Your Reliability Engineering Professional Development Site
Teaching reliability occurs through textbooks, technical papers, peers, mentors, and courses. The many sources available tend to use MTBF as a primary vehicle to describe system reliability.
What has gone wrong with our education process? [Read more…]
The 5-Whys approach in product development enhances reliability by understanding failure modes. The 5-wys technique is a powerful tool for root cause analysis. Originally developed by Sakichi Toyoda and later popularized by Keiichi Ono.
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The reality: Savings in work execution can easily be 30 to 60% of what you are spending today! That’s less labor, less overtime, less contracting, less consumption of parts and materials, less spend on delivery logistics, and less procurement activity. If your maintenance costs are in the range of 10 to 30% of your operating spend, you can save 3 to 18% of your operating labor costs by focusing on maintenance planning, scheduling and improving your proactive maintenance program.
The myth: many believe that planning and scheduling will solve their maintenance productivity problems, so they focus efforts to improve them. But despite their efforts, results don’t change. Time and again, we see reports showing relatively high levels of planned work but low schedule compliance, and production outputs don’t change. What’s going on?
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Change to Component Health Monitoring for Massive Equipment Reliability Improvement. Many condition monitoring (CM) techniques require that your machines and equipment reach a near failed state before they detect the symptoms of failure. This guarantees that you will have many machines in your operation always near-to-failure. Outstanding reliability instead requires you to create the conditions of long-lasting machinery health and to ensure those conditions are always present. As a consequence of having a machine health improvement focus you proactively cause equipment wellness in your operation and thereby create huge reliability growth.
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Interest in risk culture has been growing since the 2008 Global Financial Crisis. It is a topic that is getting more and more spotlight.
Regulatory authorities are demanding that financial institutions improve their ‘risk culture’. Workplace health and safety authorities are urging organisations to improve their ‘safety culture’. Everyone is talking about having a ‘customer experience culture’. And the list goes on.
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In this session, we will delve into essential strategies for gaining clarity in the midst of reactive maintenance challenges.
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Why Do Reliability Centered Maintenance (RCM) Analyses Fail?
Hi everyone, I’m Nancy Regan, and in today’s video, I’m coming to you from the ancient ruins of Chichen Itza in Mexico! Standing in front of the “ball game” court, I’m reminded of one of the biggest reasons why Reliability Centered Maintenance (RCM) analyses often fail.
Just like trying to learn everything about this historic site in a few minutes, many organizations attempt to implement RCM after reading a book or taking a quick course, without truly understanding the process. In this video, I explain why having a deep understanding of RCM is crucial to carrying out a successful analysis—and how going into too little or too much detail can cause problems.
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Dear friends, This is Hemant Urdhwareshe! I am uploading this video, which is different from our other videos! In this video, I have explained the “Confusion Matrix” and related terms such as Sensitivity, Specificity, Accuracy with reference to RT-PCR Test to detect Covid-19 infection. I and my son were isolated for Covid-19 as I was detected Covid-19 positive before my return travel and then isolated for about a fortnight in Egypt! This video is a result of my experience and review of travel rules! I am sure you will find this interesting and thought-provoking!
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The concept of Reliability is often misused, misunderstood, and misinterpreted. Reliability in its academic root, is defined as the probability that a system will perform its intended function in a specified mission time and within specific process conditions. So, it is in essence a probability.
The time variable is crucial in calculating the reliability of a system. Reliability is the Probability of Success. And 1 minus the Probability of Failure.
$$ \displaystyle \large R\left(t\right) = 1 – F\left(t\right) \:\:\:\: (where \: F = Failure \: Probability) $$
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In reliability engineering, we often need to extrapolate test data collected under accelerated stress conditions to predict performance under normal operating conditions. Two mathematical models commonly used for this purpose are the power-law model and the exponential model. But which one should you choose when your data fits both models equally well? This article explores the differences between these models and provides practical guidance on making this critical decision.
A simplifying assumption associated with using MTTF or MTBF implies a constant hazard rate. Some assume we’re in the useful life section of the bathtub curve. Others do not understand what assumptions they are making.
Using MTTF or MTBF has many problems and as regular reader here know, we should avoid using these metrics.
By using MTTF or MTBF we also lose information. We are unable to measure or track the rate of change of our equipment or system’s failure rates (hazard rate). The simple average is just an average and does not contain the essential information we need to make decisions.
Let’s explore five different reasons the rate of change of a failure rate is important to measure and track. [Read more…]
Preventive maintenance is a proactive approach used by industries to ensure the longevity and optimal performance of their assets. It involves regular maintenance tasks such as cleaning, lubrication, parts replacement, and equipment repairs to prevent unplanned downtime and costly breakdowns.
[Read more…]“If you don’t know where you are going, you’ll end up someplace else.” – Yogi Berra
In this article, I will outline how to evaluate an individual FMEA against the FMEA Quality Objective for Scope. [Read more…]
The vital difference between using consequence or chance reduction strategies if you want operational excellence results, is consequence reduction requires repairs and maintenance, whereas chance reduction removes repairs and maintenance.
In reading “Enterprise Asset Management Success the Plant Wellness Way for CEOs and Senior Executives” I was interested in your table on page 15 that showed risk based inspection and condition based monitoring techniques as consequence reduction strategies.
My understanding is that both RBI and CBM are specifically designed to prevent failure through reducing the likelihood of failure i.e. by detecting failure before it happens within timescales that allow mitigation action to be taken. In the API 581 RBI standard, consequence is treated as a constant over time so the methodology specifically targets risk reduction through more effective inspection or design changes. [Read more…]
This article shows reductio ad absurdum in action. Yes you can achieve any MTBF you want, by mixing products with Weibull life distributions, but you won’t want the consequences. The article also shows the absurdity of specifying MTBF, alone.
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