Your Reliability Engineering Professional Development Site
Kirk and Fred discussing the issue of long term reliability, intrinsic wear-out, and the rapid improvement of new features and benefits that motivate retirement of older devices such as in smartphones.
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In asset management, the organizations have a lot to do. They can’t go about making intelligent decisions every time without the help of team leaders and their engineering team. They are the ones who have to find the balance between performance cost, risks, and ROI. If they make good decisions, the organization’s top-level management will be able to focus on other things. They will be able to make sure that all the resources are provided for. The training, coaching, and implementation processes are going the way they are supposed to. This is where Asset Effectiveness model comes in handy.
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On this week’s episode, I welcome Sanya Mathura back on the podcast to take a deeper dive into lubrication and oil analysis. I hope you enjoy more detail and if you want even more depth on lubrication, let Sanya or I know on LinkedIn.
Check out Strategic Reliability Solutions atwww.strategicreliabilitysolutions.com
Follow Sanya Mathura on LinkedIn at:www.linkedin.com/in/sanya-mathura-362438129/
Follow Rob Kalwarowsky on LinkedIn at:www.linkedin.com/in/robert-kalwarowsky-p-eng-03a43552/
For any questions, inquiries or if you’d like to appear on the podcast, email Rob at robsreliabilityproject@gmail.com
Kirk and Fred discussing the long, ever-impending death of the outdated reliability prediction handbook and its progeny.
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Carl and Fred discussing the importance of understanding and applying failure mechanisms in achieving high reliability.
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Every system in the world, no matter how complex, is designed on an algorithm. All the systems use the same basic principles of mathematics. When there is a failure in a system, there’s a logical explanation for its occurrence. Every engineering principles that vendors follow to build the machines and every calculative functionality they add to it so that it will work the way it is is based on mathematics. That’s why it is very important to have strong mathematical foundation in a reliability-oriented organization.
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George Williams and Joe Anderson are back on to discuss the IIoT and what’s right in reliability. This is a follow up to our discussion last time about what’s wrong in reliability.
Follow George Williams on Twitter @ReliabilityX
Follow Joe Anderson on Twitter @JoeReliabilityX
Follow Captain Unreliability on Twitter @CUnreliability
Connect with Robert Kalwarowsky on LinkedIn atwww.linkedin.com/in/robert-kalwarowsky-p-eng-03a43552/
For any questions or inquiries emailrobsreliabilityproject@gmail.com
Carl and Fred discussing to talk with management about the subject of reliability.
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Adam and Carl discussing the use of Parameter Diagrams in a Design for Reliability program.
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Predictive maintenance is the backbone of reliability and maintenance industry. This is why every organization tends to use tools that can help them foresee the possible failures ahead of time and take preemptive measures. No matter how much you spend on building a sustainable program, there are always deficiencies left somewhere. You have to know at every stage what these deficiencies are to successfully get where you want to go exactly. This is where Reliability Growth Analysis (RGA) (or Crow-AMSAA, as oftentimes referred to) helps you with its wide applications. When you have a specific problem, focusing on a single failure mode, and have all the data related to it, it is good to use Weibull Analysis.
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In this week’s episode, I welcome reliability leader Paul Crocker to the podcast to discuss his asset management policy, his mindset and the work he’s done in lubrication at the Kansas Board of Public Utilities Nearman Water Treatment Plant.
Join Paul Crocker at the Kansas City SMRP chapter:www.kcsmrp.org/
Follow Paul Crocker on LinkedIn:www.linkedin.com/in/pcrockerkck/
Follow Rob Kalwarowsky on LinkedIn:www.linkedin.com/in/robert-kalwarowsky-p-eng-03a43552/
For any questions or business inquiries, emailrobsreliabilityproject@gmail.com
Adam and Carl discussing the challenges of incorporating reliability methods into aggressive product development programs.
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Adam and Fred discussing how reliability engineers think
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When organizations feel the need to run their sites in a better and informed way, they tend to purchase different software that will help them get the answers they need. What they don’t realize is that software is only as good as the people using it. When you don’t have data input to the system, the output is most likely to be inaccurate. You can purchase a CMMS or any other reliability software but if you don’t know what it is that you want from the software, it is no good to anyone.
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On this week’s episode, I welcome Bob Latino on to discuss Root Cause Analysis (RCA) and we dive into why opportunity analysis are so important to shift our mindset to a proactive approach.
Follow Bob Latino on LinkedIn: www.linkedin.com/in/robert-bob-latino-3411097/
Follow Rob Kalwarowsky on LinkedIn:www.linkedin.com/in/robert-kalwarowsky-p-eng-03a43552/
For any business inquiries or questions for the show, emailrobsreliabilityproject@gmail.com
