Decline of Quality

Abstract

Greg and Fred discuss the future of quality and reliability professions.  The average age of the quality professional is getting older.  Fewer people are entering the prof…

Practice Data Sets

Abstract

Chris and Fred discuss the ability to get ‘data sets’ to practice reliability analysis on! … sounds like a party …

Key Points

Join Chris and Fred respond to a listener wh…

The 1,000th Episode

Abstract

Kirk and Fred and a long-time listener, Nik Sharpe, discuss the long history of doing this podcast from the first Speaking of Reliability podcast SOR #1, “Can you pass HA…

Product Life Time

Abstract

Chris and Fred discuss how long stuff lasts! … or how long something should last! … how do you ‘know’ what it should be?

Key Points

Join Chris and Fred as they respond to …

Reliability and Politics

Abstract

Chris and Fred discuss how reliability can sometimes be linked to politics (… at least in some way). Is this an experience you share?

Key Points

Join Chris and Fred…

Preparing to Interview

Abstract

Chris and Fred discuss how to make a good impression when interviewing for a reliability engineering position. How do you prepare?

Key Points

Join Chris and Fred as t…

FMEA and Hazard Analysis

Abstract

Carl and Fred discuss a reader question about FMEA and Hazard Analysis and whether or not they can be combined into a single analysis.

Key Points

Join Carl and Fred…

Hidden Reliability

Abstract

Carl and Fred discuss the challenges of hidden reliability problems, especially issues that are certain to occur, but not easily observed. When failures are invisible or h…

Introducing Risk Management Plan

Abstract

Greg and Fred discuss why risk is becoming a personal issue to home owners and to all of us.  They discuss aging infrastructure risk, who pays, and how to mi…

What Happened to Quality?

Abstract

Greg and Fred discuss quality from engineering and quality points of view.  Greg is developing AI engineering applications.  Greg wants to build, ship, and monetize…

Past Good and Bad Knowledge

Abstract

Chris and Fred discuss the so-called ‘bedrock documents and statistics’ that are used over and over again as if they are universally correct – even though they …

What is MLE?

Abstract

Chris and Fred discuss the three-letter acronym ‘MLE’ stands for? Well, it stands for ‘maximum likelihood estimate.’ Ever heard of it? Do you know what it means?

Key Points

Joi…

Impact of IoT on Maintenance

Abstract

Kirk and Fred discuss the impact of the Internet of Things (IoT) on maintenance and the data feedback to the manufacturer on usage and failure data.

Key Points

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No Trouble Found Issue

Abstract

Kirk and Fred delve into the crucial topic of managing returned parts and products, even those that are functioning perfectly.

Key Points

Join Kirk and Fred as they d…

Difference Between Quality and Reliability Statistics

Abstract

Philip and Fred discuss some of the basic differences and similarities between these two types of statistical toolsets.

Key Points

Join…

Dealing with Missing Data

Abstract

Philip and Fred discuss a few challenges and approaches to deal with missing data.

Key Points

Join Philip and Fred as they discuss what can be done when a dataset …

Pushing the Limits

Abstract

Greg and Fred discuss pushing the limits for personal and professional development.  Greg discusses wearing a pink tutu to Oregon Country Faire and Burning Man.  Fred disc…

Pursuing Ribbons

Abstract

Greg and Fred discuss the importance of the pursuit of ribbons.  What are ribbons?  They are the  badges, degrees, brands, and certificates that we all strive for.   They co…

Instead of Reliability Prediction

Abstract

Chris and Fred discuss reliability prediction and how it can relate to the ‘design’ phase when there is no data. How do you ‘predict reliability?’

Key Poin…

Good Reliability Testing

Abstract

Chris and Fred discuss the difference between good and poor reliability testing.

Key Points

Join Chris and Fred as they discuss what makes a meaningful and valuable…