Your Reliability Engineering Professional Development Site
A listing in reverse chronological order of these article series:
In the realm of industrial operations, a culture of reliability isn’t just a preference; it’s a necessity. It’s the bedrock of efficiency, safety, and sustainability, providing the fertile ground for organizations to thrive and adapt in an ever-evolving world. In this blog, we will explore the methods and principles that guide the development of a reliability culture, the essence of operational excellence.
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Overhauling equipment is expected to bring it to an “as good as new” state. But is this really the case in reality? Equipment will deteriorate over time and progressively lose its ability to function. No matter how extensive the overhaul, the equipment will unlikely be up to the level of “newness” as when it rolled out of the assembly line. Sure, if you have this vintage automobile from the 1930s, and spend an absolute fortune on its overhaul, it might come close to being new again. But somewhere in the structure of this automobile, there will an element that is “as good as old” and vulnerable to imminent failure. Also remember that this vintage automobile is not out there generating revenue. There is no accountant running after you with regards to budget constraints or revenue increases. Where there is passion, cost might not matter.
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A risk management risk matrix can trick you into leaving high consequences uncontrolled and convince you it is fine to do nothing to reduce the impacts of failure. Whether you think a bad event cannot happen has no standing in Law. The likelihood of an adverse event is unimportant; only the resultant severity is how the Law will gauge your risk abatement efforts. Did you do ‘reasonably practicable’ risk control?
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False. Nearly all organizations do not have adequate historical data found in databases to successfully carry out an RCM analysis.
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Accelerated life tests are used to help predict the rate of failure of components. Capacitors are frequent victims of accelerated life testing, and have a distant relationship with one of the earliest documented accelerated life tests: the unit of capacitance, the farad, is named for Sir Michael Faraday.
Michael Faraday remains one of the most important scientists of all time. He made foundational discoveries in electricity, magnetism, and electrochemistry. Today, Faraday is less well known for documenting the Royal Navy’s results of accelerated life tests on dry rot of wood.
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The Plant and Equipment Wellness Way was designed to quickly create Operational Excellence success. You can only get the Plant Wellness Way from LRS Operational Excellence Consultants.
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Managing assets to make them deliver the products and services we need now and in the future is the essential purpose of Asset Management. However, Asset Management is more about obtaining value from assets than what you do to the assets. It is about utilizing assets to deliver value to your organization while attaining corporate goals. Human capital is an essential element of the whole asset management process from strategy to operation.
[Read more…]Credibility, often described as the currency of trust, is a quality that sets the foundation for professional success. It’s the attribute that influences how others perceive your competence, reliability, and integrity. Whether you’re an individual striving to advance your career or a business aiming to gain the trust of your clients, credibility is your guiding star. In this blog, we’ll delve into the methods of developing and enhancing credibility to help you stand out in your professional journey.
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Maintenance and Reliability practitioners often need to find quick methods to estimate life distributions in order to get some urgent answers to a customer. The tempting solution and easy way out to this is to refer to a handbook or publication out there. Also known as “Reliability Data” handbooks. These publications would have “ready to go” life distributions. However, this can come with multiple pitfalls listed as follows.
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A certain Operations Manager started inventing production KPIs in order to measure reliability from a production perspective. So he got together his colleagues and they came up with this formula.
Reliability = Good Production / (Net Production Hours + Nominal Speed)
When asked to define ‘good production’, I was told that it was the saleable production remaining after losses such as speed losses, first time quality, downtime, change overs, etc. were taken off.
After 3 years of running TPM (Total Productive Maintenance) across 3 factories, they made the following observations. The mean time between failure (MTBF) of equipment in all 3 factories increased. The production volumes increased. However the Reliability remained flat. How can this be? Something is not right. Is the above formula incorrect?
Is there a better way to calculate Reliability from a production perspective?
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Maybe. Great care must be taken if any kind of template of failure mode library is used to complete an RCM analysis.
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Barringer Process Reliability (BPR) was developed by Paul H. Barringer, a fellow reliability engineer “extraordinaire” and an outstanding mentor for myself and countless others in this field of practice. BPR highlights operational issues. Not addressed and mitigated, those could have significant revenue impacts. A BPR analysis uses the Weibull probability plot which happens to be a very well-known tool in the field of Reliability Engineering. On one side of a sheet of paper only, the BPR plot can tell the true “story” on the operation.
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James Reyes-Picknell
Despite its well-documented successes, Reliability Centered Maintenance (RCM) has always drawn a lot of discussion and controversy. Much of it is because of a lack of understanding and “myths” generated to discredit RCM as a viable business solution. Here we attempt to fill in some of those gaps in understanding and debunk some of the myths.
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To help select which work orders to do first in situations of resource shortage many CMMS provide calculations for maintenance work order priority. Deciding maintenance work priority is a risk decision. The presence of risk totally changes the way to allocate maintenance job priority if you want to compare situations equally1. When you work with risk you cannot use a linear priority scale. Using linear priority ranking gives the wrong order of importance for doing maintenance work.
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In a previous article we covered how to perform a detailed Weibull Analysis in Excel. The outputs from a Weibull analysis are important because we can use them for a variety of Reliability calculations such as when to most economically maintain assets.
A common mistake we see made is Reliability Engineers determining the optimal maintenance interval as the MTBF. This is incorrect as it assumes that you will have failed approximately 50-60% of the components before you have maintenance performed on them. (Sounds ridiculous when you say it that way right!?)
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