In this episode we will discuss the two main types of failures and how to go about developing a bad actor equipment list.
Determining Your Bad Actors
Boeing is Steering Harder into its Spiral of Death
Boeing has somehow managed to make the bad public relations created by those pesky onboard batteries catching fire in 2013 practically disappear. Not through good management. But through a never-ending series of disasters and catastrophes that shows no sign of letting up which is dominating Boeing’s news cycle that there is no remaining airtime for missteps like those battery fires.
The Language We Use Matters
During RAMS this year, Wayne Nelson made the point that language matters. One specific example was the substitution of ‘convincing’ for ‘statistically significant’ in an effort to clearly convey the ability of a test result to sway the reader. For example ‘the test data clearly demonstrates…’
As reliability professionals let’s say what we mean in a clear and unambiguous manner.
Thus, you may suspect, this topic is related to MTBF.
[Read more…]Daffodils explain the difference between Preventive Maintenance Optimization (PMO) and RCM…
There is a big difference between Preventive Maintenance Optimization (PMO) and Reliability Centered Maintenance (RCM). Daffodils are a perfect way to explain the difference.
[Read more…]ISO 31000 Risk Treatment
Guest Post by Peter Holtmann (first posted on CERM ® RISK INSIGHTS – reposted here with permission)
This article is the twelfth of fourteen parts to our risk management series. The series will be taking a look at the risk management guidelines under the ISO 31000 Standard to help you better understand them and how they relate to your own risk management activities. In doing so, we’ll be walking through the core aspects of the Standard and giving you practical guidance on how to implement it.
In previous articles we’ve looked at the core elements of the risk management framework and the role of leadership and commitment, integration, design, implementation, evaluation and improvement more specifically. We’ve also briefly looked at the risk management process in a general sense, the importance of communication and consultation, how to set your scope, context and criteria, as well as the identification, analysis and evaluation of risks. In this article, we’ll be looking at treating risk. [Read more…]
Maintenance Backlog Management in a Nutshell
Guest post by David Finch, MSc, MIEAust, CEng, FSOE, AIMM
Maintenance Work Backlog Management: a Start in Managing Maintenance! A maintenance manager can commence a maintenance improvement programme by simply creating opportunities for individuals and groups to make high performance contributions. One way to do this is to manage the Maintenance Backlog.
[Read more…]Maintenance and Reliability Best Practices: Asset Management
Statistical Tolerancing using Monte Carlo Simulation
One of the weak areas in designing parts is deciding tolerances of various parts. Most engineers are familiar with Arithmetic Tolerance stack up analysis wherein they check impact of maximum and minimum values of various tolerances on assembly of parts. However, this can often result in high manufacturing cost. Thus, it may be more appropriate to analyse tolerances using statistical tolerance stack up approach. This can be performed using Monte Carlo Simulation. In one of the previous videos, I had shown how to predict reliability using Monte Carlo simulation. In this video, I will explain how to perform statistical tolerance stack up analysis using Monte Carlo Simulation. I have used Simular software to demonstrate this with a practical example. Simular is a free software (emailware) which can be downloaded from https://www.simularsoft.com.ar/. However, one can use other software such as Crystal Ball, @Risk etc. for such analysis. Statistical tolerance stack up is usually an integral part of Design for Six Sigma (DFSS) projects. I hope viewers will find this video useful. Feedback is welcome!
[Read more…]What is the “M” In RAM? – The Concept and Importance of Maintainability
In line with the RAM acronym sequence, we often start and go no further than the “R” in Reliability. In doing so, we forget about the “M”. The question often asked is: “what is the reliability of the system?” But rarely asked is: “what is the maintainability of the same system?” Myself, am guilty of this omission. Hence this article to remind myself and you the reader, of the importance of Maintainability in industry.
[Read more…]Leadership and the Failure of the Apple Car
Apple recently did something that it isn’t in the habit of doing. And that is – admitting failure. After spending $ 10 billion on ‘Project Titan’ whose aim was to produce a ‘really cool car,’ Apple decided to pull the pin and cancel it.
Simplifying Apple’s Project Titan ambitions to something as pithy as creating a ‘really cool car’ might seem a little condescending. The problem for Apple was that unfortunately, this was the practical truth. And that is why it failed.
Warranty – The Bad Old Days and What Came After
If I must date myself, I cut my teeth as a product development engineer in the automotive industry in the bad old days when warranty terms were shockingly poor. Let’s examine this through the lens of my first new car which I purchased in 1984. Why was my warranty coverage so bad, what drove the significant improvements seen in the industry since that time, and how do we now validate our products to keep it that way?
P Diagram and Robustness
When facing yet another field issue with a high price tag, my Chief Technical Officer asked me, “How do we get more predictive so we can identify and prevent these failures from occurring in the future?” Similarly, I had a friend who was trying to optimize a key customer feature of a future product. He ran robustness experimentation considering over 40 noise and control factors that the team had brainstormed. And yet, when field trials started, the device had several failures of unknown cause. Of the more than 40 factors that they had considered during brainstorming, they missed the noise factor that was triggering these failures. I’ll turn to you and ask the same question: How do we get better at predicting future failures and preventing them from occurring? If we had infinite knowledge, we could see these failures before they occurred.
[Read more…]Do Not Want Equipment Failures
I am a rock climber. Climbing relies on skill, strength, knowledge, luck, and sound gear. Falling is a part of the sport, and with the right gear, the sport is safe. So far, I’ve enjoy no equipment failures.
I do not know, nor want to know, the MTBF (or MTTF) of any of my climbing gear. I’m not even sure this information would be available. And, all the gear I use has a finite chance of failing every time the equipment is in use. Part of my confidence is that the probability of failure is really low.
[Read more…]Interactive Information for Human Error Prevention and Mistake Proofing in Maintenance
Human error causes 80% of plant and equipment failures. It is the single factor, which if controlled, makes the most difference to achieving world class equipment reliability and operational success. With the introduction of low cost communication and visual devices it is now possible to assist maintenance workers proactively prevent human error. By using interactive audio-visual devices workers can be coached through a job error-free to get right-first-time quality every time.
Business Ethics in the Workplace
Guest Post by Bill Pomfret (first posted on CERM ® RISK INSIGHTS – reposted here with permission)
Ethics is about making choices that may not always feel good or seem like they benefit you but are the right choices to make. They are the choices that are examples of model citizens and examples of the golden rules. We’ve all heard the golden rules: Don’t hurt, don’t steal, don’t lie, or one of the most famous: Do unto others as you would have done to you. These are not just catchy phrases; these are words of wisdom that any productive member of society should strive to live by.
[Read more…]