Finding Your Nemesis
Abstract
Adam and Fred discussing how to identify opposing forces on the team and finding common ground to move on together
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SOR 354 Finding Your Nemesis
SOR 353 The Value of Reliability Data
The Value of Reliability Data
Abstract
Adam and Fred discussing the challenges of acquiring reliability data and it’s value to a program
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123 – World Class Lubrication with Robert Kalwarowsky
World Class Lubrication with Robert Kalwarowsky
In a previous episode with our guest speaker Heinz Bloch, we covered how certain organizations were able to achieve best-in-class reliability programs. In this podcast episode, we’ll dig into what makes for a world-class lubrication program. Truth be told, only a very few organizations achieved and are implementing world-class lubrication programs. Obviously, there are certain best practices that they do that others don’t.
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RRP 017 Merging AI with Failure Modes with Mark Benak
RRP 017 Merging AI with Failure Modes with Mark Benak
This week, I welcome Mark Benak on to the podcast. Mark is the VP of Business Ventures at Uptake. We talk about why merging a library of failure modes with artificial intelligence makes stronger predictive analytics.
Follow Mark Benak on LinkedIn –www.linkedin.com/in/mbenak/
Follow Rob Kalwarowsky on LinkedIn –www.linkedin.com/in/robert-kalwarowsky-p-eng-03a43552/
For any questions, business inquiries or if you’d like to appear on the show, email robsreliabilityproject@gmail.com
SOR 352 Management and MTBF
Management and MTBF
Abstract
Chris and Fred discuss how management teams across many institutions continue to misuse the MTBF while believing they are fluent in the field of reliability (when they clearly aren’t)!
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SOR 351 Is There a Short Reliability Design Problem?
Is There a Short Reliability Design Problem?
Abstract
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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122 – Asset Effectiveness Model with Paul Daoust
Asset Effectiveness Model with Paul Daoust
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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RRP 016 Lubrication Deep Dive with Sanya Mathura
RRP 016 Lubrication Deep Dive with Sanya Mathura
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
SOR 350 The Death of Military Handbook 217
The Death of Military Handbook 217
Abstract
Kirk and Fred discussing the long, ever-impending death of the outdated reliability prediction handbook and its progeny.
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SOR 349 Deeper Dive into Failure Mechanisms
Deeper Dive into Failure Mechanisms
Abstract
Carl and Fred discussing the importance of understanding and applying failure mechanisms in achieving high reliability.
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121 – Starting with Mathematical Foundations with Fred Schenkelberg
Starting with Mathematical Foundations with Fred Schenkelberg
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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RRP 015 The IIoT and What’s Right in Reliability
RRP 015 The IIoT and What’s Right in Reliability
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
SOR 348 Speaking Reliability with Management
Speaking Reliability with Management
Abstract
Carl and Fred discussing to talk with management about the subject of reliability.
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SOR 347 Parameter Diagrams and Design for Reliability
Parameter Diagrams and Design for Reliability
Abstract
Adam and Carl discussing the use of Parameter Diagrams in a Design for Reliability program.
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120 – What is the Difference between RGA and Weibull with Fred Schenkelberg
What is the Difference between RGA and Weibull with Fred Schenkelberg
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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