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James Kovacevic — Thought Leader

Author of Maintenance and Reliability articles, ebooks, and host of Rooted in Reliability, co-host on Speaking of Reliability.


This author's archive lists contributions of articles and episodes.

by James Kovacevic Leave a Comment

The Top 5 Signs That Your Storeroom is Broken

A simple way to see how effective your storeroom is at providing the right part, at the right time, in the right quantity.

Storerooms are a critical part of any maintenance and reliability program, but they are often overlooked.   When a storeroom is operating at best in class levels, the right parts are available at the right time.   The storeroom is only able to achieve this when it its into the maintenance department.

[Read more…]

Filed Under: Articles, Maintenance and Reliability, on Maintenance Reliability

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254 – Defining Subsystems in an RCM Analysis with Doug Plucknette

254 – Defining Subsystems in an RCM Analysis with Doug Plucknette

Defining Subsystems in an RCM Analysis with Doug Plucknette

We’re excited to be joined again by Doug Plucknette, an author, consultant, and instructor around maintenance and reliability, to talk about RCM analysis. This topic relates to a previous episode on failure curves.

In this episode, we covered:

  • What is an RCM analysis?
  • Why break down an asset into Subsystems to analyze
  • How to break an asset down into Subsystems
  • And much more!

ᐅ Play Episode

by James Kovacevic Leave a Comment

The Top 3 Analysis Techniques To Use When Performing a PM Optimization

Performing a PM Optimization is not always as simple as it sounds.  Often a Maintenance Planner will assemble a team of technicians to ask what is value-added and what is missing from a PM Routine.   While these may be good questions to ask before diving into an analysis, or after an analysis, it does not base the answers on data.   Basing the PM Routine on data, not intuition is critical to the long-term success of any organization.

To perform a PM Optimization, there are three main types of analysis to focus on the effectiveness of any PM Routine.  The specific analysis used will depend on how mature (or effective) the current PM Routine is, and on the specific type of failures that the PM Routine is trying to address.

Review RCM or FMEA

If the current PM routine was not developed utilizing an acceptable tool such as Reliability Centered Maintenance, Failure Mode Effect Analysis,  or Maintenance Task Analysis, then this is the first step to performing a PM Optimization.  By utilizing Review RCM, or an FMEA, the organization can begin to document and analyze the current failure modes experienced with a specific piece of equipment.   This analysis will identify if the current tasks are effective for the type of failure (i.e. wear out or random failure).

At the completion of the Review RCM analysis, a documented equipment strategy will be available to ensure that the right maintenance is being performed for the specific type of failure mode.   At this point, the organization can implement changes to their PM program and begin to experience an improvement in the effectiveness of their PM Program.

But what if the PM Routine was developed utilizing an accepted tool?  Then there are two other types of analysis that should be utilized to analysis the failure data and make data-driven improvements to the PM Routine.

Weibull for Non-Repairable Components

A Weibull analysis is a common statistical analysis tool used in maintenance and reliability.   The Weibull analysis is used for Non-Repairable Components, meaning that it is used for parts that are discarded after failure.

To use a Weibull analysis, begin by plotting the life data.  A Beta (or slope) of the plot will provide information as to whether the failure is related to a wear-out failure mode, a premature failure mode or a random failure;

  • Beta < 1 – Infant Mortality / Premature Failure
  • Beta = 1 – Constant Failure Rate / Random Failure
  • Beta > 1 – Wear Out / Age Related

While quite effective with non-repairable components, the Weibull analysis can only be used with a single failure mode.  If multiple failure modes are included in the life data, the Beta will not be correct.

With the Beta determined, the type of maintenance being performed can be reviewed to determine if it is in line with the type of failure being observed, i.e. random, or age related.  If the maintenance activity is replacing a component every 300 days and the Beta value is 1, then the right type of maintenance is not being performed and an on condition task should be established.

Lastly, the characteristic life (n) for an age-related failure will be provided as part of the Weibull analysis.  This can be used to assist in determining the appropriate frequency of the maintenance activity.

Mean Cumulative Function Plot for Repairable Components

Now, if the component being maintained is a repairable component, a Weibull analysis is not the right tool to use.  This is where a Mean Cumulative Function Plot comes into play.  This is a plot of time in hours versus the count of failures to date.

By plotting the time in hours versus the count of failures, you can begin to see how long components are lasting.  Also, you can perform an analysis on the data which will indicate the slope of the data;

  • A straight line indicates that system failures are remaining constant over time
  • A curve that is concave down indicates that the time between failures is increasing over time – your system reliability is improving
  • A curve that is concave up indicates that the time between failures is decreasing over time – your system reliability is deteriorating

Based on this line, the type and effectiveness of the maintenance activity can be evaluated.   As with the Weibull analysis, the data will allow the organization to see what failure modes are occurring when.  With this information, the maintenance activity and frequency can be reviewed.     A word of caution, do not take the average of the life data.   Look at the plot and determine when the maintenance activity should be performed based on the probability of preventing the failure.

Next Steps in PM Optimization

Armed with this three analysis, any organization can effectively perform a PM Optimization focused on the effectiveness of the maintenance activities.  However, this is only the first part of a PM Optimization process.  The cost/benefit must be calculated to determine if the maintenance activity is worth doing.  If it has been determined that the PM Routine is worth doing, then the PM routine needs to be analyzed to perform it in the most efficient way.

Do you have a structured approach to your PM Optimization?  Do you use a rule of thumb for your reviews?   What is preventing you from using data to perform your PM Optimization?

Remember, to find success; you must first solve the problem, then achieve the implementation of the solution, and finally sustain winning results.

I’m James Kovacevic
Eruditio, LLC
Where Education Meets Application
Follow @EruditioLLC

References;

  • The What and Why of a Weibull
  • Using a Mean Cumulative Function Plot
  • The Weibull Handbook

Filed Under: Articles, Maintenance and Reliability, on Maintenance Reliability Tagged With: PM Optimization

by James Kovacevic 1 Comment

253 – Using WO Data in a Well Rounded PdM Strategy with Frank Emery

253 – Using WO Data in a Well Rounded PdM Strategy with Frank Emery

Using WO Data in a Well Rounded PdM Strategy with Frank Emery

We’re excited to have Frank Emery, the product manager of AI at Fiix Software, with us to talk about how to make the Work Order data work. Fiix Software is a CMMS that was initially called Maintenance Assistant. He’s been in the software industry for at least ten years, figuring out how to use data. Frank’s work at Fiix is to try and make maintenance technicians’ lives a little bit easier.

Key highlights from this episode are:

  • What is Work Order data?
  • What type of data are you looking for in a WO?
  • How to develop a well-rounded PM program using WO data

.. and so much more!

ᐅ Play Episode

by James Kovacevic Leave a Comment

Understanding ISO 14224: You Guide to Sustainable Defect Elimination

Capture The Right Failure Data to Power Your Defect Elimination Activities

In the petroleum, natural gas and petrochemical industries, great attention is being paid to safety, reliability, and maintainability of equipment.  This is true in any industry and as such the learnings and information found within ISO 14224 can be applied to any industry. [Read more…]

Filed Under: Articles, Maintenance and Reliability, on Maintenance Reliability Tagged With: defect elimination

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252 – How to Avoid Becoming a Prisoner of Your Own Process with Brandon Weil

252 – How to Avoid Becoming a Prisoner of Your Own Process with Brandon Weil

How to Avoid Becoming a Prisoner of Your Own Process with Brandon Weil

We’re excited to be joined by Brandon Weil, the operations director at Eruditio. He was also the chair at the 2020 SMRP conference. Brandon will be giving us an in-depth look into becoming a prisoner of your process.

Key highlights from this episode are:

  • What does the phrase mean?
  • What could cause you to get in too deep?
  • How do you evolve to stop or not become a prisoner of your process?

ᐅ Play Episode

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Using Simplified Technical English to Write Effective Maintenance Procedures

Reduce the Variability in Your Work Routines and Procedures

Based on our understanding of the six failure patterns, we can see that there is a large probability of failure when the equipment is first installed and started up.   One of the Englisch causes of this increase in probability is the fact that the equipment was not installed or maintained correctly.  This may be due to the installer or maintainer not using or following procedures.  Having procedures is the first step to reducing these failures, but the procedures must be written in a clear, easy to follow manner.  When writing procedures, it is critical to ensure that there are no interpretations in the written instructions.  How can this be accomplished?

The universal language for aviation is english, which is considered very safe and reliable.  How has this industry been able to overcome the fact that many of the people involved in aviation are not native English speakers?   How does a large company such as Boeing supply aircraft all over the world and the customers perform the maintenance in a consistent manner?  The aviation and defense industries use a controlled language by the name of Simplified Technical English.

What is Simplified Technical English?

Simplified Technical English is a controlled version of English, that is designed to help the users of English-language maintenance documentation understand what they read.  Technical writing can be complex and difficult to understand even for native English speakers.  Complex writing can be misunderstood, which may lead to accidents or premature failures.  Simplified Technical English makes procedures easy to understand and follow, eliminating language issues and reducing premature and maintenance induced failures.

Simplified Technical English provides a set of Writing Rules and a Dictionary of controlled vocabulary. The Writing Rules cover grammar and style.  The Dictionary specifies the words that can be used and those that can’t be used. For the words selected, there is only one word for one meaning and one part of speech for one word.  Some of the benefits of Simplified Technical English may include;

  • Reduce ambiguity
  • Improve the clarity of technical writing, especially procedural writing
  • Improve comprehension for people whose first language is not English
  • Improve Reliability concerns of maintenance and assembly by reducing their probability to introduce defects

The Simplified Technical English specification is not easy to learn, but there are training and software available (if you are interested in this standard, please visit the ASD Simplified Technical English website).   The detailed contents of the Simplified Technical English specification will not be covered, but instead, the rest of the post will cover what you can immediately do to make your procedures more readable and drive reliability.

Writing Procedures Using Simplified Technical English

So without becoming an expert in Simplified Technical English, how can you begin to write better procedures?   You can begin with some basic writing practices and by reviewing the procedures before it issued.  Some of the basic practices to use when writing procedures include;

  • Use short sentences. (The recommended maximum is 20 words in a procedural sentence and 25 words in a descriptive sentence.)
  • Restrict noun clusters to less than 3 nouns
  • Restrict paragraphs to less than 6 sentences
  • Avoid slang or jargon
  • Avoid the passive voice
  • Be as specific as possible
  • Use articles such as “a/an” and “the” wherever possible
  • Use simple verb tenses (past, present, and future)
  • Write sequential steps as separate sentences
  • Put commands first in warnings and cautions, with the exception of conditions
    • For example, write Make sure that the valve is open. Do not write Make sure the valve is open.Use the conjunction that after subordinate clauses that use verbs such as make sure and show.
  • Introduce a list item with a dash (hyphen).

Once the procedure is written, be sure to review and delete any information which is not relevant (i.e. Instead of synthetic lubricating oil, use only).  well-written should help in eliminating any interpretation and driving clarity.

Here is an example of how the wording of a procedural step could be open to interpretation.  The task “Replace the filter” could mean either of the following:

  • Put back the filter that you took out.
  • Install a new filter.

Now you can see how one person may perform a task and how another would perform it differently.  Once the task is clear, a technical specification should be added to ensure the task is performed to a standard such as;

  • Tighten to 15 ft-lbs

The end result of ensuring the task is clear, and a specification is present is “Install a new filter and tighten to 15 ft-lbs”  This task is simple, clear and easy to understand.

When following these basic steps a well written procedure will be developed to ensure clarity and repeatability, thereby reducing maintenance induced failures.  Do you use a Simplified Technical English or a form of it in your procedures or job plans?  If not, how are you actively working to reduce maintenance induced and start-up related failures?

Remember, to find success, you must first solve the problem, then achieve the implementation of the solution, and finally sustain winning results.

I’m James Kovacevic
Eruditio, LLC
Where Education Meets Application
Follow @EruditioLLC

References;

  • ASD Simplified Technical English, Specification ASD-STE100

 

Filed Under: Articles, Maintenance and Reliability, on Maintenance Reliability

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251 – How to Make a Good Request with Fred Schenkelberg

251 – How to Make a Good Request with Fred Schenkelberg

How to Make a Good Request with Fred Schenkelberg

We’re glad to have Fred Schenkelberg back to help us understand how to make a complete request. A lot of times, emails circulate through the organization requesting tasks to get completed. However, they don’t define the:

  • Who
  • When
  • How

Fred will give us insight on:

  • Elements of a Complete Request
  • Do the five elements help ensure a significant change in making requests

… and so much more!

ᐅ Play Episode

by James Kovacevic Leave a Comment

How to Setup An Asset Hierarchy

Ensuring the Failure Data Collected Can Be Used To Drive Improvements In Any Organization

ISO 14224 – Equipment Taxonomy

If you were to go into your CMMS and look at the hierarchy and equipment, would it be well laid out and organized?   Would you be able to drill down the to the lowest level of components to know what failures have occurred?  Can you see how pumps are performing across a specific area or the entire plant?  The chances are that for many organizations, this is not possible.   Why is that?  The asset hierarchy was not thought out ahead of time, nor was the right data collected and recorded in the CMMS.

Having a well-defined asset hierarchy is critical to the ability of the plant to drill down in costs and identify where the improvements efforts should be focused.  It also allows reliability staff to identify common issues across specific equipment types and classes, enabling what may be an improvement targeted for a specific area to be spread out across the site. [Read more…]

Filed Under: Articles, Maintenance and Reliability, on Maintenance Reliability

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250 – Decoding Mechanical Failures with Shane Turcott

250 – Decoding Mechanical Failures with Shane Turcott

Decoding Mechanical Failures with Shane Turcott

We’re glad to have Shane Turcott to helps us understand more about decoding mechanical failures. He’s a principal metallurgist from Steel Image and is heavily involved in a lot of professional societies. Shane’s previously worked at a steel mill, a turbine company, and a failure analysis lab specializing in failure analysis. Steel Image was established in 2009 and deals with failure analysis, with a specialty in supporting reliability efforts in the refining industry, mining, energy, and heavy industries like automotive and manufacturing.

Today, we’re tackling important points such as:

  • What is Fractography
  • How to study failed components
  • Difference between a Ductile and Brittle fracture
  • How to become successful with Decoding Mechanical Failures

… and so much more!

ᐅ Play Episode

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Failure Reporting, Analysis and Corrective Action System (FRACAS)

Using a System to Record, Report And Eliminate Defects

Why is that some organization seem to break the reactive cycle and others don’t?  After all most organizations have a PM program and some form of a planning and scheduling program right?   The key difference between those that do is their ability to use their failure data and systematically eliminate defects and issues from the processes and equipment.  This doesn’t mean adding a new PM everytime some fails, which just won’t work.

To eliminate the defects and issues, the organization needs to collect meaningful data to analyze and act on.  This is where FRACAS comes in. [Read more…]

Filed Under: Articles, Maintenance and Reliability, on Maintenance Reliability Tagged With: Failure Reporting, FRACAS

by James Kovacevic Leave a Comment

249 – Understanding the Failure Curves with Doug Plucknette & Ron Moore

249 – Understanding the Failure Curves with Doug Plucknette & Ron Moore

Understanding the Failure Curves with Doug Plucknette & Ron Moore

Were excited to have Ron Moore and Doug Plucknette get into the topic of age and random failure patterns. Ron’s been involved with maintenance and reliability for a long time. Doug’s from RCM Blitz and is a big advocate for understanding failure modes, reliability centered maintenance, and its different aspects. He has experience ranging from wrenching to supervision and management, and also training and consulting.

In this episode, we covered:

  • The tools a Maintenance Engineer needs!
  • How to make change!
  • The steps you need to build a performance tool!
  • And much more!

ᐅ Play Episode

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Establishing the Frequency of Failure Finding Maintenance Inspections

Preventing The Consequences Of A Hidden Failure From Devastating Your Organization.

Ever wonder how some of the worst industrial disasters occur?  It is usually the result of multiple failures.  Failure of the primary system and failure of the protective systems.   Ensuring the protective system(s) are not in a failed state should be of utmost importance to any organization.  But how often should we test the protective systems to ensure the required availability?

Establishing the correct frequencies of the inspection/ testing activities of these protective system(s) is critical to not only the success but safety and reputation of any organization.   Too infrequently and the organization is at risk of a major incident.  Too frequently, and the organization is subjected to excess planned downtime, an increased probability of maintenance induced failures and increased maintenance cost.
This article will continue the discussion on establishing the correct inspection frequency in a maintenance program.  There are three different approached to use, based on the type of maintenance being performed;

  • Time-Based Maintenance
  • On-Condition Maintenance
  • Failure Finding Maintenance

This article will focus on Failure Finding Maintenance.

What Are Protective Systems, Hidden Failures and Failure Finding Maintenance

A protective system or device is a system or device which is designed to protect and mitigate or reduce the consequences of failure.  These consequences may be safety, environmental or operational in nature.   These devices or systems are designed to;

  • Alert – to potential problem conditions (i.e. alarm)
  • Relieve – prevent failure conditions causing greater problems (i.e. pressure relief valve)
  • Shutdown – stop a process to prevent greater problems from occurring (i.e. motor overload)
  • Mitigate – alleviate the consequences of a failure (i.e. fire suppression equipment)
  • Replace – continue to provide a function by an alternative means (i.e. back up pump)
  • Guard – prevent an accident from occurring  (i.e. E-Stop)

Knowing what a protective device or system is, you may see that if a pressure relief valve became corroded and seized in the closed position, it would not be evident to the operators.   This is a hidden failure.   A hidden failure can be defined as; a failure which may occur and not be evident to the operating crew under normal circumstances if it occurs on its own.  Obviously, this could lead to significant consequences if the tank that the pressure relief valve is protecting is overpressurized.   This is where failure finding maintenance comes in.

Failure-finding maintenance is a set of tasks designed to detect or predict failures in the protective systems or devices to reduce the likelihood of a failure in the protective system and the regular equipment from occurring at the same time.  So how to do you determine how often the protective systems should be checked for failure?  Establish the frequency using a formula.

Establishing Failure Finding Maintenance Frequencies Using Formulas

There is a single formula that will take into consideration of all variables to establish the failure finding interval (FFI);  FFI = (2 x MTIVE x MTED) /MMF

Where;

  • MTIVE = MTBF of the protective device or system
  • MTED = Mean Time Between Failure of the Protected Function
  • MMF =   Mean Time Between Multiple Failures

So if we use an example from RCM2, we can see how this works; The users of a pump and a standby pump want the following from the system.

  • The probability of a multiple failure to be less than 1 in 1000 in any one year (MMF)
  • The rate of unanticipated failures of the duty pump is 1 in 10 years (MTED)
  • The rate of unanticipated failure of the standby pump is 1 in 8 years (MTIVE)

Therefore the correct failure finding interval would be;

  • FFI = (2 x 8 x 10) / 1000
  • FFI = (160)/1000
  • FFI = 0.16 years
  • 0.16 years x 12 months = 2 months

This indicates that the standby pump must be checked every two months to verify it is fully operational.   If this check is not performed, the likelihood of a multiple failures increases.

Lastly, if the failure of the protective device can be caused by the failure finding task itself, there is another approach to be used, which is beyond the scope of this article.

Do you have a program in place to check your protective systems?  If not, are you aware of the risk that your organization is exposed to?   Take the time to determine your protective systems and establish your failure finding tasks.

Remember, to find success; you must first solve the problem, then achieve the implementation of the solution, and finally sustain winning results.

I’m James Kovacevic
Eruditio, LLC
Where Education Meets Application
Follow @EruditioLLC

References;

  • RCM2 by John Moubray
  • Fixed Time Maintenance
  • On-Condition Maintenance

 

Filed Under: Articles, Maintenance and Reliability, on Maintenance Reliability

by James Kovacevic 1 Comment

248 – Leading FMEAs with Bill Leahy

248 – Leading FMEAs with Bill Leahy

Leading FMEAs with Bill Leahy

We’re honored to have Bill Leahy back to talk about Failure Mode Effect Analysis. He’s a principal instructor with Eruditio, having a background in manufacturing and the military. He’s been involved with maintenance and reliability for several years.

Today, we’re tackling important points such as:

  • What is an FMEA
  • Why do the FMEAs
  • Who should lead FMEAs
  • How to perform an FMEA

… and so much more!

ᐅ Play Episode

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Establishing the Frequency of On-Condition Maintenance Inspections

Ensuring The Inspections Will Catch the Defect Before A Functional Failure Occurs

Ever wonder how some organizations make their vibration or thermographic program work, and not only work but deliver huge results to their organization?  They use a systematic approach to establishing the correct frequencies of inspection.   Establishing the correct frequencies of maintenance activities is critical to the success of any maintenance program.   Too infrequently and the organization is subjected to failures, resulting in poor operational performance.  Too frequently, and the organization is subjected to excess planned downtime and an increased probability of maintenance induced failures.

This article will continue the discussion on establishing the correct frequency in a maintenance program.  There are three different approached to use, based on the type of maintenance being performed;

  • Time-Based Maintenance
  • On-Condition Maintenance
  • Failure Finding Maintenance

This article will focus on On-Condition Maintenance.  While establishing the frequency for Fixed Time Maintenance activities is complex and is more of science, establishing the frequency for Condition Based Maintenance inspections (or On-Condition) is a mix of science and art.

Construct the P-F Curve & Establish the P-F Interval

The first step to determining the inspection frequency for on-condition tasks is to construct the P-F curve and P-F interval. Constructing a P-F curve requires recording the results of the inspection and plotting the result versus the elapsed time.  If enough measurements are taken, a fairly consistent curve can be developed for each failure mode. Making sure that the data is gathered carefully and consistently will aid in increasing the quality of the P-F curve.   Lets use an example from RCM2;

  • The tread depth on a tire is directly related to the linear distance traveled.  Based on the data collected, it is safe to say that for every 3000 miles the tire wears 1mm.  So for a tire with 12mm tread when new, a potential failure point of 3 mm and a failure point of 2mm, the P-F interval is 3,000 miles.

Now this works quite well for linear P-F curves because it is predictable.  So how do you construct a P-F curve for a non-linear failure mode?  It is a bit more complex, and a bit more of art.  Let’s use another example;

  • A bearing will operate with minimal vibration under normal operations.  As a defect materializes, the vibration will increase exponentially as the defect gets worse.   While the P-F Interval will be the time (or operating cycles) from the point the defect can be detected (potential failure point) to the point it becomes a functional failure, its rate of deterioration will increase dramatically towards the end of its life.  This can be quantified just as the tire in the above example, with the right data.

With P-F curve and P-F Interval (PFI) established, the frequency can be determined.

Select the Right Frequency for Inspection

Once the P-F Interval (PFI) is established, the inspection frequency can be determined.  Thankfully it is not as complicated as establishing Fixed Time Maintenance frequencies.  To determine the inspection frequency, the formula is either PFI/3 or PFI/5.

  • Standard Inspection – the frequency of inspection for most equipment should be approximately 1/3 of the P-F interval (Formula = PFI/3).  For example, a failure mode with a P-F interval of 3000 miles should be inspected every 1000 miles.
  • Critical Equipment Inspection – the frequency of inspection for critical equipment should be approximately 1/5 of the P-F Interval (Formuala = PFI/5).  For example, a failure mode on a critical piece of equipment with a P-F interval of 3000 miles should be inspected every 600 miles.

Now the above works well for linear P-F curves, so how do you establish the frequency for the non-linear curves?  You use the same approach as above for the initial inspection frequency.

However, once a potential failure is detected, additional readings should be taken at progressively shorter intervals until a point is reached that a repair action must be taken. For example; the initial inspection frequency is every four weeks.  Once a defect is detected, the next inspection will be at three weeks, then two weeks and then ever week.

This is only guidelines and should be adjusted based on the method used to track and trend data, the lead time of the repair parts (if not kept on site), and how quickly the data will be analyzed, and the repair work planned.  If your planning process is poor, the frequency should be more frequent, to allow for a high chance of detection sooner.

How much thought was put into your Condition Based Maintenance inspection frequencies?  Have you broken down each failure mode trended the data and established the frequency using a systematic approach?   As with the Fixed Time Maintenance activities, you may be over or under inspecting, costing your organization reliability or money.

Remember, to find success; you must first solve the problem, then achieve the implementation of the solution, and finally sustain winning results.
I’m James Kovacevic
Eruditio, LLC
Where Education Meets Application
Follow @EruditioLLC

References;

  • RCM2 by John Moubray
  • Establishing Fixed Time Maintenance Frequencies

 

Filed Under: Articles, Maintenance and Reliability, on Maintenance Reliability

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