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Greg and Fred discuss ways to detect and monitor changes in a system. So, what is the trigger to indicate an event, threat, or anomaly that can result in a risk. This becomes critical if you want to focus on the critical few NOT the insignificant many.
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Enrico and Fred discuss various approaches to allocation.
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Chris and Fred discuss how we assess product feasibility … at the concept stage! Great topic.
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Chris and Fred discuss what equations (if any) exist for setting and optimizing reliability goals … sometimes trading off against other goals. Wo …
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Chris and Fred discuss customer requirements when it comes to reliability. How do we get this wrong?
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Chris and Fred discuss how bearings fail. Bearings are among the most common components used in products and systems. So, how do they go wrong?
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Greg and Fred discuss the importance of key metrics, whether KPI’s or OKR’s, to determine the quality of decision making.
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Enrico and Fred discuss a few approaches that may be effective when communication complex topics to others.
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Greg and Fred discuss what happens when a company doesn’t have the engineering knowledge, skills, and abilities to design things. Why? Companies don’t make commodity stuff any more. They outsource these items. The challenge of outsourcing often means outsourcing engineering expertise. Big problem. So what are the solutions?
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Kirk and Fred discuss the new options for doing technical research, including Google Scholar and AI tools like ChatGPT ᐅ Play Episode
Greg and Fred discuss how AI is changing work, careers, and jobs. Last week, Fiverr CEO warned staff: ‘AI is coming for your jobs, including mine!’ So what does this really mean for reliability and quality professionals? And importantly, what can you do about it? ᐅ Play Episode
Chris and Fred discuss talk about how to ‘rank’ reliability engineering books that are actually based on helpfulness (and perhaps not an algorithm).
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Chris and Fred discuss the psychology behind (bad) reliability decisions. Humans run (and ruin) everything!
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Greg and Fred discuss risk management tools specifically the advantages and disadvantages of using color -coded risk matrices.
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