LinkedIn

Showing posts with label IACS. Show all posts
Showing posts with label IACS. Show all posts

Sunday, June 1, 2025

NGC Code: The Intelligent Backbone of Maritime Asset Management

 

A White Paper by Narenta Gestio Consilium


Introduction: From Fragmentation to Fleet Intelligence

In today’s maritime industry, asset management is no longer just about maintenance logs and part lists—it is about interconnected systems, data-driven decisions, and regulatory foresight. The long-standing legacy coding structure, though historically significant, lacks the agility and digital readiness needed in modern shipbuilding, fleet operations, and ESG compliance.

Enter the NGC Code—a comprehensive maritime classification and asset intelligence framework developed by Narenta Gestio Consilium (NGC). Purpose-built to unify technical, operational, digital, and compliance domains, it represents a leap forward in how maritime assets are managed—from engine spares to AI-linked predictive tasks, from drydocking plans to environmental controls.

1. Why the NGC Code?

The NGC Code is not a rebadged legacy system. It is engineered from the ground up to solve critical maritime challenges:

1.1 Unified Maintenance Intelligence

  • Supports Preventive (PM), Condition-Based (CD), Predictive (PdM), and Prescriptive (RxM) strategies.
  • Aligns job frequencies with onboard conditions, risk profiles, and CBM analytics.

1.2 Automated Regulatory Traceability

  • Each job, component, and spare is tagged with compliance relevance: ISM, Class, SOLAS, MARPOL, IMO, and EU ETS.
  • Facilitates paperless surveys, inspections, and flag reviews.

1.3 Intelligent Spare Part Classification

  • Precise categorisation: Critical (CS), Essential (ES), Consumable (CO/OC), with hazard linkage (IMDG Class 1–9).
  • Enables stock-level alerts, job-triggered ordering, and cost-based planning.

1.4 Digital Twin & AI Integration

  • Each equipment tag can link to real-time diagnostics, XA-tagged AI modules, and prescriptive analytics.
  • Supports logical asset management aligned lifecycle modelling.

1.5 Cross-Vessel & MRP Integration

  • Applies across entire fleets for comparability, budgeting, and MRP supplier linkage.
  • Interfaces with financial and ERP systems via standard GL/NGC mappings.

2. Inside the NGC Code Structure

PART-ID Format

SUP-NGC-AA-NNN-Axx-Ayy-CCC
e.g.,
SUP-NGC-MM-FA-001-A20-A11-CS0

  • AA = Function (e.g., FA = Diesel Engine)
  • NNN = Equipment (e.g., 001 = Main Engine)
  • A20 = Component Group (e.g., Cylinder Liner)
  • A11 = Part Detail (e.g., Gasket)
  • CS0 = Spare class + hazard (e.g., Critical + Non-Haz)

JOB-ID Format

JOB-NGC-AA-NNN-Axx-III
e.g.,
JOB-NGC-MM-FA-001-A20-10Y

  • Defines job, interval, strategy, and links to AI and parts.

Boolean Flags for Decision Filters

  • CRIT_EQP, ENV_CRIT, ISM, CLASS_SURVEY, REGULATORY_TASK, LINKED_AI

3. PMS Grouping & Overhaul Triggers

  • Each equipment (e.g., EQ-NGC-MM-FA-001) is linked to a PMS_GROUP_ID (e.g., PMS-NGC-MM-FA-001).
  • All associated jobs fall under this umbrella, enabling structured display, filtering, and automation.
  • Spare part reorder logic is tied to job intervals and supplier lead times—e.g., for a 10-year cylinder overhaul, reorder flags are triggered at a 12-month offset if the lead time is 10 months.

4. Supplier & Inventory Integration

NGC is directly mapped to a classified Master Supplier List, segmented as:

  • MKR-xxx – OEM/Makers
  • CNS-xxx – Consumables & general
  • SRV-xxx – Service providers

Each is assigned:

  • NGC Code(s) served
  • Standards: ISO 9001, 14001, 45001, OSHA, BizSAFE
  • Class/Flag approvals, audit readiness, and scope (local/global)

This data connects to MRP inventory and MPMS tasks to ensure automated sourcing.

5. Alignment with Asset Management

The NGC Code is built on logical asset management principles, including:

Asset Management Requirement

NGC Implementation

Asset Definition

Every asset, job, and part is assigned a unique, structured identifier (e.g., NGC-MM-FA-001).

Lifecycle Strategy

Jobs aligned with time/condition intervals, spares tagged by CRIT level.

Risk-Based Planning

Uses CRIT_EQP, ENV_CRIT + MTBF/RCM integration.

Policy Integration

AM policy references the NGC structure as the classification backbone.

Continuous Improvement

Feedback from overdue jobs, spare usage, and audits revises PMS.

6. Use Case Snapshot: Main Engine PMS

Component

Code

Spare

Strategy

Job ID

Cylinder Liner

A20

CS0

PM + RxM

JOB-NGC-MM-FA-001-A20-10Y

Piston Crown

A30

CS0

PM + RxM

JOB-NGC-MM-FA-001-A30-05Y

Fuel Pump

A40

ES0

PM

JOB-NGC-MM-FA-001-A40-03Y

Gasket Kit

A50

CO0

PM

JOB-NGC-MM-FA-001-A50-03Y

Conclusion: NGC = Structured Intelligence for the Maritime Asset Future

The NGC Code is more than a framework—it’s a decision-enabling, compliance-aligned, and future-proof operating model for fleet managers, shipyards, and owners.

It replaces fragmented tracking and reactive planning with:

  • Real-time decision logic
  • Logic-aligned asset control
  • Spare-part lifecycle accuracy
  • Supplier performance traceability
  • Prescriptive maintenance integration

For shipbuilders, operators, and regulators seeking a single source of operational truth, the NGC Code is your foundation.

Next Steps:

Ready to audit-proof your PMS, digitise your vessel lifecycle, or streamline MRP? → [Contact Narenta Gestio Consilium for a pilot implementation or digital demo.- Use Blog Contact Form.]

Friday, February 28, 2025

3.2. WORK MEASUREMENT

By Aleksandar Pudar

Technical Superintendent and Planned Maintenance Supervisor Reederei Nord BV

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

3.2.1 INTRODUCTION.


Various work measurement methodologies aim to provide standard data determining the time required to complete specific tasks related to vessel operation, maintenance, or construction. The techniques remain the same whether the resulting standards are utilised for workforce management on a straight-time basis or for labour control alongside wage incentives. Critical methodologies for establishing work measurement standards are discussed in terms of their principles, procedures, advantages, and disadvantages. Examples of their development and application in the maritime context are also provided.


3.2.1.1 PARTICIPATION WITH MAINTENANCE ENGINEERING IN MEASURING WORK AND ESTABLISHING STANDARDS.


In the context of the marine industry, let us consider the roles of technical superintendents and onboard engineers (Chief Engineer, 2nd Engineer); these two managerial groups, managerial (line) and specialised roles (crew), share the common objective of enhancing productivity and reducing operational costs through various management methods. However, it is not unusual for these two groups to be at odds rather than working in harmony. Achieving successful vessel operations and maintenance control relies on complete cooperation and coordination between these two functional groups. Therefore, their potential differences and conflicts should be managed effectively to meet shared productivity and cost-efficiency goals.


3.2.1.1.1 SUPERVISOR'S OR TEAM LEADER'S ROLE (Technical Superintendent -TSI )


As the front-line administrator, the TSI is crucial in implementing management methods and policies on the vessel. Imagine a shipping company with highly skilled marine, mechanical, electrical, and chief engineers. Through their technical expertise, these engineers consistently devise valuable improvements within their areas of responsibility. However, these enhancements are of no use unless they are implemented in the vessel's operations. The TSI is the only person who can do this. They are responsible for the ship where the work is carried out, where labour, material, and overhead costs are tangible realities, not merely figures on a spreadsheet.

Many former Chief Engineers hold the position of TSI within the maintenance function. However, many of these individuals may still harbour the same resistance to change that they had as Chief Engineers. Therefore, the management has to take these courses of action:

·         If TSI can manage costs, they should be trained in every aspect of management theory and control practices. The aim is not to have them perform the control function exclusively but to appreciate and understand management controls. They should also accept, support, and enjoy the competitive challenge of management in the cost-reduction field within vessel operations.

·         If the TSI is incapable of managing costs or is resistant to changes, it might not be adaptable to progress, which is vital for the future of any shipping company. In such cases, management should consider assigning them to a different role where their skills could be better utilised.

 

 

3.2.1.1.2 MAINTENANCE ENGINEER'S ( CHIEF ENGINEER, 2ND ENGINEER)  ROLE.


The Chief Engineer and Second Engineer are technical resources to the vessel's master and TSI.

Engineers often have innovative ideas but must balance them with good management practices. New projects or activities can usually be developed too far without including the vessel team. This approach does not allow the team to contribute their practical experience and knowledge to advance the project. A more effective approach is to involve the vessel team via the Chief Engineer as a point of contact early on in the process, seeking their suggestions and getting them invested in the project so that they become willing participants.

A good strategy is to form a small committee of the people involved in launching a specific project, with one of the junior engineers as a chairman; this ensures their active participation and makes them feel more committed to the project's success.

Successful project completion is often followed by a sense of pride, which is a part of the job. However, a track record of success on preceding projects is necessary to be given more challenging tasks and the freedom to work on future projects. A letter from the TSI to the vessel team acknowledging their participation and estimating the value of the results from the first year of operation under the improvements will make the crew more receptive to participating in future projects.

The Chief Engineer and Second Engineer will only succeed when other management personnel approach them with basic ideas or ask for assistance with trouble spots. They are more likely to succeed when they are responding to requests for work rather than having to convince others to participate in projects they have initiated.

The engineers have worked with logic and facts. The vessel team implements the results of this logical and factual procedure. Their challenge lies in dealing with people. A successful implementation depends upon acceptance by the majority of the crew, which is often a more significant challenge than obtaining results from logic and facts.

The Chief Engineer must directly engage with crew members when introducing work-measurement standards to demystify the process. The TSI should present each new standard or standard-data series lead. They must explain the new standard with a confident, forward-thinking approach rather than a hesitant, reticent one. Through this introduction, the TSI must instil confidence and inspire the crew members to give the standard a fair trial. Here are some points the TSI should highlight when introducing new standards:


·         The job was time-studied under normal operating conditions.

·         The standard was developed based on these conditions.

·         The job will continue to be performed under the same conditions, or the standard will be adjusted.

·         They have thoroughly reviewed the standard and believe it to be fair and achievable.

·         The standard will be given a fair trial.

·         They hope the crew members will perform well under the standard.


The training program for crew should aim not to make the TSI or Chief Engineer perform all the control functions but to help them:


·         Understand and appreciate controls.

·         Recognise the need for assistance from crew groups.

·         Immediately call the proper crew function when action is required.

·         Be equipped to use control functions to evaluate their performance.


With this outlook and method of operation, the most successful work-measurement program requires the most participation and responsibility from the TSI or Chief Engineer.

This approach is not commonly adopted in the marine industry. In a recent comparison of the advantages and disadvantages of various work measurement methods, one disadvantage was the requirement for cooperation from the Chief Engineer and crew; this indicates a need for a shift in the mindset and operations of management in that company. Costs cannot be controlled without the active participation of the person primarily responsible for material usage and work completion.


3.2.2 METHODS


Creating standardised work descriptions for maintenance tasks aboard tanker vessels necessitates a holistic approach emphasising engineering best practices and compliance with international maritime standards and regulations. Key steps in this process include:


1.        Standardisation of Tasks: The standardisation of tasks is fundamental to method studies in marine maintenance. Before any task can be measured, there needs to be a standard method of execution. Crew members must be trained in this method. The collected data from work measurements are based on this method, enabling the determination of crew member efficiencies against different tasks. If there are changes in work methods, the standards must be re-evaluated to determine the time required to accomplish the task under the new method.

2.        Regulatory Alignment: Standard methods and work descriptions must comply with guidelines set by the International Maritime Organization (IMO), Oil Companies International Marine Forum (OCIMF), Standards of Training, Certification and Watchkeeping (STCW), and Maritime Labor Convention/International Labor Organization (MLC/ILO).

3.        Task Analysis: Undertake a detailed analysis of tasks to ascertain the exact nature of the work, including the necessary tools, equipment, skills and knowledge; this should consider any specific directives or considerations set by the OCIMF, STCW, and MLC/ILO.

4.        Standard Operating Procedures (SOPs): Develop SOPs based on the task analysis, which provide a precise sequence of steps for each task. These should adhere to engineering best practices and comply with all relevant regulations.

5.        Risk Evaluation: Identify potential hazards associated with each task and formulate strategies to mitigate these risks, adhering to any safety measures mandated by the OCIMF, STCW, and MLC/ILO.

6.        Skill Requirements: Determine the qualifications, training, and certifications necessary to execute each task in line with the STCW and MLC/ILO requirements.

7.        Time and Motion Studies: Conduct these studies to establish the time needed for each task and optimise workflows, aiding in planning and scheduling maintenance tasks.

8.        Feedback Incorporation and Continuous Enhancement: Collect and incorporate feedback from crew members performing these tasks, using this valuable insight to refine work descriptions continuously.

9.        Documentation and Regular Review: All work descriptions should be documented and easily accessible to all relevant crew members. Regular reviews and updates are necessary to keep them accurate, appropriate, and in line with changes to engineering best practices or maritime regulations.

Standard work descriptions can facilitate safe, efficient, and compliant maintenance operations aboard tanker vessels.


3.2.2.1 PROVIDING HANDLING EQUIPMENT.


3.2.2.2 STANDARDISATION OF CREWS -IMO, STCW & ILO/MLC


Standardisation of crew roles, responsibilities, and work methods aboard marine vessels is paramount for operational efficiency, safety, and regulatory compliance; this involves adherence to international standards set by the International Maritime Organization (IMO), Standards of Training, Certification and Watchkeeping (STCW), and the International Labour Organization/Maritime Labour Convention (ILO/MLC).

 

The IMO sets global standards for international shipping safety, security, and environmental performance, providing a universally adopted and implemented regulatory framework. The STCW establishes comprehensive minimum training, certification, and watchkeeping standards for seafarers, outlining mandatory requirements for the training and qualification of masters, officers, and watch personnel on seagoing merchant ships. The ILO/MLC sets minimum working and living standards for all seafarers, covering various matters, including working hours, health and safety, crew accommodation, and contractual arrangements.

Aligning crew roles and responsibilities with these international regulations involves several key steps:


1.        Training and Certification: Ensuring that all crew members meet the training and certification requirements per the STCW Convention, with ongoing training for skill maintenance and updates.

2.        Working Conditions: Adhering to the MLC's standards for working conditions, including work and rest hours, wage payment, onboard living conditions, health protection, medical care, and social security.

3.        Safety Procedures: Implement safety procedures according to IMO standards, including emergency preparedness, communication protocols, and safe operational practices.

4.        Documentation: Update the documentation for all crew members, including their training certifications, work contracts, and health records, ready for review and inspection.

5.        Regular Reviews: Conduct regular reviews and audits to ensure compliance with IMO, STCW, and ILO/MLC standards.


In addition to standardising roles and responsibilities, it is also crucial to standardise materials, equipment, and work methods for accurate planning, scheduling, and measurement of maintenance work; this includes determining optimal crew sizes based on physical limitations, safety considerations, and task urgency, using work studies on a job, equipment, or craft basis.

For instance, consider a repetitive job that initially required a three-person crew. After implementing changes, the task could be completed by just the operator and one helper, and further improvements could enable the operator to complete the task alone.

In areas requiring multiple pieces of equipment, the weight of the material handled determines the crew size. Work should be scheduled by crew size, with standard data for work measurement correlating to this. Standards for two- and three-man crews should be provided for jobs requiring variable crew sizes.

For craft-based tasks, determining optimal crew size might be less straightforward. First, however, standard work methods must be established for each craft, and the most efficient crew size is determined through a work type and quantity review. This method then establishes the work-measurement standard.

Adhering to these practices and standards can help shipping companies ensure safe, efficient, and compliant operations, thereby promoting the welfare of crew members and contributing to the overall safety and efficiency of the global shipping industry.


3.2.2.3 EQUIPMENT RECORDS.


Effective management and control of marine maintenance operations, including planning, scheduling, and work measurement, hinge on maintaining comprehensive equipment records on board. These records streamline maintenance work and ensure compliance with safety regulations and standards set by governing bodies such as the International Maritime Organization (IMO) and the Standards of Training, Certification and Watchkeeping (STCW).


Key elements that should be featured in these marine equipment records include:


1.        Equipment Identification and Specifications: Essential details such as the equipment's name, model, and specification numbers should be recorded. This information is invaluable for planning and work-measurement functions. It allows for the precise parts to be identified and located before repair work commences, minimising delays and nonproductive time.

2.        Installation Date: Recording when the equipment was installed can help determine its age, which is vital for planning preventive maintenance and estimating its remaining service life.

3.        Maintenance and Breakdown History: A comprehensive record of all past maintenance activities and breakdowns helps identify recurring issues and understand the causes of recurrent equipment failure. If design or installation issues are identified, corrective measures can be taken. If these factors are not the cause, each type of breakdown should be analysed to assess the possibility of reducing or eliminating such issues.

4.        The preventive Maintenance Schedule and History indicate when the following preventive maintenance is due based on the manufacturer's recommendations or the equipment's maintenance history. If recurrent breakdowns cannot be avoided, proactive maintenance measures may need to be planned, and work-measurement standards can be developed based on preventive maintenance procedures.

5.        Spare Parts Record: This includes the minimum and maximum levels of spare parts inventory for each piece of equipment. Ensuring critical parts are always available on board is crucial to prevent extended equipment downtime. In addition, after analysing part requirements, ensuring enough parts are needed for equipment repair and maintenance is vital.

6.        Certification and Compliance Documents: Any documents or certificates demonstrating that the equipment complies with the relevant safety and performance standards.

7.        Manufacturer's Manual: This provides detailed instructions on the equipment's operation, maintenance, and troubleshooting.


Additionally, when it comes to repairing or producing parts for equipment, a job lot approach is often more efficient and economical; this method involves processing multiple parts at once rather than individually, spreading job preparation and setup costs over a larger number of pieces, and allowing for more efficient crew scheduling.

Regularly updating and reviewing these equipment records aids in ensuring the smooth operation of the vessel, minimising equipment downtime, and promoting crew safety and well-being. In addition, these records should be readily accessible for inspection by the crew, management, and regulatory authorities as required.


3.2.2.4 PLANNING AND SCHEDULING


In marine engineering, effective planning and scheduling of maintenance tasks are critical for ensuring the smooth operation of vessels and minimising downtime. This section delves into how work measurement data is crucial for the strategic organisation of these tasks.


Importance of Planning and Scheduling


·         Efficiency and Productivity: Proper planning and scheduling enhance efficiency and productivity. They ensure that tasks are completed in the most efficient order, optimally utilising the available resources.

·         Downtime Reduction: Proactive maintenance activity scheduling can significantly reduce unplanned downtime. This is particularly crucial in the marine industry, where downtime can have significant financial and operational repercussions.


Key Components


·         Resource Allocation: Involves assigning the right personnel with the appropriate skills to specific tasks. It also encompasses allocating necessary tools, equipment, and materials, ensuring they are available when needed.

 

·         Time Management: Time management is about setting realistic timelines for each task, considering the complexity and urgency of the work. This involves estimating and scheduling how long tasks will take to avoid conflicts and overlaps.

·         Prioritisation of Tasks: Not all maintenance tasks have the same level of urgency or impact. Prioritising tasks based on their importance and urgency ensures that critical issues are addressed first, reducing the risk of significant operational disruptions.

·         Use of Work Measurement Data: Work measurement data, such as time studies and standard task durations, are vital in planning. This data helps create realistic schedules and timelines, setting achievable goals for maintenance teams.


Strategies for Effective Planning and Scheduling


·         Predictive Maintenance: Utilising predictive maintenance techniques, such as condition monitoring and performance data analysis, to schedule maintenance tasks before failures occur.

·         Preventive Maintenance Scheduling: Regular, routine maintenance activities based on time intervals or usage metrics to prevent breakdowns and extend equipment life.

·         Flexibility and Adaptability: Building flexible schedules to accommodate unexpected changes or emergency repairs without significantly disrupting planned activities.

·         Balancing Workload: Ensuring the workload is evenly distributed among crew members to avoid overburdening and ensure optimal workforce utilisation.

·         Continuous Improvement: Regularly reviewing and adjusting schedules based on performance data, crew feedback, and changes in operational priorities.


Challenges and Solutions


·         The unpredictability of the Marine Environment: The marine environment presents unique challenges, such as weather conditions and logistical constraints. Effective planning should include contingency plans to handle such unpredictability.

·         Integration with Operational Requirements: Maintenance schedules must be aligned with the vessel's operational requirements, ensuring that maintenance does not interfere with critical operations.

·         Crew Training and Competency: It is vital to ensure that the crew is adequately trained and competent to perform scheduled tasks. Regular training and upskilling should be part of the planning process.

·         Technology Utilisation: Leveraging technology, like maintenance management software, can significantly enhance the efficiency of planning and scheduling processes.


3.2.2.5 JOB STANDARDS—TIME STUDY


Time study is a fundamental method of work measurement used to establish job standards in marine engineering maintenance. It systematically measures and records the time required to perform tasks under specified conditions. These measurements are then analysed to develop standards that reflect how long tasks should take when performed by qualified personnel working at an average pace.


Process of Conducting Time Studies


·         Selection of Tasks for Study: Identify representative tasks critical to vessel maintenance and operations. These tasks should be regular enough to warrant a time-consuming study.

·         Preparation and Planning: Understand the task in detail before conducting the study. This includes gathering all necessary tools, equipment, and documentation. The process might involve preliminary observations to familiarise the task and refine the study's scope.

 

·         Time Measurement: Use appropriate timing devices (like stopwatches or digital timing tools) to measure the duration of each task element. This measurement should be repeated several times to account for variability and ensure accuracy.

·         Recording and Analysis: Record all observations meticulously, including the task steps, time taken, and conditions under which the task was performed. Analyse this data to determine the average time required for each task component.

·         Establishment of Allowances: Add allowances for fatigue, personal needs, and delays. These allowances are crucial to setting realistic and fair job standards that acknowledge the human aspects of work.

·         Calculation of Standard Time: Combine the average time for the task with the allowances to calculate the standard time for each job.


Importance of Time Studies


·         Benchmarking and Performance Measurement: Time studies provide a basis for benchmarking performance and measuring productivity. They help identify best practices and areas needing improvement.

·         Resource Allocation and Scheduling: Knowing how long tasks should take allows for more effective scheduling and resource allocation, optimising workforce utilisation and minimising idleness or overload.

·         Cost Estimation and Control: Job standards derived from time studies are essential for accurate cost estimation and control, as they provide a basis for labour cost predictions and budgeting.

·         Training and Development: Time studies can identify the skills and techniques that lead to efficient task performance, which can be used to guide training programs.


Challenges and Considerations


·         Variability in Work Conditions: Marine engineering tasks might vary due to different vessel types, equipment conditions, or environmental factors. Time studies should consider these variations to ensure applicability across various scenarios.

·         Worker Acceptance: Employees may be sceptical or anxious about time studies, fearing increased workload or performance pressure. Clear communication and workforce involvement in the process are key to gaining acceptance.

·         Continuous Improvement: Job standards should not be static. Regular reviews and updates are necessary to reflect technological changes, methods, equipment, and workforce skill levels.


3.2.2.6 STANDARD DATA—TIME STUDY


Standard data in the context of time studies refers to the quantified benchmarks derived from the systematic analysis of work tasks. This data represents the norm or standard time required to complete specific maintenance tasks under average working conditions. It serves as a critical baseline for performance evaluation, resource planning, and process improvement in marine engineering.


Collection of Standard Data


·         Identification of Key Tasks: For the time study, select critical, repetitive, or time-consuming maintenance tasks aboard vessels. Prioritise tasks that significantly impact operational efficiency and safety.

·         Conducting Time Studies: Perform detailed time studies on these tasks. This involves breaking down each task into more minor, measurable elements and timing these elements multiple times to ensure accuracy.

·         Observation and Recording: Record the time taken for each task element using accurate and reliable methods, like stopwatches or digital timekeeping tools. Ensure that the observations are made under typical working conditions to reflect real-world scenarios.

·         Inclusion of All Relevant Factors: When recording time, consider factors like workers' skill levels, environmental conditions, equipment used, and work methods. These factors can significantly impact the time taken to complete tasks.


Analysis of Time Study Data


·         Calculation of Average Time: Analyse the collected data to calculate the average time taken for each task element. This includes accounting for normal variations in performance.

·         Determination of Allowances: Add allowances for personal needs, fatigue, and unavoidable delays. These allowances ensure that the standard times are realistic and achievable.

·         Compilation of Standard Data: Combine the average times and allowances to establish the standard time for each task. This data forms the benchmarks for performance measurement.


Utilisation of Standard Data


·         Performance Comparison: Compare the time taken to perform tasks against the standard times to evaluate worker performance and identify areas for improvement.

·         Resource Allocation and Scheduling: Use standard data to plan work schedules and allocate resources efficiently. It helps predict the time required for maintenance activities, aiding in effective workload distribution.

·         Cost Estimation and Budgeting: Standard data provides a basis for accurate labour cost estimation, which is crucial for budgeting and financial planning in vessel operations.

·         Continuous Improvement: Regularly review and update standard data to reflect changes in work methods, technology, equipment, or worker skill levels. This ensures that the standards remain relevant and practical.


Challenges in Developing Standard Data


·         Variability of Marine Operations: The dynamic nature of marine environments means that tasks might vary from one situation to another. Standard data must be flexible enough to accommodate such variability.

·         Worker Engagement and Acceptance: Involving the workforce in the time study process and communicating its purpose can help gain their acceptance and cooperation.

·         Updating Standards: The maritime industry continually evolves, introducing new technologies and methods. Standards must be reviewed and updated regularly to remain relevant.


3.2.2.7 EXTENSION OF STANDARD DATA INTO JOB OR COMPONENT STANDARDS


Extending standard time data to create specific job or component standards is critical in operationalising the insights gained from time studies in marine engineering. This process involves translating generalised data into precise, actionable standards tailored to specific tasks or components on a vessel.


Process of Extending Standard Data


·         Identification of Specific Tasks or Components: The first step is identifying the specific jobs or components aboard the vessel that require standardisation. These can range from routine maintenance tasks to complex repairs or installations.

·         Analysis of Generalized Standard Data: Review the generalised standard data collected from time studies. This data is a foundational reference point but needs to be adapted to suit specific tasks or components.

·         Task Decomposition: Break down each specific job or component into individual tasks or steps. This detailed breakdown is crucial for accurately applying standard data to real-world scenarios.

·         Adjustment for Task Specifics: Modify the generalised standard data to account for the nuances of each specific task or component. Factors like the job's complexity, the skill level required, particular tools and equipment used, and environmental conditions aboard the vessel can significantly influence the time necessary.

·         Incorporation of Technical and Environmental Variables: Consider the technical specifications of components and environmental factors unique to maritime settings. These variables can affect the time and resources needed for maintenance or repair tasks.

·         Calculation of Specific Standard Times: Calculate each task or component's standard time using the adjusted data. This calculation should include time for preparation, actual task execution, and post-task procedures.


Utilisation in Marine Engineering


·         Performance Measurement and Benchmarking: Specific job or component standards provide a clear benchmark for measuring the efficiency and effectiveness of maintenance activities. They allow for the comparison of actual performance against predefined standards.

·         Resource Allocation and Scheduling: With specific standards in place, resource allocation and scheduling become more precise and efficient. Maintenance teams can be better organised, and tasks can be scheduled to optimise workload distribution and minimise vessel downtime.

·         Training and Skill Development: These standards serve as a guide for training programs. By understanding the expected standards, training can be tailored to equip maintenance personnel with the necessary skills and knowledge.

·         Continuous Improvement and Adaptation: As specific job or component standards are used, feedback and performance data should be collected to continuously refine and adapt these standards to changing conditions and technological advancements.


Challenges and Solutions


·         Complexity and Diversity of Marine Equipment: Marine vessels comprise many complex and diverse equipment. Developing specific standards for each component can be challenging and resource-intensive.

·         Dynamic Maritime Environment: The constantly changing maritime environment can impact the applicability of specific standards. Regular reviews and updates are necessary to ensure relevancy.

·         Human Factors: Factors such as fatigue, skill variability, and crew morale must be considered in setting realistic, achievable, and sustainable standards.

·         Integration with Technological Advances: The rapid advancement of marine technology necessitates ongoing adaptation of job and component standards to incorporate new techniques and equipment.


3.2.2.8 ADVANTAGES AND DISADVANTAGES—TIME STUDY


Advantages of Time Study


·         Accuracy and Objectivity: Time study provides an accurate and objective method for measuring work time, reducing subjectivity in assessing performance and productivity.

·         Benchmarking and Performance Improvement: By establishing reliable job standards, time studies enable effective benchmarking, helping to identify areas for performance improvement and efficiency enhancement.

·         Resource Optimisation: Organisations can optimise resource allocation and scheduling with precise time data, ensuring that personnel and equipment are used effectively.

·         Cost Estimation and Control: Accurate time standards are essential for precise cost estimation and control, enabling better budgeting and financial management.

·         Process Analysis and Improvement: Time studies encourage a thorough analysis of work processes, often leading to process improvements and eliminating unnecessary steps.

·         Enhanced Training and Development: The data collected can be used to identify best practices and develop targeted training programs, improving overall workforce skill and efficiency.

 

Disadvantages of Time Study


·         High Initial Cost: The setup cost for time study, including equipment and software, can be significant. This includes the price of the time measurement tools and any associated data analysis software.

·         Training Costs: Implementing time study methods often requires substantial training for the study staff and those being studied. This can incur additional costs and needs time away from regular duties.

·         Potential Disruption to Work: Conducting time studies can disrupt normal operations. Workers may feel pressured or uncomfortable being observed, temporarily affecting their performance.

·         Need for Repeated Measurements: To achieve accurate results, time studies must be repeated several times, which can be time-consuming and require additional resources.

·         Variability in Data: Human performance varies, and external factors can influence the time taken for tasks, leading to variability in data that can be challenging to standardise.

·         Regular Updating Required: Time study data can become outdated due to processes, technology, or equipment changes. Regular updates are necessary, adding to the ongoing cost and effort.


3.2.2.8.1 HIGH INITIAL COST


The initial cost of implementing time studies includes expenses related to purchasing timing equipment, training personnel, and potentially hiring experts to conduct the studies. The investment in data collection and analysis software also contributes to the initial cost. This upfront investment can be a significant barrier for some organisations, especially smaller ones.


3.2.2.8.2 TRAINING COSTS


Training costs encompass not only the direct expenses of training sessions but also the indirect costs of time spent away from regular duties. Personnel need to be trained in conducting time studies accurately and ethically, understanding how to record data without influencing worker performance. Additionally, workers may require orientation to understand the purpose of time studies and alleviate concerns about surveillance or job security.

While time studies are powerful tools for improving efficiency and productivity in marine engineering, they come with considerable initial and ongoing costs. The advantages, such as enhanced accuracy and resource optimisation, must be weighed against the disadvantages, including the high initial investment and potential disruption to regular operations. For many organisations, the long-term benefits of time studies in enhancing operational efficiency and cost management justify the initial investment and effort required to implement this method effectively.


3.2.2.9 METHODS-TIME MEASUREMENT DATA (MTM DATA)


Overview of MTM


Methods-Time Measurement (MTM) is a predetermined motion time system which provides standard times for basic motions (like reaching, grasping, moving, and releasing) and specific tasks based on these motions. It's a systematic approach to breaking down work into fundamental motions and assigning standard time values to these motions.


Application in Marine Engineering


MTM can be applied in marine engineering to standardise and streamline maintenance, assembly, or complex operations. This helps establish clear performance benchmarks and efficient work processes.


3.2.2.9.1 ADVANTAGES AND DISADVANTAGES.


Advantages of MTM


·         Consistency: MTM provides a highly consistent method for timing tasks, as it relies on pre-determined times for basic motions, reducing variability compared to traditional time studies.

 

·         Detailed Analysis: It allows for a detailed analysis of every task aspect, helping identify and eliminate unnecessary motions, leading to more efficient work processes.

·         Reduced Need for Extensive Time Studies: Since MTM uses predefined times, it reduces the need for extensive, repetitive time studies, saving time and resources in the long term.

·         Training and Standardisation: MTM data can help train new employees, ensuring they learn the most efficient task-performing methods. It also helps maintain a standard procedure across the organisation.

·         Enhanced Ergonomics and Safety: By analysing and optimising motions, MTM can improve ergonomics, reduce the risk of injuries, and improve worker safety.


Disadvantages of MTM


·         High Initial Cost: Implementing MTM requires a significant initial investment. Costs include purchasing MTM system tables and software, training staff in the MTM methodology, and possibly hiring MTM-certified analysts.

·         Training and Expertise Required: Proper application of MTM requires specialised training and a deep understanding of the system. This might necessitate ongoing training and development programs.

·         Complexity: MTM's detailed nature can make it complex and time-consuming to implement, especially for intricate tasks common in marine engineering.

·         Flexibility Issues: While MTM provides standard times for motions, it may not account for all the variables in a dynamic work environment like that of marine engineering, limiting its flexibility.

·         Resistance to Change: Employees might resist change, as MTM can be perceived as micromanaging work methods, potentially impacting worker morale.


The MTM approach offers a structured and consistent method for establishing time standards in marine engineering, enhancing efficiency and productivity through detailed analysis and optimisation of motions. However, implementing MTM requires careful consideration due to its high initial cost, the complexity of the system, and the need for specialised training. While MTM brings significant long-term benefits in consistency and detailed process analysis, these must be weighed against the potential challenges regarding flexibility and workforce acceptance. For marine engineering operations where precision and efficiency are paramount, the MTM system can be an invaluable tool, but it requires a commitment to thorough implementation and ongoing management.


3.2.2.9.2 STATISTICAL OR PAST-PERFORMANCE METHOD

The Statistical or Past-Performance Method is used in marine engineering to establish time standards based on historical performance data. This method involves analysing records and performance metrics to develop standards for future tasks. It Is beneficial in environments where a significant amount of data is available. This approach is subdivided into several categories, each tailored to different types of jobs.


3.2.2.9.2.1 STANDING ORDERS


·         Definition: Standing orders in this context refer to routine and standardised tasks across the industry.

·         Application: Time standards for standing orders are established by analysing historical data on how long these tasks have typically taken.

·         Benefits: This provides a reliable benchmark for regular and predictable tasks, ensuring consistency in performance.

·         Challenges: The main challenge is ensuring that the data remains relevant, requiring regular updates to reflect any changes in procedures or technology.


3.2.2.9.2.2 REPETITIVE JOBS


·         Definition: Repetitive jobs are tasks performed frequently and have a relatively stable and consistent method of execution.

·         Data Analysis: Time standards are developed for these jobs by analysing the average time taken over many repetitions.

·         Adaptation: The standards must be adaptable to slight variations in the task or conditions under which it is performed.

·         Continuous Monitoring: Ongoing monitoring is essential to ensure accurate and relevant standards.


3.2.2.9.2.3 NONREPETITIVE JOBS


·         Definition: Nonrepetitive jobs are unique or rarely performed tasks, making establishing standards based on past performance challenging.

·         Approach: The method here involves analysing similar tasks or components of the job that are more common and extrapolating from this data to estimate the time for the nonrepetitive task.

·         Expert Judgment: Often, expert input is required to accurately predict the time standards for these tasks, considering each job's unique aspects.


3.2.2.9.2.4 ESTIMATED JOBS


·         Definition: Estimated jobs are tasks for which limited or no historical data is available.

·         Methodology: Time standards for these jobs are developed through estimates based on expert knowledge, industry norms, and analogous tasks.

·         Refinement Over Time: These estimates are refined as more data becomes available from internal sources or industry benchmarks.


The Statistical or Past-Performance Method offers a practical approach to setting time standards in marine engineering, especially for tasks with substantial historical data. However, the method's effectiveness varies depending on the nature of the job. While it provides a solid foundation for repetitive and standing tasks, it requires more expert input and estimation for nonrepetitive and new tasks. Continual review and adaptation of these standards are crucial to reflect current practices and technological advancements accurately. This method underscores the importance of data collection and analysis in optimising marine engineering operations.


3.2.2.10 RATIO DELAY—"WORK SAMPLING."


Work sampling, or ratio delay, is a statistical method used to estimate how time is allocated across various activities in a work environment. It involves taking random samples to observe whether a specific activity is occurring at the time of observation. This technique is beneficial in environments like marine maintenance, where tasks are varied and continuous observation is impractical.


Methodology of Work Sampling


·         Planning the Study: Define the objectives clearly, such as which activities or areas are to be observed. Decide the duration of the study and the frequency of observations.

·         Random Sampling: Observations are made at random intervals to ensure unbiased data collection. The timing of these observations is unpredictable to the workforce to avoid altered behaviour.

·         Recording Observations: Each observation notes whether a specific activity (like repairing, cleaning, idle time) occurs. Over time, these observations accumulate to form a picture of how time is distributed across different tasks.

·         Data Analysis: Analyse the collected data to calculate the percentage of time spent on each activity. This is done by dividing the number of observations of a particular activity by the total number of observations.

·         Estimating Time Allocations: From these percentages, estimate the time allocations for each activity over a standard work period.


Application in Marine Maintenance


·         Activity Analysis: Work sampling in marine maintenance can help identify the time spent on various tasks, such as repairs, inspections, or administrative work.

·         Resource Allocation: By understanding time allocation, managers can make informed decisions about staffing levels, training needs, and equipment allocation.

·         Identifying Inefficiencies: Work sampling can reveal inefficiencies or bottlenecks in maintenance processes, highlighting areas for process improvement.

·         Performance Monitoring: It can be used to monitor changes in performance over time, especially after implementing new processes or equipment.


Advantages of Work Sampling


·         Cost-Effective: Less resource-intensive than continuous observation, as it requires fewer observer hours.

·         Minimal Interruption: The random nature of observations minimises the impact on everyday work routines.

·         Broad Application: This can be applied to various activities and is scalable to large operations.


Challenges and Considerations


·         Sample Size: Determining an appropriate sample size is critical to ensure statistical validity. Too few observations may not accurately represent the distribution of activities.

·         Observer Bias: Work sampling accuracy relies on observers' impartiality. Training and clear guidelines are necessary to minimise bias.

·         Data Interpretation: The results need careful interpretation, considering the context of the observations and the nature of the work being performed.

Work sampling is a valuable tool in marine maintenance for understanding how time is distributed across various tasks. It aids in resource planning, process improvement, and performance monitoring. While it offers a cost-effective alternative to continuous observation, its effectiveness depends on careful planning, unbiased sampling, and accurate interpretation of results. In the dynamic environment of marine maintenance, work sampling can provide critical insights into operational efficiency and workforce productivity.


3.2.2.11 OBTAINING A TRUE RANDOM SAMPLE—RATIO DELAY


In the context of work sampling or ratio delay, obtaining a proper random sample is crucial for the integrity and validity of the study. Accurate random sampling ensures that each observation is independent and has an equal chance of being selected, thereby providing an unbiased representation of how time is allocated across various activities.


Key Considerations in Achieving Randomness


·         Random Selection of Observation Times: Observation times should be chosen throughout the work period. This can be achieved using random number tables or software that generates random times.

·         Unpredictability: The randomness in observation times should be such that workers cannot predict when they will be observed. This unpredictability is essential to prevent any alteration in behaviour due to the awareness of being observed.

·         Coverage of All Work Periods: The sample should cover different times and days of the week to account for variability in work patterns and activities.

·         Avoiding Patterns in Sampling: Care should be taken to ensure that the pattern of observations does not inadvertently align with specific activities or times, which could bias the results.


Techniques for Obtaining a True Random Sample


·         Random Number Generators: Use digital tools or apps to generate random observation times.

·         Time Interval Variation: Randomly varying the intervals between observations to avoid predictable patterns.

·         Stratified Random Sampling: If certain activities are known to occur only at specific times, a stratified approach can be used where the day is divided into segments, and random samples are taken within each segment.


Challenges in Obtaining Random Samples


·         Observer Availability: Matching random observation times with the availability of observers can be challenging, especially in 24/7 operations like marine maintenance.

·         Work Cycle Considerations: Work activities may sometimes have specific cycles or patterns to consider when designing the sampling strategy.

·         Ensuring Compliance: Observing strictly the randomly generated observation schedule requires diligent oversight.


Impact of Non-Random Sampling


If sampling is not truly random, it can lead to skewed data, which might misrepresent the actual distribution of activities. This can result in erroneous conclusions and poor decision-making based on biased data.

A proper random sample is a foundational aspect of accurate and reliable work sampling in marine maintenance. It requires careful planning, appropriate use of technology, and strict adherence to the sampling plan. The effort to maintain randomness in sampling is critical in ensuring that the data collected accurately reflects the reality of the work environment, thereby enabling effective operational decisions and improvements.


3.2.2.12 ASSIGNED MAINTENANCE MANNING—RATIO DELAY


Ratio delay, or work sampling, is a valuable tool in determining the optimal number of personnel required for maintenance tasks in marine engineering. By assessing the time spent on various activities, management can make informed decisions about staffing levels that align with actual work requirements.


Application in Manning Decisions

·         Assessment of Workload: Observations from work sampling provide insights into the actual workload, helping to identify if more or fewer personnel are needed for specific tasks.

·         Balancing Teams: The data can balance workloads among teams, ensuring that all personnel are utilised effectively without being overburdened.


3.2.2.12.1 WORK SIMPLIFICATION—RATIO DELAY


·         Identifying Inefficiencies: Ratio delay studies can highlight repetitive or unnecessary activities that could be simplified or eliminated.

·         Process Optimization: By understanding how time is allocated, processes can be streamlined, resulting in time savings and increased efficiency.


3.2.2.12.2 DETERMINING ALLOWANCES—RATIO DELAY


·         Setting Realistic Expectations: The data helps set realistic time allowances for various tasks, considering factors like fatigue, personal needs, and unavoidable delays.

·         Customized Allowances: Different tasks might require different allowances, and work sampling data provides the granularity needed to tailor these allowances accurately.


3.2.2.12.3 ACCURACY OF RATIO DELAY—RANDOM SAMPLING


·         Ensuring Data Integrity: The accuracy of work sampling depends on the randomness of observations. A well-implemented random sampling plan is critical to avoid bias.

·         Statistical Analysis: Statistical methods are used to analyse the data, ensuring that conclusions drawn from the sampling are reliable and representative of the actual working conditions.


3.2.2.12.4 COMMENTS ON RATIO-DELAY STUDIES


·         Versatility and Flexibility: Ratio delay studies are versatile and can be adapted to various activities, but they require careful planning and implementation.

·         Observer Training: Proper training for observers is crucial to ensure that the data collected is accurate and unbiased.


3.2.2.12.5 ESTIMATING MAINTENANCE EFFICIENCY WITH RATIO DELAY


3.2.2.12.5.1 ESTIMATING STANDARDS


·         Developing Time Standards: Work sampling data can be used to develop time standards for maintenance tasks, providing a benchmark for measuring efficiency.

·         Dynamic Adjustment: These standards can be dynamically adjusted based on ongoing ratio delay data as work practices evolve.


3.2.2.12.5.2 CONDITIONS REQUIRED FOR THE SUCCESS OF MAINTENANCE-WORK MEASUREMENT PROGRAMS.


·         Management Commitment: Successful implementation requires strong commitment and support from management.

·         Continuous Monitoring and Adaptation: Continuous monitoring and adaptation of the program are necessary to keep it relevant and effective.

·         Worker Involvement and Transparency: Involving workers in the process and maintaining transparency about the objectives and methods used in the work measurement program can foster acceptance and cooperation.


Applying ratio delay or work sampling in marine maintenance is a powerful approach to optimising manpower allocation, simplifying work processes, setting realistic allowances, and ensuring maintenance efficiency. Its success hinges on accurate data collection and analysis and the commitment of management and the workforce to use the data constructively for continuous improvement.

 

References and Bibliography‌:


Barnes, R.M., 1980. Motion and time study: design and measurement of work. 7th ed. New York: Wiley.

Gill, P. and Johnson, P., 2010. Research methods for managers. 4th ed. London: Sage Publications.

Helander, M., 2006. A guide to human factors and ergonomics. 2nd ed. Boca Raton, FL: CRC Press.

Hughes, O. and Bowsher, R., 2018. Ship maintenance and repair: operational strategies. 3rd ed. London: Routledge.

International Labour Organization (ILO), 1992. Introduction to Work Study. 4th ed. Geneva: ILO.

International Labour Organization (ILO), 2021. Maritime Labour Convention (MLC), 2006 as amended. Geneva: ILO.

International Maritime Organization (IMO), 2017. Guidelines on Shipboard Maintenance under the ISM Code. London: IMO.

International Maritime Organization (IMO), 2022. International Convention for the Safety of Life at Sea (SOLAS). London: IMO.

Maynard, H.B., 2004. Industrial engineering handbook. 5th ed. New York: McGraw-Hill.

Montgomery, D.C., 2020. Design and analysis of experiments. 10th ed. New York: Wiley.

Niebel, B.W. and Freivalds, A., 2003. Methods, standards, and work design. 11th ed. New York: McGraw-Hill.

Oil Companies International Marine Forum (OCIMF), 2018. Tanker Management and Self Assessment (TMSA) 3 – A Best Practice Guide. London: OCIMF.

Pike, J., 2020. Marine Engineering Practice. 2nd ed. London: The Institute of Marine Engineering, Science & Technology.

Salvendy, G., 2012. Handbook of human factors and ergonomics. 4th ed. Hoboken, NJ: Wiley.

Smith, D.W., 2013. Marine Engineering Economics and Cost Control. London: Institute of Marine Engineering, Science & Technology.

Standards of Training, Certification and Watchkeeping (STCW), 2018. International Convention on Standards of Training, Certification, and Watchkeeping for Seafarers. London: IMO.

Wetherbe, J.C., 1994. Systems analysis and design: best practices. St. Paul, MN: West Publishing.

Work Measurement Institute (WMI), 2020. Methods-Time Measurement (MTM): Standard Data and Applications. London: WMI.

 

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.

NGC Code: The Intelligent Backbone of Maritime Asset Management

  A White Paper by Narenta Gestio Consilium Introduction: From Fragmentation to Fleet Intelligence In today’s maritime industry, ass...