Your Reliability Engineering Professional Development Site
It took us years to move from top-down to people-centric management, but the journey was worth it Peter Drucker once said, “Culture eats strategy for breakfast.” Throughout my career, I have spent a lot of time in the strategy room. But no matter what we decided there, until we got the organizational culture right, we were unsuccessful in executing our goals.
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The United States Conference of Mayors created a PFAS Toolkit. The information and resources included provides insights into several key aspects that local governments and businesses should be aware of in relation to PFAS (forever chemicals). Key parts of the PFAS Toolkit are presented here.
Per- and polyfluoroalkyl substances (PFAS) are a group of chemicals developed in the 1940s that have been used in a variety of consumer products like semiconductors, cellphones, textiles, renewable energy, and medical devices. Two chemicals, perfluorooctanoic acid (PFOA) and perfluorooctanesulfonic acid (PFOS) are no longer produced today, but they were once used in a wide variety of industries. Today, trace levels of PFOA and PFOS can be measured in water, air, soil, animals, humans, and some consumer products globally. PFOA/PFOS are persistent in the environment, and some studies suggest that long-term exposure at increased doses may lead to negative health impacts. [Read more…]
The following is a recent discussion on the sister Linkedin NoMTBF Group. It was and may continue to be a great discussion. Please take a look and comment on where you stand. Do you have some form of the Arrhenius reaction rate equation in your reliability engineering work? Join the discussion here with a comment or on the Linkedin group conversion.
Fred
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This article focuses on the task level of a project which is the key to merging the different methodologies. There is a lot of articles on line that explain what the merger will look like and the pros and cons of it but I found nothing to explain HOW TO DO IT? This article goes into quite a bit of detail but I felt I had no choice to convey to the reader how to merge the two methodologies with examples.
Agile was created for software development projects. Some of the key benefits of this methodology are flexibility, speed, high quality, and continuous improvement. These features are implemented at the Scrum level. One major problem with Agile is that it does not scale up to large projects due to lack of structure, changing requirements and scope, and lack of a baseline to measure project performance. In my opinion, it works well for small software and IT projects that are less than a year in duration and less than $1M in value
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In the realm of risk assessment and management, traditional tools like Failure Mode and Effects Analysis (FMEA) and risk matrices have been widely accepted as the norm. However, beneath the surface of these established methods lie hidden flaws of FMEA and risk matrices that can significantly impact the effectiveness of risk analysis and decision-making processes. The latest podcast episode takes a deep dive into these issues, offering listeners an exploration of the challenges posed by conventional risk assessment techniques.
The episode emphasizes the importance of staying informed and adapting to new methods in the ever-evolving landscape of risk management. By doing so, professionals can ensure that they are not only equipped to handle current challenges but also prepared to meet the demands of the future.
A good way to change mindsets and behaviors toward preventing forced outages and stoppages is to show everyone in the operation the total business losses of breakdowns.
It is incredible what the total business losses of breakdowns can rise too. Plant and equipment breakdowns are ultimately due to having wrong thinking and doing wrong practices. In this response to an FAQ, I advise to tell your people the true costs of breakdowns. Let them share the pain and loss suffered by the business and start them thinking of better ways to care for their operating assets.
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Assessing critical infrastructure and facilities is essential for maintaining performance as systems age. Mid-level engineers are frequently tasked with leading a reliability assessment with limited training. The good news is that you don’t need to be a subject matter expert to be successful. But you do need a structured collaboration approach and a mental model to help you through the tough spots. Success rises and falls based on the quality of the facilitation. [Read more…]
This article is the final 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, identifying, analysing and evaluating risks, and monitoring and reviewing risks. In this article, we’ll be looking at recording and reporting risks.
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Dianna Deeney in her piece in CERM Insights #362 notes that big data may provide the quality profession with more professional opportunities. Dr Anil Maheshwari in his book Data Analytics: Made Accessible specifically indicates that quality management will benefit from big data. (1)
There can be no doubt that big data is an important environmental change and challenge for most businesses. It changes the environment because with increased computer storage and computational power, companies can access and evaluate more and more information about process performance and customer satisfaction. It is a challenge because the field is relatively new, and management is still trying to understand how the information can best be applied.
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Lifetime data is nice to have, but lifetime data is not necessary! Generally Accepted Accounting Principles require statistically sufficient data to estimate nonparametric reliability and failure rate functions. Some work is required!
ISO 14224 “Petroleum, Petrochemical and Natural Gas Industries—Collection and Exchange of Reliability and Maintenance Data for Equipment” requires lifetime data to estimate exponential or Weibull reliability functions! Sales or ships and returns or failure counts are statistically sufficient to make nonparametric estimates of reliability and failure rate functions, without unwarranted distribution assumptions or lifetime data!
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Fred asked me to explain why use nonparametric statistics? The answer is reality. Reality trumps opinion, mathematical convenience, and tradition. Reality is more interesting, but quantifying reality takes work, especially if you track lifetimes. Using field reliability reality provides credibility and could reduce uncertainty due to tradition and unwarranted, unverified assumptions.
Data is inherently nonparametric. Cardinal numbers are used for period counts: cohorts, cases, failures, etc. Accounting data is numerical; it is derived from data or from dollars required by GAAP (Generally Accepted Accounting Principles); e.g., revenue = price*(products sold), service cost = (Cost per service)*(Number of services), or numbers of spare parts sold. Why not do nonparametric reliability estimation, with or without lifetime data?
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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.
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.
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One way to create a robust product or system is to consider all the stresses and design to withstand those stresses. We often do not know all the stresses, magnitudes, and ranges of variation. We know that many materials degrade with time, yet we do not know precisely how much or how fast. We also do not know what new stresses may arise or how stresses will change over time.
