Your Reliability Engineering Professional Development Site
Carl and Fred discuss the subject of key product characteristics, why they are important, and how to identify and use them to improve reliability.
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Tim and Fred discuss the feedback loop that connects field performance to the production processes at the supplier, and how advanced sensing technology provides more data to all parties, but doesn’t necessarily lead to greater knowledge or improved reliability.
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When it comes to reliability modeling, there are a lot of variables involved that you need to look at before you go into the design phase. It is not possible for a human mind to make all these statistical calculations and run analysis—varying from simple to complex data analysis. That is where a reliability modeling software is needed. Now there are a lot of software available in the market for different purposes but you need to be clear about your needs first. The software assists you by running simulations based on different models.
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Tim and Fred discuss some of the strategies used by companies to enlist the support of their suppliers to address quality problems and generally improve product reliability.
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Adam and Fred discussing the dilemma of too much data in an organization and not enough for reliability work.
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Tim interviews Chris concerning the academic work concerning decision making being built into autonomous vehicles. [Read more…]
Intro: Welcome to the E6S-Methods Lean Six Sigma Performance podcast with Jacob and Aaron, your weekly dose of tips and tricks to achieve excellent performance in your business and career. Join us as we explore deeper into the practical worlds of Lean, Six Sigma, Project Management and Design Thinking. In this episode number 181, we speak with reliability expert, Fred Schenkelberg, and get his take on the day in the life of a reliability engineer. [Read more…]
Ever wonder why your assets aren’t producing the value they are supposed to even if you have trained staff and big budgets? Are you a fan of Predictive maintenance improvement of your organizational processes? Then, condition monitoring is where you should start. The meaning of this word is as simple as the word itself. You just need to check the state of your asset on a regular basis and as the state of your asset change, you would know what possible failures that change can lead to and then you can try predictive maintenance strategies to stop that failure from occurring in the first place.
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Adam and Fred discussing the benefits of treating failures as nuggets of wonderful information.
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Kirk and Fred discussing the recent article Kirk and comments posted on LinkedIn regarding the estimated maintenance costs required for the F-35 Fighter Jet.
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The presence of women in different industries is a growing fact that cannot be denied. They are now involved in fields—from management to engineering—that were considered solely to be men’s and they are doing these jobs incredibly and competently. There are a very few platforms that emphasize on empowering the women and providing them with content that they need to get better at their jobs and be a valuable asset to the organizations they work for. Still, there is a large number of women who are making transitions to more technical jobs and WiRAM is one of those platforms where women can get the educational content and training they need to handle the asset management work and get ahead in the reliability and maintenance industry.
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Kirk and Fred discussing the issue of derating components to increase the reliability of the larger system. Although Fred and Kirk agree on most reliability topics, derating by the traditional reliability guidebooks is not one of them.
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A tool is only as useful as knowing when and how to use it. In this webinar, we will discuss identifying an appropriate DOE project and setting up (define) a DOE. A process for DOE execution will be provided and discussed. We will also provide the thought processes to know when a DOE application is present. [Read more…]
James and Fred discussing how factory equipment automation can create large amounts of data that may or may not be useful.
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Fred interviews Larry Leemis about his teaching, work, and recent book on R software.