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Maintenance and Reliability Decisions

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Operations Management Maintenance and Reliability Chapter 17

Total Productive Maintenance

Operations Management

MAINTENANCE MANAGEMENT Module 9

Oil Analysis Implementation Strategy J. Mike Weiksner BSME - Auburn University Years in Industry (EMO) Hold Certifications in Vibration & Oil.

Aggregate Planning in a Supply Chain

Maintenance At Your WWTP August 2010

Productive Maintenance

Maintenance and Reliability

All activities involved in keeping a system’s equipments working are the part of maintenances management. Maintenance of machine involves the efforts.

CHAPTER 1. MAINTENANCE “Act of causing to continue ” [New Oxford Dictionary]

Project Management. Maintenance and Reliability 14 Aug 2001.

Managing Quality Chapter 5.

Maintenance and Reliability Ross L. Fink. Maintenance  All activities involved in keeping a system’s equipment in working order.

© 2011 Pearson Education, Inc. publishing as Prentice Hall 17 Maintenance and Reliability PowerPoint presentation to accompany Heizer and Render.

Maintenance Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill.

McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. 15S Maintenance.

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Technical groups, follow aiche, intro to maintenance and reliability.

This presentation provides those in the process and discrete manufacturing industries an introduction to the best practices in Maintenance and Reliability aimed at improving uptime and productivity. The relationship between asset care delivery and equipment performance are highlighted.

Work processes for Maintenance execution and reliability improvement are detailed along with their interfaces that are vital for overall asset performance improvement to meet business goals. The principles behind equipment failure are detailed in order to understand the design and use of predictive and preventative practices.

In addition, the uses of Reliability best practices are shown in the Capital Execution phase of projects and their importance for long-term asset performance.

David A. Rosenthal, P.E.

Reliability Delivery and Asset Management, Reliability Strategy and Implementation Consultancy, LLC.

Webinar content is available with the kind permission of the author(s) solely for the purpose of furthering AIChE’s mission to educate, inform and improve the practice of professional chemical engineering. The content reflects the views, opinions, and recommendations of the presenters. AIChE does not warrant or represent, expressly or by implication, the correctness or accuracy of the content of the information presented. All other uses are forbidden without the express consent of the author(s). For permission to re-use, please contact [email protected] . Attendee contact information, including email addresses, will be shared with AIChE, with the option to unsubscribe from future communications.

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• Language: English
• Skill Level: Intermediate
• Duration: 1 hour

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9 Principles of Effective PM Programs based on Reliability Centered Maintenance (RCM)

WRITEN BY: Erik Hupje

15 min read

Table of Contents

In this article, I provide a brief history of the development of Reliability Centered Maintenance (RCM). And from there we explore 9 principles derived from RCM that will help you build an effect ive Preventive Maintenance Program. As a maintenance & reliability practitioner, you should know these RCM principles and live by them so that you have an evaluation criteria for creating a cost effective maintenance strategy.

Fix it when it breaks

For most of human history, we’ve had a very simple approach to maintenance: we fixed things as they broke. Fix things as failure occurs. This served us well from our early days huddled around campfires until about World War II.

In those days, industries were not very complex or highly mechanized. The downtime was not a major issue and preventing equipment failures wasn’t a concern.

Figure 1: 1st Generation Maintenance was a long way from modern-day RCM

At the same time, most equipment in use was simple and more importantly, it was over-designed. This made equipment reliable and easy to repair. And most plants operated without any preventive maintenance in place. Maybe some cleaning, minor servicing, and lubrication, but that was about it.

This simple ‘fix it when it breaks’ approach to maintenance is often referred to as First Generation Maintenance. A failure occurs, no big deal.

Things changed during World War II

Wartime increased the demand for many, diverse products. Yet at the same time, the supply of industrial labour dropped. Productivity became a focus. And mechanization increased. By the 1950’s more and more complex machines were in use across almost all industries. Industry as a whole had come to depend on machines.

And as this dependence grew, it became more important to reduce equipment downtime. ‘Fix it when it’s broken’ no longer suited industries.

Figure 2: 2nd Generation Maintenance was dominated by time-based overhauls

A focus on preventing equipment failures emerged. And the idea took hold that failures could be prevented with a suitable preventive task at the right time. In other words, the industry moved from breakdown maintenance to time-based preventive maintenance. Fixed interval overhauls or replacements to prevent failures became the norm.

This approach to preventive maintenance is known as Second Generation Maintenance. 

More maintenance, more equipment failures

Between the 1950s and 1970s, the third generation of maintenance was born in the aviation industry.

After World War II, air travel became widely accessible. And passenger numbers grew fast. By 1958 the Federal Aviation Administration (FAA) had become concerned about reliability. And passenger safety.

At the time the dominant thinking was that components had a specific life. That components would fail after reaching a certain “age”. Replacing components before they reached that age would thus prevent failure. And that was how you ensured equipment reliability and passenger safety.

In the 1950’s and 1960’s the typical aircraft engine overhaul was every 8,000 hours. So when the industry was faced with an increasing number of failures, the conclusion was easy. Obviously component age must be less than the 8,000 hours that was being assumed. So, maintenance was done sooner. The time between overhauls reduced.

Easy, right?

But, increasing the amount of preventive maintenance had three very unexpected outcomes. Outcomes that eventually turned the maintenance world upside down.

First of all, the occurrence of some failures decreased. That was exactly what everybody expected to happen. All good.

The second outcome was that a larger number of equipment failures occurred just as often as before. That was not expected and slightly confusing.

The third outcome was that most failures occurred more frequently. In other words, more maintenance leads to more failures. That was counter-intuitive. And a shock to the system.

Figure 3: the findings that led to R CM were a shock to the system

The birth of Reliability Centered Maintenance (RCM)

To say that the results frustrated both the FAA and the airlines would be an understatement. The FAA worried that reliability had not improved. And the airlines worried about the ever-increasing maintenance burden.

So during the 1960’s the airlines and the FAA established a joint task force to find out what was going on. After analyzing 12 years of data the task force concluded that overhauls had little or no effect on overall reliability or safety.

For many years engineers had thought that all equipment had some form of wear out pattern. In other words, that as equipment aged the likelihood of failure increased. But the study found this universally accepted concept did not hold true.

Instead, the task force found six patterns describing the relationship between age and failure. And that the majority of failures occur randomly rather than based on age.

The task force findings were used to develop a series of guidelines for the aviation industry and airplane manufacturers on the development of reliable maintenance schedules for airplanes.

The first guideline titled “Maintenance Evaluation and Program Development” came out in 1968. The guide is often referred to MSG-1 and was specifically written for Boeing 747-100.

The maintenance schedule for the 747-100 was the first to implement Reliability Centered Maintenance program concepts using MSG-1. And it reduced maintenance costs by 25% to 35% compared to prior practices.

As a result, the aviation industry lobbied to remove all the 747-100 terminology from MSG-1. They wanted the maintenance schedules for all new commercial planes designed using the same process.

The result was MSG-2, released in 1970 titled “Airline/Manufacturer Maintenance Program Planning”.

Figure 4: RCM led to the birth of 3rd generation maintenance thinking

The first applications of Reliability-Centered Maintenance (RCM)

The move to 3rd Generation or Reliability-Centered Maintenance as outlined MSG-1 and MSG-2 was dramatic.

The DC-8’s maintenance schedule used traditional, 2nd Generation Maintenance concepts. It required the overhaul of 339 components and called for more than 4,000,000 labour hours before reaching 20,000 operating hours.

Compare that to the maintenance schedule for the Boeing 747-100, developed using MSG-1. It required just 66,000 labour hours before reaching the same 20,000 operating hours!

Another interesting comparison is to compare the number of items requiring fixed-time overhauls. The maintenance for the DC-10 was developed using MSG-2 and required the overhaul of just 7 items versus the 339 on the DC-8.

And both the DC-10 and Boeing 747-100 were larger and more complex than the DC-8.

Impressive results. And the US Department of Defense (DoD) thought so too.

Figure 5: the benefits of a reliability centered maintenance program for the airline industry was massive

The US Department Of Defense gets involved in RCM

So in 1974, the DoD asked United Airlines to write a report on the processes used to write reliable maintenance programs for civilian aircraft. And in 1978 Stan Nowlan and Howard Heap published their report. It was titled “Reliability Centered Maintenance”.

Since then a lot more work was done to progress the cause of Reliability-Centered Maintenance. The airline industry has moved to MSG-3. John Moubray published his book RCM2 in the 1990’s introducing Reliability Centered Maintenance concepts to the industry at large.

Nowadays, successful implementation of RCM programs are defined through international standards. But it’s the work done in the 60’s and 70’s that culminated in the Knowlan & Heap report in 1978 that all modern-day RCM approaches can be traced back to.

That’s now more than 40 years ago. So any Maintenance & Reliability professional should be familiar with it by now. It’s been around long enough. It’s well documented. And widely available.

Unfortunately, we find that’s not the case. The principles of modern maintenance as developed in the journey to Reliability-Centered Maintenance are not always known or understood. Let alone applied.

The rest of this article will outline those principles. They should underpin any sound maintenance program.

One of the best summaries of these principles can be found in the NAVSEA RCM Handbook. 4 I would highly recommend reading it. It is well written and easy to understand. And the following Principles of Modern Maintenance are very much built on the ‘Fundamentals of Maintenance Engineering’ as described in the NAVSEA manual.

What is Reliability Centered Maintenance (RCM)?

So, with all that history behind us, the question now is this:

What is RCM?

There are plenty of definitions out there, including many poor ones. To save us time, I’ve taken the definition from various reputable sources such as Weibull, Aladon, John Moubray, and Anthony ‘Mac’ Smith. And mixing in my personal experience with RCM, I’ve summarised what RCM is: 

RCM is NOT a tool or a piece of software like your computerized maintenance management system (CMMS) . 

It is an internationally defined, structured decision-making process.   

We use it to define or optimise our PM program, focusing on preventing system failures rather than preserving equipment.   

It is the gold standard when it comes to optimising our PM programs. When it comes to developing & improving PM programs, RCM is the most robust, most standardised process that is proven to yield exceptional results.

When done well, an RCM process will give you a highly effective and efficient  preventive maintenance program .  

The most fundamental requirement of any RCM process is that it must adequately and completely answer the following seven questions:   1. What are the functions and associated performance standards for the asset in its current operating context? 2. In what way can the asset fail to fulfill its functions? 3. What causes each possible functional failure? 4. What happens when each functional failure occurs? 5. In what way does each failure mode matter? 6. What should we do to predict or prevent each failure mode? 7. What should we do if a suitable preventive task cannot be found? When done well, a Reliability Centered Maintenance program (RCM) will deliver highly effective and efficient PM programs. RCM processes are defined through a set of international standards: SAE JA1011 titled “ Evaluation Criteria for Reliability Centered Maintenance Processes ” and SAE standard JA1012 titled “ A Guide to The Reliability Centered Maintenance Standard “.

However, for a successful implementation of a reliability centered maintenance program, there are two things you need to succeed: 

• Deep knowledge and experience of both the RCM process, as well as the plant and equipment that is being analyzed 
• Significant resources and effort to yield results. 

Because of this, you need to be wise about when, where, and how you implement a reliability centered maintenance program. You don’t want to implement it everywhere in your organisation. If you don’t pick the right situation, and deploy it when it is not the most appropriate, you’ll spend so much money without getting the results you’re looking for. You’ll simply be increasing your maintenance costs for nothing.

Many organisations don’t realise this and try to implement RCM everywhere. And when they fail, or see that RCM is too expensive, that’s when they say things like— 

“Enough of this RCM nonsense, it’s too expensive and beyond our maintenance budget.”  

Successful implementation of reliability centered maintenance should only be used for a small number of your equipment— the most troublesome, most expensive, or most impactful. That way, they can have reduced maintenance costs.

9 Principles from RCM to create an effective preventive maintenance program

Whether you are developing a new maintenance program. Or improving the maintenance program for an existing plant. All reliable maintenance programs should be based on the following Principles of Modern Maintenance:

Principle #1: Accept Failures

Principle #2: Most Failures Are Not Age-Related

Principle #3: Some Failure Consequences Matter More Than Others

Principle  #4: Parts Might Wear Out, But Your Equipment Breaks Down

Principle #5: Hidden Failures Must Be Found

Principle #6: Identical Equipment Does Not Mean Identical Maintenance Strategies

Principle #7: “You Can’t Maintain Your Way To Reliability”

Principle #8: Good Maintenance Programs Don’t Waste Your Resources

Principle #9: Good Maintenance Programs Become Better Maintenance Programs

As a Maintenance & Reliability professional, you must understand these principles so that you can create an effective maintenance strategy and build it into your computerized maintenance management system (CMMS).

You must practice them.

You must live by them.

Principle #1: Accept failures

Not all failures can be prevented by maintenance. Some failures are the result of events outside our control. Think lightning strikes or flooding. For events like these, more or better maintenance makes no difference. Instead, the consequences of these events should be mitigated through design.

And maintenance can do little about failures that are the result of poor design, lousy construction or bad procurement decisions.

In other cases, the impact of the failure is low so you simply accept the failure (think general area lighting). By allowing these to run to failure, you are increasing the cost effectiveness of your maintenance strategy.

So, good maintenance programs do not try to prevent all failures. Good maintenance plans and programs should accept some level of failure and be prepared to deal with the failures they accept (and deem credible).

Principle #2: Most failure modes are not age-related

As explained above the RCM research by the aviation industry has shown that 70% – 90% of failure modes are not age-related. Instead, for most failure modes the likelihood of occurrence is random. Later research by the United States Navy and others found very similar results.

This research is summarised in the six different failure patterns shown below: 

Figure 6: the failure patterns from various reliability centered maintenance studies

Apart from showing that most failure modes occur randomly. These failure patterns also highlight that infant mortality is common. And that it typically persists. That means that the probability of failure only becomes constant after a significant amount of time in service.

Don’t interpret Curves D, E, and F to mean that (some) items never degrade or wear out. Everything degrades with time, that’s life. But many items degrade so slowly that wear out is not a practical concern. These items do not reach wear out zone in normal operating life.

So what do these patterns tell us about our reliable maintenance programs?

Historically, maintenance was done in the belief that the likelihood of failure increased over time (first generation maintenance thinking). It was thought that well-timed maintenance could reduce the likelihood of failure. RCM has taught us that for at least 70% of equipment this simply is not the case.

For the 70% of failure modes which has a constant probability of failure, there is no point in doing time-based life-renewal maintenance tasks like servicing or replacement.

It makes no sense to spend maintenance resources to service or replace an item whose reliability has not degraded. Or whose reliability cannot be improved by that maintenance task.

In practice, this means that 70% – 90% of equipment failure modes would benefit from some form of condition based maintenance. And only 10% – 30% can be effectively managed by time-based replacement or overhaul.

Yet most of our PM programs are full of time-based replacements and overhauls.

Strictly speaking, the studies that documented the fact that 70% to 90% of failure modes were random only found this in specific industries and applications. And they were not conducted in major industries like oil & gas, mining, chemical manufacturing, food processing, power generation etc. So you could therefore dismiss these results with a simple “well, we’re in a different industry, so obviously this doesn’t apply to us”. I strongly believe this principle applies to all heavy industries (more on that in a future article) and would strongly encourage you to approach this with the question “Why wouldn’t it apply to us?” and then carefully examine what you could gain from applying this principle.

Principle #3: Some failure consequences matter more than others

When deciding whether to do a maintenance task consider the consequence of not doing it. What would be the consequence of letting that specific failure mode occur?

Avoiding that consequence is the benefit of your maintenance.

The return on your investment.

And that is exactly how maintenance should be seen: as an investment. You incur maintenance costs in return for a benefit in sustained safety and reliability. And as with all good investments, the benefit should outweigh the original investment.

So, understanding failure consequences is key to developing a good maintenance program. One with a good return on investment.

Just as not all failures have the same probability, not all failures have the same consequence.

Even if it relates to the same type of equipment.

Consider a leaking tank. The consequence of a leaking tank is severe if the tank contains a highly flammable liquid. But if the tank is full of potable water the consequence might not be of great concern.

But what if the water is required for fire fighting?

The same tank, the same failure mode, but now we might be more concerned. We would not want to end up in a scenario of not being able to fight a fire because we had an empty tank due to a leak.

Apart from the consequence of a failure you also need to think about the likelihood of the failure actually occurring.

Maintenance tasks should be developed for dominant and important failure modes only. Those failures that occur frequently and those that have serious consequences but are less frequent to rare. Avoid assigning maintenance to non-credible failure modes. And avoid analyzing non-credible failure modes. It eats up your scarce resources for no return.

A maintenance program should consider both the consequence and the likelihood of failures. And since Risk = Likelihood x Consequence we can conclude that good maintenance programs are risk-based.

Good maintenance programs use the concept of risk to assess where to use our scarce resources to get the greatest benefit. The biggest return on our investment.

Principle #4: Parts might wear out, but your equipment breaks down

A ‘part’ is usually a simple component, something that has relatively few failure modes. Some examples are the timing belt in a car, the roller bearing on a drive shaft, the cable on a crane.

Simple items often provide early signals of potential failure, if you know where to look. And so we can often design a task to detect potential failure early on and take action prior to failure.

For those simple items which do “wear out” there will be a strong increase in the probability of failure past a certain age. If we know the typical wear outage for a component, we can schedule a time-based task to replace it before failure.

When it comes to complex items made of many “simple” components, things are different.

All those simple components have their own failure modes with its own failure pattern. Because complex items have so many, varied failure modes, they typically do not exhibit wear outage. Their failures do not tend to be a function of age but occur randomly. Their probability of failure is generally constant as represented by curves E and F.

Most modern machinery consists of many components and should be treated as complex items. That means no clear wear outage. And without clear wear out age performing time-based overhauls is ineffective. And wasteful of our scarce resources.

Only where we can prove that an item has wear outage does performing time-based overhaul or component replacement make sense.

Principle #5: Hidden failures must be found

Hidden failures are failures that remain undetected during normal operation. They only become evident when you need the item to work (failure on demand). Or when you conduct a test to reveal the failure – a failure finding task.

Hidden failures are often associated with equipment with protective functions. Something like a high-high pressure trip. Protective functions like these are not normally active. They are only required to function by exception to protect your people from injury or death. To protect the environment from a major impact or protect our assets from major damage. This means we pretty much always conduct failure finding maintenance tasks on equipment with protective functions.

To be clear, a failure finding task does not prevent failure. Instead, a failure finding task does exactly what its name implies. It seeks to find a failure and identify failure modes. A failure that has already happened, but has not been revealed to us. It has remained hidden.

We must find hidden failures and fix them before the equipment is required to operate.

Principle #6: Identical equipment does not mean identical maintenance strategies

Just because two pieces of equipment are the same doesn’t mean they need the same maintenance. In fact, they may need completely different and appropriate maintenance tasks.

The classic example is two exactly the same pumps in a duty – standby setup. Same manufacturer, same model. Both pumps process the exact same fluid under the same operating conditions. But Pump A is the duty pump, and Pump B is the standby. Pump A normally runs and Pump B is only used when Pump A fails.

When it comes to failure modes Pump B has an important hidden failure mode: it might not start on demand. In other words, when Pump A fails or under maintenance, you suddenly find that Pump B won’t start. Oops.

Pump B doesn’t normally run so you wouldn’t know it couldn’t start until you came to start it. That’s the classic definition of a hidden failure mode. And a hidden failure mode like this requires a failure finding task i.e. you go and test to see if Pump B will start. But you don’t need to do this for Pump A because it’s always running (unless when it’s off or failed).

So when building a maintenance program you must consider the operating context (RCM is very clear on this, but other approaches sometimes neglect operating content).

A difference in criticality can also lead to different maintenance strategies. Safety or production critical equipment will need more monitoring and testing than the same equipment in low criticality service.

It’s important to reinforce that identical equipment may need different maintenance strategies. This is far too often forgotten or simply ignored for convenience. But you could find yourself facing critical failures by ignoring this basic concept. Especially if you use a library of preventive maintenance tasks.

Principle #7: “You can’t maintain your way to reliability”

I love this quote from  Terrence O’Hanlon  and it’s so very true. Maintenance can only preserve your equipment’s inherent design reliability and performance.

If the equipment’s inherent reliability or performance is poor, doing more maintenance will not help.

No amount of maintenance can raise the inherent reliability of a design.

To improve poor reliability or performance that’s due to poor design, you need to change the design. Simple.

When you encounter failures – defects – that relate to design issues you need to eliminate them.

Sure, the more proactive and more efficient approach is to ensure that the design is right, to begin with. But all plants startup with design defects. Even proactive plants. And that’s why the most reliable plants in the world have  an effective defect elimination program  in place.

Principle #8: Good maintenance programs don’t waste your resources

This seems obvious, right? But when we review PM programs we often find maintenance tasks that add no value. Tasks that waste resources and actually reduce reliability and availability.

It’s so common for people to say “whilst we do this, let’s also check this. It only takes 5 minutes.”

But 5 minutes here and there, every week or every month and we’ve suddenly wasted a lot of time. And potentially introduced a lot of defects that can impact equipment reliability down the line.

Another source of waste in our  PM programs  is trying to maintain a level of performance and functionality that we don’t actually need.

Equipment often have associated performance standards and are designed to do more than what they are required to do in their actual operating conditions. As maintainers, we should be very careful about maintaining to design capabilities. Instead, in most cases, we should maintain our equipment to meet operating requirements. Maintenance done to ensure equipment capacity greater than actually needed is a waste of resources.

Similarly, avoid assigning multiple tasks to a single failure mode. It’s wasteful and it makes it hard to determine which task is actually effective. Stick to the rule of a single, effective task per failure mode as much as you can. Only for very high consequence and important failure modes should you consider having multiple, diverse tasks to a single failure mode.

Most organisations have more maintenance to do than resources to do it with. Use resources on unnecessary maintenance, and you risk not completing necessary maintenance. And not completing necessary maintenance, or completing it late, increases the risk of failures.

And when that unnecessary maintenance is intrusive it gets worse. Experience shows that intrusive maintenance leads to increased failures because of human error. This could be simple mistakes. Or because of defective materials or parts, or errors in technical documentation.

A lot of maintenance is done with the equipment off-line. So doing unnecessary maintenance can also increase production losses.

So make sure you remove unnecessary maintenance processes from your system. Make sure you have a clear and legitimate reason for every task in your maintenance program. Make sure you link all effective tasks to a dominant failure mode. And have clear priorities for all effective tasks. That allows you to prioritise tasks. In the real world, we are all resource-constrained.

Principle #9: Good maintenance programs become better maintenance programs

The most effective maintenance programs are dynamic. They are changing and improving continuously. Always making better use of our scarce resources. Always becoming more effective at preventing those failures that matter to our business.

When improving your maintenance program, you need to understand that not all improvements have the same leverage:

First, focus on eliminating unnecessary maintenance tasks. This eliminates the direct maintenance of labour and materials and helps in reducing costs. But it also removes the effort required to plan, schedule, manage, and report on this work.

Second, change time-based overhaul or replacement tasks into condition-based tasks. Instead of replacing a component every so many hours, use condition based maintenance to assess how much life the component has left. And only replace the component when actually required.

And third, extend task intervals. Do this based on data analysis, operator and maintainer experience. Or simply on good engineering judgment. Remember to observe the results.

The shorter the current interval, the greater the impact when extending that interval. For example, adjusting a daily task to weekly reduces the required PM workload for that task by more than 80%.

This is often the simplest and one of the most effective improvements you can make.

Before I wrap up this article, I wanted to answer some of the most common FAQs relating your maintenance process and to a reliability centered maintenance program, and these are:

What is the difference between RCM and FMEA?

Failure Mode Effects Analysis (FMEA) or is a step in the reliability centered maintenance (RCM) process, but RCM does a lot more than just analysing functional failures. It focuses on defining functions, being clear on the operating context and selecting the right maintenance tasks based on the analysis of the different important failure modes. u003cbru003eu003cbru003eI like to say that RCM is function-based, Preventive Maintenance Optimisation (PMO) is task-based, and Failure Mode Effects Analysis (FMEA) is equipment based, but all good analyses are failure mode based!

What are the types of reliability-centered maintenance?

Be very careful with the idea that there are ‘types of reliability centered maintenance’. People do talk about classical RCM and accelerated RCM. Classical RCM is the RCM process as originally defined by Nowland u0026amp; Heap and now documented in SAE JA1011 and SAE JA1012. Accelerated RCM is an adaption of the classical RCM process, and there are quite a few variations – some are robust but others are not. Buyer beware!

What is the primary objective of RCM?

The primary objective of reliability-centered maintenance is to achieve the required reliability levels for a system, at optimised maintenance process and cost levels by focusing on the preservation of key functions.

Should we start with an RCM process to improve our reliability?

The first step to improving your reliability is to implement maintenance planning and scheduling. Without maintenance planning and scheduling in your maintenance strategies, you won’t have the time or resources to effectively implement RCM processes. The cost effectiveness of a good maintenance management process makes it a good investment.

I wrote this article based on a number of key sources listed below (and throughout the article). I strongly recommend getting yourself a copy of Moubray’s book on Reliability Centered Maintenance if don’t already own a copy. And I’d definitely get the NAVSEA Reliability Centered Maintenance (RCM) manual as it’s well-written and easy to understand:

• Moubray, J. (1997) Reliability Centered Maintenance Second Edition. Industrial Press. Available at:  https://www.amazon.com/Reliability-Centered-Maintenance-Second-John-Moubray/dp/0831131462 .
• NAVSEA (2007) Reliability Centered Maintenance (RCM) Handbook [S9081-AB-GIB-010]. Available at:  https://www.amazon.com/NAVSEA-Reliability-Centered-Maintenance-RCM-Handbook-ebook/dp/B00U1UJPKK .
• Allen, T. M. (2001) ‘U.S. Navy Analysis of Submarine Maintenance Data and the  Development of Age and Reliability Profiles’. Available at:  http://www.plant-maintenance.com/articles/SubmarineMaintenanceDataRCM.pdf .
• White Paper (no date) ‘What is Reliability Centered Maintenance?’ Available at:  https://www.mainsaver.com/pdf/Reliability_Centered_Maintenance_White_Paper.pdf .
• Wikipedia (2017) Reliability-centered maintenance. Available at:  https://en.wikipedia.org/wiki/Reliability-centered_maintenance
• NASA (2008) Reliability-Centered Maintenance Guide. Available at https://www.nasa.gov/sites/default/files/atoms/files/nasa_rcmguide.pdf

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Maintenance and Reliability

Jan 25, 2013

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Maintenance and Reliability. Ross L. Fink. Maintenance. All activities involved in keeping a system’s equipment in working order. Reliability. The probability that a machine part or product will function properly for a specified time under stated conditions.

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• specified time
• total productive maintenance
• preventive maintenance
• system reliability

Presentation Transcript

Maintenance and Reliability Ross L. Fink

Maintenance • All activities involved in keeping a system’s equipment in working order

Reliability • The probability that a machine part or product will function properly for a specified time under stated conditions

System Reliability - Components in Series 100 80 60 40 20 0 n=1 n=10 Reliability of the System (Percent) n=50 n=100 n=300 n=400 n=200 100 99 98 97 96 Average Reliability of all Components (Percent)

System Reliability • Rs=R1*R2*R3*…*Rn • Where, • Rs = System reliability • Ri= reliability of component i

Reliability Tactics • improving individual components • providing redundancy

Redundancy • The use of components in parallel to raise reliabilities • Example, what is the effective reliability of two components used in parallel with reliability of .90? • =.90 + (1-.90)*.90)=.99

Mean Time Between Failures (MTBF) • FR(N) = number of failures during a period of time • MTBF=1/FR(N)

Maintenance • Preventive Maintenance • A plan that involves routine inspections, servicing, and keeping facilities in good repair to prevent failure • Breakdown Maintenance • Remedial maintenance that occurs when equipment fails and must be repaired on an emergency or priority basis

Total Productive Maintenance • TQM applied to Maintenance • Components • Predictive maintenance • Cleaning the machines • Creating standards on the equipment for cleaning, lubrication, and daily checks • Collecting data on downtime • Creating equipment improvement teams • Creating TPM area coordinators

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Reliability, Availability, Maintainability (RAM) Concept Explained

In an ideal world, all assets would be designed in such a way that they rarely fail and that they are easy and cheap to maintain. Since we do not live in a fairytale, we rely on Reliability, Availability, and Maintainability analysis to find a balance between asset productivity, purchasing, and maintenance cost.

What is Reliability, Availability and Maintainability (RAM)?

Reliability, Availability, and Maintainability (RAM) are design attributes of a system or an asset . They hold great importance, not just to system engineers, but to operators and maintenance professionals as well. 

Collectively, these parameters are leveraged to improve the productivity of the asset over its life cycle by reducing waste, maximizing profit, and ultimately, optimizing its overall life cycle (LCC) costs .

Let’s quickly define each parameter to ensure we are on the same page.

Defining reliability

The term Reliability represents the probability that an asset will operate without failure in a given time under strict conditions. It is commonly calculated through metrics such as Mean Time Between Failures (MTBF) for repairable items and Mean Time to Failure (MTTF) for non-repairable items . 

Defining maintainability

The term maintainability describes how easy and resource-intensive it is to perform maintenance on an asset. It can also be used to define the probability of an asset returning to its intended state upon completion of a maintenance task. It is commonly measured by a metric called Mean Time to Repair (MTTR) . 

Defining availability

Availability is a unique parameter that combines both reliability and maintainability parameters. It provides the probability that an asset is in operable condition at a given time (it is not undergoing maintenance or repairs ). 

Checklist for Creating a Preventive Maintenance Plan

Following a consistent preventive maintenance plan can make life easier. use this checklist to create your own.

Why are these parameters studied together?

Reliability, Availability, and Maintainability have to be studied together (a process called RAM analysis ) to reach a meaningful and actionable conclusion. This is because these parameters are interdependent and often in conflict with each other. In other words, improving one parameter will likely result in the deterioration of the other two. 

Let’s introduce an example.

Machine design can be made very efficient by incorporating complicated fault tolerance mechanisms , which can improve its inherent reliability. However, complicating the design can proportionally increase the time maintenance technicians have to spend on routine maintenance , reducing its maintainability. 

We can easily flip this into an opposing direction.

The maintenance instructions can be made overly simple. For instance, you can increase maintainability by reducing the number of items to sign off on your preventive maintenance checklists . However, this will likely result in some parts of the machine not being properly inspected, increasing the probability of failure and decreasing its reliability. 

Some industries have tight requirements for minimum Levels of Service (LOS) – defined under the definition of availability – that have to be maintained under all conditions. This means the reliability and maintainability parameters have to be analyzed keeping in view the consideration of the availability. 

The application of RAM analysis throughout the equipment life cycle

RAM analysis is generally performed at the design stage by a team composed of design, systems, and reliability engineers. However, the analysis can be repeated throughout the lifecycle of the asset by maintenance and service reliability engineers that have key data points on asset health and performance. 

The Reliability, Availability, and Maintainability analysis can be expanded by adding the safety component to existing parameters, turning RAM into the so-called RAMS analysis .  

RAM analysis after the design stage can be helpful to evaluate the current state of the asset. After all, assets rarely operate in ideal conditions. You could say that each asset has a unique lived experience .

No two assets are the same

Two identical assets installed into different operating environments may perform differently and have very different lengths of useful lives . This difference could be due to a range of factors such as:

• Extreme weather/operating conditions that can cause accelerated degradations
• Manufacturing deviations
• Diversity in training and competency of staff operating and maintaining the equipment
• The quality of spare parts used

All of this leads us to the conclusion that assets will have varying failure rates. Therefore, the purpose of extending RAM analysis during the operations phase is to account for the effect of changing conditions and the associated failure rates.

To understand this concept better, consider the example of a railway station where every locomotive has to arrive and depart in a precise 3 min window to achieve a desired on-time performance of 95%. In that context, the maintainability of the train locomotive has to be decided in such a way that it is sufficient to cater to the failure rates for each sub-system of the locomotive. 

Now, if the maintenance level decided during the design stage is kept constant throughout its useful life, it will likely result in over or under maintenance of the locomotive at different stages of its life cycle. 

Maintenance levels should match the asset’s needs 

Let’s continue with the locomotive example. 

During infant mortality when the failure rate is decreasing, the maintenance or inspection levels may not be sufficient to keep the locomotive in prime operating condition. Similarly, during the wear-out zone, when the failure rate starts to rise again, the maintenance levels may again shortfall. In other words, maintenance levels cannot be kept constant from equipment installation to disposal . 

Ideally, you would have information on the asset health recorded in your CMMS software . You could then use that info to determine the actual failure rates of the asset. The actual maintenance level could be adjusted corresponding to those failure rates while taking into account the desired trade-off between reliability, maintainability, and availability .

Supporting RAM with condition monitoring

Often industries incorporate advanced condition monitoring systems that provide real-time data about the health of the asset and inform equipment operators about the onset of potential failures before they turn into actual functional failures. 

Asset condition monitoring is a well-known and proven technique for reducing the P-F interval of the asset . It directly increases maintainability and availability metrics.

Maintainability is improved in the sense that there will be less need to disengage the equipment from the production line to visually inspect specific parts. Similarly, availability will be improved as unnecessary downtime will be curtailed and will occur only when the equipment is nearing its potential failure point in the P-F interval. 

This data provided by condition monitoring technology can also be used by system engineers to proactively improve equipment reliability through design changes. 

In general, this phenomenon of continuous improvement has been seen to improve reliability, availability, and maintainability at each stage of the asset lifecycle.

Min-maxing costs and benefits

Due to the ever-rising cost of material, business competition, soaring inflation, and shortage of supplies and manpower, it has now become an expectation from system engineers to develop systems that do not just operate but actually function optimally – minimizing operating and maintenance costs, while maximizing overall benefits. 

To achieve this, the right strategy is the one that adjusts the maintenance of the asset and its renewal/replacement strategy in a way that optimizes the overall life cycle cost of the asset. 

The only way to do that is to have the right data and analyze it in the proper context. Contact us today to get more info on how Limble ensures you always have quick access to condition monitoring data and historical maintenance information.

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