer:

Out of Box Maritime Thinker © by Narenta Gestio Consilium Group 2022 and Aleksandar Pudar assumes no responsibility or liability for any errors or omissions in the content of this paper. The information in this paper is provided on an "as is" basis with no guarantees of completeness, accuracy, usefulness, or timeliness or of the results obtained from using this information. The ideas and strategies should never be used without assessing your company's situation or system or consulting a consultancy professional. The content of this paper is intended to be used and must be used for informational purposes only.

Monday, January 6, 2025

Maintenance-Repairs & Spare Parts (Stores) Management

 Effective Maintenance, Repair, and Operations (MRO) management is essential for optimizing vessel performance. Proper MRO management ensures inventory accuracy, quick access to quality spare parts, and seamless integration between the technical department, onboard engineers, purchasers, and supervisors. By addressing challenges, adopting best practices, and leveraging technology, vessel operators can reduce costs, improve efficiency, and minimize downtime.


Objectives of Inventory Management

The primary goals of inventory management include:

  • Reducing operational cycle time by optimizing lead times, repair, transportation, and delivery processes.
  • Lowering inventory costs through efficient stock control, reducing carrying costs, and minimizing expedited freight expenses.
  • Improving inventory accuracy ensures spare parts are readily available when and where needed.

Types of Inventory

Vessel inventory falls into three main categories:

  1. MRO Supplies: Spare parts and consumables supporting maintenance operations.
  2. Hardware: Tools, fasteners, vendor-managed stock, and consumables.
  3. Facility Supplies: Office equipment and janitorial essentials.

Efficient MRO management helps minimize costs, enhance operational reliability, and reduce downtime.


Best Practices for Inventory Management

  1. Preventive Maintenance for Stored Spare Parts: Regularly maintain critical components like gaskets, belts, and O-rings to ensure readiness.
  2. Vendor-Managed Inventory (VMI): Partner with suppliers to manage stock levels effectively.
  3. Cycle Counting: Use methods like ABC classification to maintain inventory accuracy.
  4. Obsolete Inventory Removal: Conduct monthly reviews to eliminate non-essential items.
  5. Salvage Operations: Reuse or recycle obsolete or scrapped materials.
  6. Streamlined Storeroom Layouts: Optimize layouts for efficient access and storage.
  7. FIFO Stocking: Use First-In, First-Out methods to avoid expired inventory.
  8. Defined Receiving Processes: Inspect and document incoming spare parts for quality control.
  9. Inventory Dashboards: Track key performance indicators (KPIs) for real-time insights.
  10. Secure Storage: Maintain physical security to protect inventory.

 Barriers to Effective Inventory Management

Key challenges include:

  • Inconsistent inventory classification methods.
  • Lack of standardized workflows and KPIs.
  • Poor coordination between departments.
  • Unaddressed obsolete materials in Computerized Maintenance Management Systems (CMMS).
  • Inefficient purchasing practices.

Addressing these barriers requires robust workflows, better inter-departmental communication, and modern inventory management tools.


Inventory Control Techniques

Effective control minimizes downtime, stockouts, and overstocking by:

  • Maintaining optimal inventory levels based on usage and historical data.
  • Securing inventory locations to prevent theft and damage.
  • Leveraging forecasting tools for better stock management.

Replacement Asset Value (RAV)

The Replacement Asset Value (RAV) of a vessel influences inventory decisions. Best practices suggest maintaining inventory levels at 0.50% to 0.75% of the RAV to balance operational readiness and cost-effectiveness.


Risk Management

Stocking critical parts requires:

  • Conducting Failure Modes and Effects Analysis (FMEA).
  • Evaluating supplier reliability and part availability.
  • Implementing preventive maintenance programs for high-risk components.

Loss Prevention in Inventory Management

To prevent losses due to theft, damage, or mismanagement:

  • Implement quality checks during receiving.
  • Enforce strict security measures.
  • Regularly audit inventory accuracy.
  • Maintain appropriate storage conditions for sensitive items.

Criticality Analysis

Using the equipment bill of materials (BOM), prioritize spare parts by their impact on operations. Components like bearings, electronic boards, and hazardous materials require special attention to meet safety and operational standards.


Efficient Stocking Levels

Define service levels for critical spares (100% availability), insurance spares (98%), and standard components (90–95%). Supplier accountability and minimum/maximum level reviews are essential for maintaining efficiency.


Carrying Costs

Carrying costs encompass interest, insurance, taxes, and storage expenses. Reducing slow-moving or obsolete inventory significantly lowers these costs while improving operational efficiency.


Role of a Storeroom Supervisor

Supervisors play a pivotal role by:

  • Ensuring storeroom cleanliness and organization.
  • Coordinating with maintenance for parts planning.
  • Monitoring inventory levels and maintaining KPIs.

Leveraging Technology for MRO Management

  1. Barcoding Systems: Enable real-time inventory tracking, reduce errors, and streamline processes.
  2. Machine Learning: Improve accuracy in demand forecasting and inventory classification.
  3. Computerized Maintenance Management Systems (CMMS): Enhance EAM integration for predictive maintenance and inventory control.

Storeroom Optimization Techniques

  1. Adopting 5S Practices: Sort, systemize, standardize, shine, and sustain for streamlined operations.
  2. Satellite Stores: Use strategically placed satellite storerooms to reduce downtime.
  3. Advanced Storage Solutions: To better utilize space, employ demand flow racks, sliding shelving, and carousel systems.

Continuous Improvement and KPIs

Measure KPIs such as inventory accuracy, stock-out rates, and carrying costs regularly to identify areas for improvement. Then, use these metrics to implement changes that enhance efficiency and reliability.


Conclusion

Adequate MRO inventory and spare parts management are foundational to vessel performance and cost control. By leveraging best practices, adopting modern technologies, and fostering cross-departmental collaboration, vessel operators can ensure optimal performance, reduced costs, and enhanced operational reliability.

Frequently Asked Questions (FAQs)

What is MRO inventory management in vessel operations?
MRO (Maintenance, Repair, and Operations) inventory management involves maintaining and controlling spare parts, tools, and supplies required for vessel maintenance and operations. Effective MRO management ensures vessel reliability, minimizes downtime, and optimizes costs.

How does preventive maintenance help in inventory management?
Preventive maintenance ensures that stored spare parts, such as gaskets, belts, and O-rings, remain in optimal condition. It reduces the risk of part failure during usage and helps maintain readiness for planned or emergency repairs.

What are the key benefits of using barcoding for inventory management?
Barcoding improves accuracy in tracking inventory, streamlines the receiving and issuing process, and enhances employee productivity. It reduces errors associated with manual data entry and provides real-time updates to inventory systems.

Why is the Replacement Asset Value (RAV) important in inventory planning?
RAV provides a baseline for determining the optimal value of MRO inventory to stock. Best practices recommend maintaining inventory levels at 0.50% to 0.75% of the RAV to balance availability and cost.

What role does a storeroom supervisor play in vessel management?
The storeroom supervisor ensures that inventory is organized, accessible, and maintained to support maintenance activities. They also coordinate with purchasing, planning, and technical teams to optimize inventory levels and improve operational efficiency.

How can technology improve MRO inventory management?
Technologies like barcoding, machine learning, and Computerized Maintenance Management Systems (CMMS) enhance accuracy, enable predictive maintenance, and streamline workflows. These tools help in real-time inventory tracking, demand forecasting, and efficient resource allocation.

Disclaimer:

Out of Box Maritime Thinker © by Narenta Gestio Consilium Group 2022 and Aleksandar Pudar assumes no responsibility or liability for any errors or omissions in the content of this paper. The information in this paper is provided on an "as is" basis with no guarantees of completeness, accuracy, usefulness, or timeliness or of the results obtained from using this information. The ideas and strategies should never be used without first assessing your company's situation or system or consulting a consultancy professional. The content of this paper is intended to be used and must be used for informational purposes only.

Friday, October 25, 2024

2.7. RELIABILITY-CENTERED MAINTENANCE (RCM) – PART II

 By Aleksandar Pudar

Technical Superintendent and Planned Maintenance Supervisor at Reederei Nord BV

Co-founder of "Out of Box Maritime Thinker Blog" and founder of Narenta Consilium Group.

2.7.1 DOCUMENTING RCM ANALYSES


The RCM analysis documentation serves multiple purposes that are critical to its success. Firstly, it offers a basis for defence and enables management to review and approve the RCM outcomes. Secondly, it provides regulators and classification societies with a means of audibility. Thirdly, it establishes a benchmark for system operation, which can aid in assessing the impact of changes and executing other risk management activities. Fourthly, it preserves institutional memory and captures the RCM team's expertise. Finally, documentation guarantees the sustainability of the RCM program by allowing for periodic updates based on real failure data and potential enhancements like new condition-monitoring technologies. Failing to document the RCM analysis can lead to costly and time-consuming updates, resulting in an outdated RCM program.


2.7.1 DOCUMENTING RCM ANALYSIS STEPS


It is essential to record all analysis steps and related information  to ensure thorough documentation of the RCM analysis; each step should include the following:

·         Results of the analysis step: The outcomes of each analysis step should be clearly documented. This includes identifying the potential failure modes, causes, effects, and recommended maintenance tasks or actions. The documentation should be specific and concise, and any uncertainties or assumptions made during the analysis should be noted.

·         Decision tools used: Any decision tools used during the analysis, such as risk matrices or decision trees, should be documented; this includes noting the tool used, any assumptions made, and the results obtained. This information can provide valuable context for future analysis and decision-making.

·         Pertinent information related to the step: Any relevant information related to the analysis step should also be documented. For example, whether specific equipment was excluded from the analysis or certain failure modes were deemed less critical should be noted. This information can be helpful in future analysis or for audit purposes.

By documenting each analysis step thoroughly, organisations can ensure that the RCM analysis is defendable, auditable, and adaptable to changes in equipment or operating conditions. This documentation can also aid in training new personnel, preserving institutional knowledge, and providing a foundation for continuous improvement.

2.7.1.1 DEFINING SYSTEMS

It is important to record the following information in either a tabular or paragraph format to ensure comprehensive documentation of the defining system step:

·         Description of relevant operating modes: This includes a detailed description of the different operating modes for the vessel, such as normal operation, standby, or emergency modes. This information provides context for understanding the equipment and system functions during various operating conditions.

·         Functional group breakdown and boundaries: A breakdown of the vessel's functional groups should be documented, along with the boundary for each group; this provides a clear understanding of the different functions and subsystems on the vessel.

 

·         Functional group and equipment partitioning: This involves partitioning the functional groups and equipment based on their criticality to vessel operations. This information is crucial in identifying which equipment requires maintenance and how often.

·         Decision tools/criteria used: The criteria used to select the functional groups for analysis should be documented. This information provides transparency and helps ensure the analysis is based on valid and defensible criteria.

·         Analysis priority and basis for decisions: The priority for analysing each functional group and the basis for those decisions should also be documented; this includes the rationale for why certain functional groups were deemed a higher priority and the factors considered in making those decisions.

·         The operating context for each selected functional group: Finally, the operating context for each selected functional group should be documented; this includes factors such as operating environment, duty cycle, and maintenance history, which can influence the risk of equipment failure.

2.7.1.2 IDENTIFYING FUNCTIONS AND FUNCTIONAL FAILURES

To ensure comprehensive documentation of functions and functional failures in the RCM analysis, the following must be documented:

·         Primary functions: These are the functions that are essential for the vessel's operation and should be identified and documented. This includes a description of the function, a verb (action), an object (what is being acted upon), and a performance standard (the level of performance required).

·         Secondary functions, including all protective functions, support the primary functions or protect against failure. They should also be identified and documented in the same manner as primary functions.

·         Functional failures related to primary and secondary functions: Each functional failure must be associated with the relevant function and documented in the same format as the functions; this includes a description of the failure, a verb (what is not being done as required), an object (what is affected by the failure), and a performance standard (the level of performance that is not being achieved).

Functions and functional failures can be documented in either a functional block diagram or in a tabular format. Whichever format is used, it is essential to ensure that each function and failure statement includes the necessary elements to provide a complete understanding of the vessel's functions and the potential failures that may occur.


2.7.1.3 CONDUCTING AN FMECA


The documentation for the Failure Modes, Effects, and Criticality Analysis (FMECA) step includes the following:

·         A description of how the FMECA was conducted: This describes the methodology and process used to conduct the FMECA. This information can help ensure that the analysis is consistent and reproducible.

·         A description of the risk-based decision tools used to assess criticality: This describes the decision tools used to evaluate the criticality of equipment failures. This information provides context for understanding how the criticality ratings were determined.

·         The FMECA worksheets: The FMECA worksheets document the analysis results, including the identified failure modes, their causes, the functional failures, and the end effects resulting from those failures.

The risk-based decision tools used in the FMECA are typically documented in a tabular format that includes:

·         A description of consequence categories: This outlines the potential consequences of failure, such as safety, environmental impact, or operational downtime.

·         A description of probability categories outlines the likelihood of a failure occurring, typically on a scale from low to high.

·         The risk matrix with risk levels identified: The risk matrix visually represents the criticality rating for each failure mode based on its consequence and probability. This allows for a quick and easy assessment of the risks associated with each failure.

The FMECA itself is documented in a tabular format that includes the following information:

·         The equipment failure mode/cause: This describes the specific equipment failure mode and its cause.

·         Functional failure: This describes the failure resulting from the equipment failure mode.

·         The end effect resulting from the functional failure outlines the potential consequences of the functional failure.

The criticality associated with the failure mode and resulting functional failure: This rates the criticality of the failure mode and resulting functional failure based on the identified consequence and probability categories.


2.7.1.4  SELECTING A FAILURE MANAGEMENT STRATEGY


The documentation for the task selection and implementation step in the RCM analysis should include the following:

·         The RCM decision diagram: This provides a graphical representation of the decision-making process used to select maintenance tasks or one-time changes based on the results of the FMECA. The decision diagram should identify when a one-time change is required or should be considered, the types and order of maintenance tasks to be considered, and when run-to-failure is an acceptable failure management strategy.

·         The task selection worksheets document the specific maintenance tasks or one-time changes proposed based on the decision diagram. The worksheets should be documented in a tabular format that includes relevant equipment failure mode/cause and criticality information from the FMECA, the decision point in the RCM decision diagram that is the basis for the proposed task or one-time change, the proposed tasks and their associated interval, and an evaluation of the risk reduction anticipated from implementing the proposed task and/or change.

·         A description of the RCM analysis process outlines the methodology and process used to conduct the RCM analysis. This information can help ensure that the analysis is consistent and reproducible.

·         The composition of the analysis team: This describes the individuals involved in the RCM analysis, their roles and responsibilities, and their qualifications.

·         Any analysis assumptions or exclusions: This outlines any assumptions or exclusions made during the analysis that may have influenced the results.


2.7.2 RCM PROGRAM SUSTAINABILITY


A maintenance program based on the RCM philosophy is not a static document but rather a dynamic one that requires continual refinement and updating throughout the vessel's operating life. Therefore, the vessel operator must be prepared to collect, analyse, review, and respond to in-service data continually to ensure the program remains effective; this information is used to refine the maintenance program through RCM analysis and update the program plan's procedures and processes.

The decisions made during an RCM analysis are also not static. The maintenance program must be continuously reviewed and refined as it undergoes changes due to equipment modifications and modernisation. Therefore, an organised information system is necessary to capture data from maintenance tasks' performance and other analyses, such as periodic root cause failure analyses. This information determines what refinements and modifications need to be made to the initial maintenance program and the need for other actions, such as product improvement or operational changes.

 

Monitoring and adjusting existing maintenance tasks, developing emergent requirements, and periodically assessing RCM-generated maintenance requirements meet these two purposes. In addition, analysts use this new information to revise RCM analyses, which may reflect the need for changes to the maintenance program.

By continually monitoring and adjusting the maintenance program through RCM analysis and using an organised information system to capture relevant data, organisations can ensure that their maintenance program remains effective throughout the vessel's operating life. This documentation can also aid in communication and understanding between stakeholders involved in the analysis.


2.7.2.1 SUSTAINING THE ANALYSIS


The following RCM sustainment processes can be applied to achieve the objective of the sustainment process in RCM analysis:

·         Performance monitoring: This involves monitoring the performance of the maintenance program and identifying areas where the program can be optimised or improved.

·         Failure trend analysis involves analysing failure data to identify any adverse trends and taking corrective action to address them.

·         Review of new equipment and system changes: This involves reviewing them to ensure they are incorporated into the maintenance program.

·         Maintenance program optimisation involves identifying and eliminating unnecessary requirements from the maintenance program to improve overall efficiency.

·         Root cause failure analysis involves conducting root cause failure analysis to identify the underlying causes of failures and taking corrective action to prevent similar failures.

·         Review of new technology: This involves reviewing new technology to determine whether it can be incorporated into the maintenance program to improve overall effectiveness.

The results of the sustainment process can effectively support RCM analysis updates and ensure that the maintenance program remains effective throughout the vessel's working life.


2.7.2.1.1 TREND ANALYSIS


A trend analysis is a valuable tool for identifying systems or components that may be degrading. The measurement factors used for trending may be condition-monitoring parameters (e.g., temperatures, pressures, and power) or the results of chronic root-cause failure analyses.

When performing trend analyses, the change in value, rather than the values themselves, is essential. Statistical measures such as mean and standard deviations can establish performance baselines and compare current performance levels to established control levels. Performance parameters can then be monitored, and causes can be investigated for those parameters that exceed control limits.

After the problem has been characterised, the related RCM analysis should be reviewed and updated as necessary. Other corrective actions should also be considered and implemented to reduce the causes of performance deviations.

The trend analysis results can also provide valuable information for ongoing maintenance program optimisation. For example, suppose the trend analysis identifies a particular system or component consistently performing below the established control level. In that case, the maintenance program can be adjusted accordingly, including more frequent inspections or extensive repairs to the affected system or component.

To ensure an effective maintenance program, trend analysis for repeat equipment failures and a comparison of machinery reliability before and after implementing the RCM-derived maintenance tasks are essential.

 

Repeat equipment failures can indicate underlying systemic issues that the initial RCM analysis may not have adequately addressed. Organisations can identify and address repeat equipment failures by tracking and analysing them to optimise their maintenance program.

Comparing machinery reliability before and after implementation of the RCM-derived maintenance tasks provides valuable insights into the effectiveness of the maintenance program. Metrics such as mean time between failures (MTBF) and mean time to repair (MTTR) can be tracked to assess the impact of the RCM-derived maintenance tasks on machinery reliability and identify areas for improvement.

Establishing trend analysis for these factors involves setting baselines and tracking changes over time using statistical measures to identify significant changes in performance. The trend analysis results can then be used to update the RCM analysis and optimise the maintenance program accordingly.


2.7.2.1.2 MAINTENANCE REQUIREMENTS DOCUMENT REVIEWS


Documents containing maintenance requirements should be periodically reviewed to identify outdated processes, techniques, or technologies, as well as obsolete tools and supplies, to ensure the effectiveness and efficiency of the maintenance program. These document reviews provide opportunities to update maintenance requirements and improve their effectiveness or reduce life-cycle costs.

In addition, service bulletins from equipment manufacturers should be regularly reviewed and evaluated for their impact on the RCM program. These bulletins can provide valuable information, such as new condition-monitoring techniques and updated life limits for components.


2.7.2.1.3 TASK PACKAGING REVIEWS


Task packaging is an essential process in the maintenance program. It involves incorporating several RCM-derived maintenance tasks into optimum uniform intervals, such as during a vessel's scheduled dry-docking. Maintenance tasks remain in the same packaged intervals as they are modified and updated.

However, the initially packaged interval may no longer be optimal over time. Therefore, periodic task packaging reviews are essential to evaluate the packaged maintenance intervals and ensure that optimum intervals are maintained, even as maintenance tasks are added, deleted, or modified.

Organisations can ensure their maintenance program remains effective and efficient by conducting periodic task packaging reviews. This documentation can also aid in communication and understanding between stakeholders involved in the analysis. In addition, task packaging reviews provide an opportunity to evaluate the maintenance program and identify areas where improvements can be made to optimise the maintenance intervals and reduce life-cycle costs.


2.7.2.1.4 AGE EXPLORATION TASKS


In cases where insufficient age-to-failure data or assumed data are used during the initial RCM analysis, age exploration tasks may be designed and implemented. However, an effective RCM program will require frequent changes to the age exploration program, such as adding new equipment, deleting completed or unproductive tasks, or adjusting task intervals.

Age exploration tasks result in a better understanding of the system or equipment's wear-out region of the failure characteristics curve. This information can be used to update the RCM analysis, thereby improving the accuracy of the maintenance program. In addition, the RCM analysis should guide the implementation of age exploration tasks.

By conducting age exploration tasks, organisations can gain valuable insights into the wear-out region of the failure characteristics curve and identify areas where maintenance tasks can be optimised to improve the overall effectiveness and efficiency of the maintenance program. This documentation can also aid in communication and understanding between stakeholders involved in the analysis. Regularly reviewing and updating the age exploration program as needed ensures that the maintenance program remains effective and efficient throughout the vessel's operating life.

 

2.7.2.1.5 FAILURES


An effective RCM program should have a process for addressing failures (loss events) and other unpredictable events and determining the appropriate response or corrective action. This process is essential to ensuring the safety and reliability of vessels and optimising the maintenance program.

A root cause analysis should be the first step taken to develop an understanding of the failure or loss event. This analysis uses a structured process to identify areas that require further analysis, such as maintenance, operations, design, and human factors. The key steps in a root cause failure analysis include:

         Identifying the failure or potential failure

         Convening a trained team suitable for addressing the issues posed by the event

         Gathering data to understand how the event happened

         Performing a root cause failure analysis to understand why it happened

         Generating corrective actions to prevent it and similar events from recurring

         Verifying that corrective actions are implemented

         Putting all of the data related to the event into an information system for trending purposes

By following these steps, organisations can address failures and other unpredictable events in a timely and effective manner; this helps to ensure that their vessels remain safe and reliable and that their maintenance program remains optimised.

When a failure or other unpredicted event occurs, the results of reviewing the RCM analysis should be considered when determining a response. An RCM review should be part of the overall methodology to determine if changes in maintenance requirements are necessary. This review can indirectly aid in deciding if corrective actions are required. Any decisions not to update the RCM analysis should be documented for audit purposes.

During the RCM review, several questions should be addressed, such as whether the failure mode is already covered, whether the failure consequences are correct, whether the reliability data are accurate, whether the existing task is adequate, and whether the related costs are accurate. If new or previously unlikely failure modes are significant, the RCM analysis should be updated. Existing analyses for failure modes may also be inadequate for various reasons, such as changes to mission requirements or operator and maintenance procedures.

Failures and other unpredicted events can be identified through several sources, such as defect reports issued by maintenance engineering or the vessel's crew, defects discovered during routine vessel repairs in a shipyard, vendor and original equipment manufacturer reports related to inspections, rework, or overhauls, design changes, and test results. If any of these events require RCM review and update, it should be done promptly to ensure that the maintenance program remains effective and reliable.

 


2.7.2.1.6 RELATIVE RANKING ANALYSIS


To effectively prioritise maintenance tasks, it is crucial to rank equipment or systems based on their impact. Various measurement factors can be used to develop this ranking, including maintenance man-hours, maintenance man-hours per operating hour, equipment downtime, maintenance actions per operating hour, cost of lost production, and cost of repair.

Identifying the highest contributors requires detailed data analysis and communication with operators and maintainers. It is important to note that this analysis only identifies the worst-performing items, not those in the degradation process. Some items may naturally appear at the top of the list due to their nature and use.

Further RCM analyses may benefit these top-performing items, and other analysis techniques, such as root cause analysis, may need to be employed to improve their performance. A comprehensive approach to prioritising maintenance tasks can help ensure that limited resources are allocated to the most critical equipment or systems, optimising maintenance efforts and minimising the risk of equipment failures.


2.7.2.1.7 OTHER ACTIVITIES


Internal audits by the operator can lead to changes in the RCM analysis and/or preventative maintenance tasks. In addition, these audits may identify areas for improvement in the maintenance program, including potential gaps or inconsistencies in the RCM analysis.

Based on the internal audit findings, the operator may need to update the RCM analysis to reflect any changes in equipment or operating conditions, revise maintenance tasks or intervals to address identified gaps or inefficiencies or implement new processes or procedures to improve the effectiveness of the maintenance program.

Operators need to prioritise continuous improvement efforts through regular internal audits and reviews of the maintenance program to ensure that the RCM analysis and preventative maintenance tasks remain practical and up-to-date.


2.7.2.2 RESULTS OF SUSTAINING EFFORTS


Sustaining efforts can also change the RCM analysis or existing maintenance tasks. These changes may include:

·         Refining maintenance task intervals: Through the collection and analysis of data during sustaining efforts, it may be determined that an existing maintenance task is not being performed at its most effective interval. This data can refine the assumptions used to establish the interval during the initial RCM analysis and improve the task interval's effectiveness.

·         Adding, deleting, or modifying maintenance tasks: Sustaining efforts may also identify maintenance tasks that need to be added, deleted, or modified to improve the effectiveness of the maintenance program.

·         Modifying age exploration tasks: Sustaining efforts may require modifying age exploration tasks to improve their effectiveness.

·         System or equipment redesign: Due to sustained efforts, it may be determined that a system or equipment redesign is necessary to improve performance or reduce maintenance requirements.

·         Operational changes or restrictions: Sustaining efforts may also identify the need for operational changes or restrictions to reduce the likelihood of failures or improve overall system performance.


2.7.2.3 RCM PROGRAM EFFECTIVENESS ASSESSMENT


Operational availability measures the percentage of time that the equipment is available for its intended purpose and can be used to assess the effectiveness of the RCM program. The program's effectiveness can be evaluated by comparing the operational availability before and after the implementation of the RCM-generated maintenance tasks. In addition, the mean time between failures (MTBF) and the mean time to repair (MTTR) can also be used to assess the program's effectiveness in reducing equipment failures and improving repair times.

Overall, a successful RCM program should show decreased maintenance costs, increased operational availability, and reduced frequency and severity of equipment failures. These metrics should be regularly monitored and reported to management to demonstrate the program's effectiveness and identify improvement areas."

Measuring the availability of equipment or systems before and after implementing an RCM program can indicate the effectiveness of RCM-generated tasks. For example, without an RCM program, some equipment may require extensive unscheduled maintenance, negatively impacting availability. Conversely, equipment subject to too much maintenance can also affect availability.

In addition to measuring availability, several other relevant maintenance metrics can be used to monitor the effectiveness of the RCM program. These metrics include compliance with the RCM maintenance plan, safety performance metrics such as the number of recordable incidents or incident rate, environmental performance metrics such as permit exceedances or average emission rates, miles/ton of fuel, asset downtime, number of breakdowns, port maintenance days, and a comparison of actual maintenance costs to budgeted maintenance costs.

 

2.7.3 RCM & PREVENTATIVE MAINTENANCE PLANS – EXISTING VESSEL APPLICATION


RCM analyses can be performed on existing machinery systems where the vessel's owners and operators have significant operating and maintenance experience. While the current proactive/preventative maintenance plan may be satisfactory, it may be excessive or fail to address specific equipment failure modes. RCM analysis can verify the existing plan's effectiveness, identify previously unaddressed failure modes, and identify unnecessary maintenance activities.

Various methods are available to streamline RCM analyses and reduce the time and effort required. However, any analysis must address all the system's failure modes. Failure to do so may result in an inadequate preventative maintenance plan, which could lead to preventable consequences. Therefore, it is important to ensure that any RCM analysis considers all potential failure modes.


2.7.3.1 SYSTEM TEMPLATES


Many marine systems and equipment installed on various vessels share similarities in their arrangement and purpose. To assist Owners/Operators, we have created several templates for piping systems and equipment. These templates are partially completed Failure Modes and Effects Analyses and include a high-level system schematic, a detailed system schematic, a list of system functions, and suggested functional failures. They also provide a failure modes and effects analysis, including system equipment item/components, suggested failure modes, possible causes, local effects, functional failures, end effects, and failure detection and corrective measures (indications and safeguards). While these templates can reduce the time needed for a thorough analysis and provide consistent analysis to Owners/Operators, individual vessel classes may have unique features or failure modes not included in these templates. Therefore, the Owner/Operator is responsible for verifying and revising these templates to represent the systems onboard accurately.

 

 

References & Bibliography:


  • Alfiani, D., Surdini, I. and Djatmiko, E., 2021. Determination of Maintenance Task on Tanker Vessel's Marine Boiler Using Reliability Centered Maintenance (RCM II) Method. Available at: https://www.researchgate.net/publication/354347868_Determination_of_Maintenance_Task_on_Tanker_Vessel's_Marine_Boiler_Using_Reliability_Centered_Maintenance_RCM_II_Method [Accessed 2 July 2022].

  • Novitasari, D., Lienard, C. and Wijaya, D., 2021. The Combination of Reliability and Predictive Tools to Determine Ship Engine Performance Based on Condition Monitoring. Available at: https://www.researchgate.net/publication/350303270_The_Combination_of_Reliability_and_Predictive_Tools_to_Determine_Ship_Engine_Performance_based_on_Condition_Monitoring [Accessed 2 July 2022].

  • Nugroho, S., Susanto, A., Harahap, E. and Prayogo, T., 2021. Application of Reliability-Centered Maintenance for Tugboat Kresna 315 Cooling Systems. Available at: https://www.researchgate.net/publication/350148670_Application_of_Reliability-Centered_Maintenance_for_Tugboat_Kresna_315_Cooling_Systems [Accessed 2 July 2022].

  • ATPM Co., Ltd., n.d. Reliability-Centered Maintenance. Available at: http://www.atpm.co.kr/5.mem.service/6.data.room/data/treatise/5.reliability/5.reliability_01.pdf [Accessed 2 July 2022].

  • Kassapi, M. and Charalambous, G., 2009. Increasing Ship Operational Reliability Through the Implementation of a Holistic Maintenance Management Strategy. Available at: https://www.academia.edu/962903/Increasing_ship_operational_reliability_through_the_implementation_of_a_holistic_maintenance_management_strategy [Accessed 2 July 2022].

  • American Bureau of Shipping, 2018. Reliability-Centered Maintenance. Available at: https://ww2.eagle.org/content/dam/eagle/rules-and-guides/current/design_and_analysis/132_reliabilitycenteredmaintenance/rcm-gn-aug18.pdf [Accessed 2 July 2022].

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    Disclaimer:

    Out of Box Maritime Thinker © by Narenta Consilium Group 2022 and Aleksandar Pudar assumes no responsibility or liability for any errors or omissions in the content of this paper. The information in this paper is provided on an "as is" basis with no guarantees of completeness, accuracy, usefulness, or timeliness or of the results obtained from using this information. The ideas and strategies should never be used without first assessing your company's situation or system or consulting a consultancy professional. The content of this paper is intended to be used and must be used for informational purposes only.

     

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