Accendo Reliability Webinar Series

How to Take the Guess Work out of Expert Judgment podcast episode with speaker Chris Jackson Most humans can be quite technically minded. And sometimes we aren't. Sometimes, we expect every drug or medical procedure to be checked, approved, validated, and tested on other people (et cetera) before subjecting ourselves to whatever our doctor suggests. At other times, we spend lots of money at casinos (note that I said spend' and not invest' or win'). When it comes to reliability, we can sometimes be too technically minded. A reliability number' might not exist until our product has undergone exhaustive testing. Which can often be two years too late to do anything about if it turns out it doesn't meet all our reliability dreams. So what can we do? Well why spend money trying to generate information (through lengthy tests) when you can use the information stored in everyone's brain? The most common answer (even if we don't want to admit it) is that this sounds like guesswork. And guesswork can sound unprofessional. Or it’s just wrong. But there are ways you can suck out information from a group of experts in a quantifiable and remarkably accurate way. Want to learn more? This webinar introduces you to some of the concepts that might interest you. This Accendo Reliability webinar was originally broadcast on 24 May 2022. Download RSS To view the event’s recorded video/audio and PDF workbook, visit the webinar page.     Related Content What is Your Approach episode What Could Go Wrong episode Strength-Stress with Limited Information episode Incomplete Data episode Is Testing The Only Way to Confirm Reliability episode Collecting and Analyzing Your Field Data Let's explore where the data comes from and how to prepare for analysis. Plus, let's discuss some ways to look at your data initially. See More Time to Failure Data Analysis for Your Factory Equipment For repairable items, the mean cumulative function and associated plots provide you with an estimate of the effectiveness of your repairs. See More Reliability Data We will discuss the pros and cons of various sources. Plus, let's examine a few ways to use simulations or models. See More Fundamentals of Weibull Analysis The Weibull distribution is a versatile tool to analyze time to failure data. Like any tool, it could be wielded well or not so well. See More Fundamentals of Field Data Analysis The design is done, the assembly process is working, now we can focus on answering the question: is the product hitting reliability targets? See More Weibull Probability Plotting Data is only as useful as the information you derive. So would you like to take your Weibull probability plotting skills to the next level? See More Overview of Life Testing in Minitab Minitab itself has many reliability functions available; this presentation covers the basics, including distributions, censoring, and fitting. See More The Survivorship Bias Principal This webinar examines an important perspective. Its' so simple and has made many heroes in the data analysis world since Abraham Ward. See More So what is up with this Bayesian' analysis stuff Some of you may have heard of Bayesian analysis.' You may think this is something fancy that only universities do. See More Reliability Analysis … now what? Part 2 Let's take a closer look at the concept of likelihood and it's role in an MCMC analysis. A powerful tool for data analysis. See More Reliability Analysis … now what? Part 3 This webinar is about how we use this thing called Markov Chain Monte Carlo Simulation (MCMC) to create this posse.' See More Reliability Analysis … now what? Part 4 We show you how to get your computer to help you give useful reliability information to your boss, manager, director, or whoever. See More Fundamentals of Interpreting Test Results To create test results that are meaningful, we need to both design and execute the test well, then, interpret the results accurately. See More How to Take the Guess Work out of Expert Judgment there are ways you can suck out information from a group of experts in a quantifiable and remarkably accurate way. See More What do you see in a ‘Probability’ Plot? A Weibull plot is a really useful way of quickly looking' at data and being able to see' really useful things. See More What is WeiBayes Analysis? WeiBayes is useful, and there are quite a few catches. Interested in learning about Weibayes analysis? Join us for this webinar. See More Using Monte Carlo Simulation Sometimes the equations we need to model reliability are just so complicated that we simply avoid them. Let's use Monte Carlo instead. See More What is Weibull Probability Plotting? See More The post How to Take the Guess Work out of Expert Judgment appeared first on Accendo Reliability.

How to Check a Regression Fit podcast episode with speaker Fred Schenkelberg When fitting a line or curve to data, it's a model. When modeling, it is worth remembering the George Box quote, Essentially all models are wrong, but some are useful. Yet, how do we separate a useful model from one that isn't useful? One step in finding a helpful regression model is to consider the residuals. BTW: Weibull analysis is another term for regression analysis. Residuals in regression analysis are the differences between the data and the model-predicted values. When the regression fits' the data, the residuals should represent the naturally occurring experimental (measurement) errors. These should be well-behaved differences that tend to fit a normal distribution centered on zero. Let's explore what residuals are, where they come from, and how to evaluate them to detect whether the fitted line (model) is adequate. Not checking or using a poor model is a recipe for major errors when making decisions. Checking residuals is one step to validating a model, yet it's quick and easy to accomplish. This Accendo Reliability webinar was originally broadcast on 10 May 2022. Download RSS To view the recorded video, visit the webinar page. Related Content Regression Metrics episode How do I Control a Process That Trends Naturally Due to Tool Wear? article Are You a Keyboard Jockey? article Reliability Engineering Statistics course Starting with Mathematical Foundations with Fred Schenkelberg episode Making Use of Reliability Statistics Let's find the motivation to use reliability statistics and find the resources to learn the statistical tools necessary to succeed. See More R Software and Reliability Let's explore R software's many capabilities concerning reliability statistics from field data analysis, to statistical process control. See More Reliability Distributions and Their Use Let's explore an array of distributions and the problems they can help solve in our day-to-day relaibility engineering work. See More Practical Application of DOE Perry discusses the basics of DOE (design of experiments) and fundamentals so you can get started with they useful product development tool. See More Fundamentals of Sample Size Determination Let's discuss the 6 basic considerations to estimate the necessary sample size to support decision making. See More Fundamentals of Measurement System Analysis When we make a measurement, we inform a decision. It's important to have data that is true to the actual value. See More Creating Effective Reliability Graphics One of the first things I learned about data analysis was to create a plot, another, and another. Let the data show you what needs attention. See More PDFs, CDFs, and other ‘Fs’ What the hell are they? If you want a really easy introduction or review of these functions that help inform a decision then check out this webinar. See More Discrete Distributions Sometimes we have to work out how many of them we need (if they make up a fleet) or how many spare parts we need to keep them running. See More Why We Use Statistics Let's explore the ways we use, or should use, statistics as engineers. From gathering data to presenting, from analyzing to comparing. See More How to Check a Regression Fit Let's explore what residuals are, where they come from, and how to evaluate them to detect if the fitted line (model) is adequate or not. See More Basic Mathematical Symbols and Stuff This webinar is a light (re)introduction into common mathematical symbols used in many engineering scenarios including reliability. See More Confidence in Reliability Reliability is a measure of your product or system. Confidence is a measure of you. But we often forget this. See More Practical Measurement Systems Analysis for Design How to calculate Gage discrimination - the more useful result for a design situation, and even how to use it for destructive tests. See More What is the Weibull Distribution? For those who conduct reliability data analysis or turning a jumble of dots (data points) into meaningful information See More Where does the Bell Curve come from? It is not just a pretty shape' that seems to work, It comes from a really cool physical phenomena that we find everywhere. See More Fundamentals of Hypothesis Testing Let's examine a handful of parametric and non-parametric comparison tools, including various hypothesis tests. See More Understanding (how bad) the Exponential Distribution (is) You need to have a good idea of the probability distribution of the TTF of your product when it comes to reliability engineering. See More What is the ‘3 Parameter’ Weibull Analysis See More What is the Lognormal Distribution See More Confidence is a Measure of You See More The post How to Check a Regression Fit appeared first on Accendo Reliability.

What is Reliability Growth? podcast episode with speaker Chris Jackson Sounds simple, right? And it is. Reliability growth literally refers to a process where we improve the reliability of a product, system, or service. But sometimes we find ourselves in situations where it is expected that not only do we understand reliability growth but measure it. And predict how much it will grow in the future. This is sometimes called Reliability Growth Testing (RGT), Reliability Growth Planning (RGP), or Reliability Growth Prediction. And there are lots of equations and models for all these things. But do these models actually model the real world?' can they work for you? SHOULD they work for you? This webinar introduces you to the topic of reliability growth (both qualitative and quantitative) along with key concepts (like the Duane Failure Pattern) to help you work out if there is (or is not) a place for reliability growth in your organization. This Accendo Reliability webinar was originally broadcast on 19 April 2022. Download RSS To view the recorded video/audio and PDF workbook of the event visit the webinar page.   Related Content Reliability Growth episode Implementing System Reliability Growth episode Reliability and Tolerance Analysis Tolerance specification communicates the allowance for part variation. Variation happens, and when it is within what we expect, great. See More Creating Meaningful Reliability Predictions Early and often during product development, the team needs to know the expected and meaningful reliability prediction of the current design. See More Reliability Integration into the Product Development Process One of the challenges for reliability engineering in product development is reliability integration into the product development process. See More Process Capability, Tolerance, and Reliability How a focus on variability with process control, process capability and tolerances helps to improve reliability. See More Fundamentals of Stress-Strength Analysis How a focus on variability with process control, process capability and tolerances helps to improve reliability. See More Fundamentals of Human Factors If a person is not able to interact with your product, with or without the manual, they may consider your product a failure. See More Using Available Weather Data How to find and analyze temperature readings over a 10 year period, create histogram and determine how many hours below freezing may exist. See More Fundamentals of Tolerance Analysis There are three approaches to set tolerance limits. Each has ramifications for the eventual manufacturability and reliability performance. See More Practical Use of Stress-Strength Models to Develop Specifications Warranty returns are a great start for setting targets for new products. But how do you translate that to specific numbers to design to? See More Fundamentals of Design for Reliability DFR is more than a set of tools or activities, let's explore the building of a reliability culture that support reliability thinking See More Fault Tolerance Fault tolerant design principles are the best approach to reliability. Or not. It depends on your design challenges. See More Helping Products Survive Transportation Besides building your product inside your customer's facility, your product requires transportation to move your product. See More What is Reliability Growth? This webinar introduces you to the topic of reliability growth (both qualitative and quantitative) along with key concepts See More Design for Reliability – Stressors I will discuss the identification of conditions that cause materials to degrade. Understanding stressors is good for design for reliability See More Fundamentals of Derating See More The post What is Reliability Growth? appeared first on Accendo Reliability.

Reliability and Safety podcast episode with speaker Fred Schenkelberg Is a reliable product safer? Are the safety elements of a product or system independent of its reliability performance? These and other questions speak to the complex relationship between reliability and safety. Let's explore the overlap and differences between a safe and a reliable product or system. Concepts like fail-safe and severity indicate part of the overlap. If a safety feature of a system fails, is that a safety or a reliability problem? It appears I have plenty of questions related to the safety and reliability relationship, yet I suspect that if the goal is to meet customer and business objectives, then creating a safe and reliable system is a complementary endeavor. This Accendo Reliability webinar was originally broadcast on 12 April 2022. Download RSS To view the recorded video visit the webinar page. A few links provided by Carl DuPoldt during the live event: Law of Unintended Consequences (PDF) Definition of Reasonably Practical link – Australian government guideline Calculating Factors of Safety and Margins of Safety From Interaction Equations (PDF from NASA) Insurance Rating Variables – What they are and why they matter (pdf) Related Content Reliability and Safety article Regulation Reducing Safety episode Inherent Safety = Lower Risks? article Safety & Systems Engineering episode Decisions and Safety episode Fundamentals of Hazard Analysis Let's discuss the basic definition(s) of hazard analysis, and review the basic approach to accomplish the analysis. See More Reliability and Safety Let's explore the overlap and differences between a safe and a reliable product or system, plus how reliability contributes to safety. See More Fundamentals of Safety Margins Let's examine safety margins and why they are one method to design robust products that also improve product reliability performance. See More The post Reliability and Safety appeared first on Accendo Reliability.

What is Process Capability Analysis (PCA)? podcast episode with speaker Chris Jackson A capable' process is a really weak term for what we are dealing with here. In short, a process is considered capable' if it creates products that, in spite of all the unavoidable natural variation in production, still fall within the boundaries of what good' looks like. Perhaps instead of capable', we should say amazing'! A capable' process will essentially create products that have a very, very small chance of being defective. So how do we get here? SPC can help. But how do we measure how capable' our process is? And can we use this measurement to (for example) work out how many Parts Per Million (PPM) defects you are likely to get? This webinar introduces you to the concept of process capability, including well-known indices like CPK, along with what this means for your process. This Accendo Reliability webinar was originally broadcast on 22 March 2022. Download RSS To view the recorded video/audio and PDF workbook of the event visit the webinar page.   Related Content Process Capability Article Links article Process Capability Analysis I Overview and Indices article The Design and the Supplier's Capability episode Basic Approach to Achieve Process Stability article Process Capability article   SPC Sample Size Impact on SPC In this webinar, we explore the impact that chart selection and sample size have on chart sensitivity (the ability to detect changes). See More Reliability and Statistical Process Control Let's explore some cases where effectively using statistical process control will enhance your product's reliability performance. See More Understanding and Controlling Process Variation Let's discuss process variation and how to measure, monitor, and control processes to minimize the differences from one part to the next. See More 10 Keys for Maximizing the Benefits of Your SPC Program Progressive manufacturers use control charts to listen to their processes to detect and rectify potentially harmful changes. See More How do I link Process Capability Indices to Number (PPM) Defects? if you need to learn a bit more about manufacturing and how we measure quality in general? Join us for this webinar. See More What is Statistical Process Control or SPC? You may have heard of Statistical Process Control, 6-sigma, Shewhart, the Japanese Economic Miracle, X̅ R Charts or perhaps none of them. See More What is Process Capability Analysis (PCA)? A process is considered capable' if it creates products that, with production natural variation, are still within what good' looks like. See More Fundamentals of Control Charts Statistical control charting (SPC) is a method for monitoring and determining whether a process is in control or stable. See More Fundamentals of Process Capability Let's explore the steps necessary to obtain valid and valuable process capability ratios. Then, let's examine how to use this information. See More The post What is Process Capability Analysis (PCA)? appeared first on Accendo Reliability.

Reliability and Quality podcast episode with speaker Fred Schenkelberg Some of my best friends are quality people. This is despite the notion that reliability is just one of many quality factors, while I suggest reliability is all of quality and over time. There are a lot of similarities and common objectives with quality and reliability efforts. Plus, there are a few differences. Let's discuss how quality and reliability overlap and rely on each other’s capabilities, plus where we differ. The idea as a reliability engineer is to leverage and use the best of all the other engineering fields, including quality, to achieve a reliable product for the customer. So, how do we best go about working together? This Accendo Reliability webinar was originally broadcast on 8 March 2022. Download RSS To view the recorded video and PDF of slides, visit the webinar page. Related Content Quality Is Expectation episode JiuJitsu Style Quality episode The Strategic Gamechanger: Quality during (Product) Design episode Creating a Culture of Innovation with Quality and Reliability episode Diet Fads and Quality Initiatives Two of a Kind episode 7+ Basic Quality Tools Having both awareness and mastery of these tools will enable you to quickly use basic tools to get a handle on the situation. See More Reliability and Quality Let's talk about how quality and reliability overlap and rely on each other's set of capabilities, plus where we differ. See More Fundamentals of Pareto Analysis Let's explore the basics of conducting Pareto Analysis, plus a few different ways to create and modify the plots. See More The post Reliability and Quality appeared first on Accendo Reliability.

What is Statistical Process Control or SPC? podcast episode with speaker Chris Jackson You may have heard of Statistical Process Control (SPC), 6-sigma, Shewhart, the Japanese Economic Miracle, X̅ R Charts or perhaps none of them. So, if you have heard of these things (and are confused by them) or if you are involved in processes' (especially manufacturing), then this webinar might help you out. SPC can help you work out if your process (whatever that might be) is behaving.' Which means it isn't doing anything that YOU don't EXPECT. And to know what to EXPECT, you need to UNDERSTAND your process. So even if your process starts off doing what you WANT if you don't UNDERSTAND it, then it won't be long before it meanders outside your definition of what is good.' The heart of SPC starts with finding out the precise moment your process starts behaving UNEXPECTEDLY. This hopefully gives you plenty of stress-free time to come up with really clever solutions well before you create batch upon batch of defective components (or something similar). This webinar gives you an introduction to SPC, hopefully making you want to learn more. This Accendo Reliability webinar was originally broadcast on 22 February 2022. Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content Design Specs vs. Process Control, Capability, and SPC episode A slew of articles or tutorials on SPC and Process Capability When should SPC be used? article SPC Average and Range Charts article SPC Assumptions article SPC Sample Size Impact on SPC In this webinar, we explore the impact that chart selection and sample size have on chart sensitivity (the ability to detect changes). See More Reliability and Statistical Process Control Let's explore some cases where effectively using statistical process control will enhance your product's reliability performance. See More Understanding and Controlling Process Variation Let's discuss process variation and how to measure, monitor, and control processes to minimize the differences from one part to the next. See More 10 Keys for Maximizing the Benefits of Your SPC Program Progressive manufacturers use control charts to listen to their processes to detect and rectify potentially harmful changes. See More How do I link Process Capability Indices to Number (PPM) Defects? if you need to learn a bit more about manufacturing and how we measure quality in general? Join us for this webinar. See More What is Statistical Process Control or SPC? You may have heard of Statistical Process Control, 6-sigma, Shewhart, the Japanese Economic Miracle, X̅ R Charts or perhaps none of them. See More What is Process Capability Analysis (PCA)? A process is considered capable' if it creates products that, with production natural variation, are still within what good' looks like. See More Fundamentals of Control Charts Statistical control charting (SPC) is a method for monitoring and determining whether a process is in control or stable. See More Fundamentals of Process Capability Let's explore the steps necessary to obtain valid and valuable process capability ratios. Then, let's examine how to use this information. See More The post What is Statistical Process Control or SPC? appeared first on Accendo Reliability.

Why We Use Statistics podcast episode with speaker Fred Schenkelberg You may fondly, or most likely not fondly, remember your undergraduate course on probability and statistics. The calculations of various winning hands with card games were interesting and connected to the early invention' of probability and statistical methods. Yet, the jar with colored beads was rather boring. From drive time to upload speeds, from production output per hour to defects per unit, we are surrounded by things and processes that vary. With most things, there are many factors at play contributing to variation. Those variations and the means to discuss them in a meaningful way are the essence of statistics. Let's explore the many ways we use, or should use, statistics in our engineering role. From gathering data to presenting, from analyzing to comparing, we have a wide range of tools available that probably' (pun intended) will have a significant' (did it again) impact on your ability to make a difference with what you do. This Accendo Reliability webinar was originally broadcast on 8 February 2022. Download RSS To view the recorded video and PDF of slides, visit the webinar page. Related Content The Fundamental Thing to Know from Statistics for Design Engineering episode Reliability and Statistics episode Statistics for Reliability Engineers episode Statistics, Mechanisms, Facilitation episode Practical Way to Learn Statistics episode Making Use of Reliability Statistics Let's find the motivation to use reliability statistics and find the resources to learn the statistical tools necessary to succeed. See More R Software and Reliability Let's explore R software's many capabilities concerning reliability statistics from field data analysis, to statistical process control. See More Reliability Distributions and Their Use Let's explore an array of distributions and the problems they can help solve in our day-to-day relaibility engineering work. See More Practical Application of DOE Perry discusses the basics of DOE (design of experiments) and fundamentals so you can get started with they useful product development tool. See More Fundamentals of Sample Size Determination Let's discuss the 6 basic considerations to estimate the necessary sample size to support decision making. See More Fundamentals of Measurement System Analysis When we make a measurement, we inform a decision. It's important to have data that is true to the actual value. See More Creating Effective Reliability Graphics One of the first things I learned about data analysis was to create a plot, another, and another. Let the data show you what needs attention. See More PDFs, CDFs, and other ‘Fs’ What the hell are they? If you want a really easy introduction or review of these functions that help inform a decision then check out this webinar. See More Discrete Distributions Sometimes we have to work out how many of them we need (if they make up a fleet) or how many spare parts we need to keep them running. See More Why We Use Statistics Let's explore the ways we use, or should use, statistics as engineers. From gathering data to presenting, from analyzing to comparing. See More How to Check a Regression Fit Let's explore what residuals are, where they come from, and how to evaluate them to detect if the fitted line (model) is adequate or not. See More Basic Mathematical Symbols and Stuff This webinar is a light (re)introduction into common mathematical symbols used in many engineering scenarios including reliability. See More Confidence in Reliability Reliability is a measure of your product or system. Confidence is a measure of you. But we often forget this. See More Practical Measurement Systems Analysis for Design How to calculate Gage discrimination - the more useful result for a design situation, and even how to use it for destructive tests. See More What is the Weibull Distribution? For those who conduct reliability data analysis or turning a jumble of dots (data points) into meaningful information See More Where does the Bell Curve come from? It is not just a pretty shape' that seems to work, It comes from a really cool physical phenomena that we find everywhere. See More Fundamentals of Hypothesis Testing Let's examine a handful of parametric and non-parametric comparison tools, including various hypothesis tests. See More Understanding (how bad) the Exponential Distribution (is) You need to have a good idea of the probability distribution of the TTF of your product when it comes to reliability engineering. See More What is the ‘3 Parameter’ Weibull Analysis See More What is the Lognormal Distribution See More Confidence is a Measure of You See More The post Why We Use Statistics appeared first on Accendo Reliability.

Accendo Reliability Mission, Vision, and Business Model podcast episode with speaker Fred Schenkelberg Accendo Reliability has been in the works for about ten years. Counting the various iterations in effect under different names and programs, it has been longer. The idea behind the site is to provide our community with great content to help you solve problems, learn, and improve. A close second concept is to provide a platform to help you share your knowledge. Accendo Reliability is not a trade magazine nor a professional society, so what is it exactly? Let's explore the evolution of the site's mission, the intended future of the site, and the details behind the site’s business model. I'm looking forward to your comments, questions, ideas, and suggestions for the future of Accendo Reliability. This Accendo Reliability webinar was originally broadcast on 11 January 2022. Download RSS To view the recorded video and PDF of slides, visit the webinar page. Related Content About page Purpose of Accendo Reliability episode Introducing Accendo Reliability 2020 episode 2016 Status of Reliability Education 2016 Status of Reliability Education: A run down of reliability engineering training options available today See More Why Accendo Reliability A quick overview of the site and all that it offers: we will examine a few different metrics that show the growth and impact of the site. See More Accendo Reliability Mission, Vision, and Business Model The essence of the idea behind the site is to provide our community with great content to help you solve problems, learn, and improve. See More The post Accendo Reliability Mission, Vision, and Business Model appeared first on Accendo Reliability.

Let Me Tell You a Reliability Story podcast episode with speaker Fred Schenkelberg We always tell and listen to stories anecdotes, encounters, best practices, near misses, memories, etc. We also influence how we interpret the world through the stories we tell ourselves. Plus, we often work to alter the stories others have in their head as we work to improve reliability. Stories are a powerful way to convey information in a memorable manner. People remember stories (maybe not the details, but the gist or point), whereas they quickly forget a table of facts. So, how do you go about telling a memorable story about a Weibull plot of field data? Or a mean cumulative plot of a repairable system? Let's explore the practice of storytelling when in the role of a reliability engineer or manager. Plus, let's examine a few methods to become an impactful storyteller. This Accendo Reliability webinar was originally broadcast on 14 December 2021. Download RSS To view the recorded video and PDF of slides, visit the webinar page. Related Content Lessons Learned from Coffee Pod Stories episode Reliability Spooky Stories episode Five Impactful Elements of the New Book, Facilitating with FINESSE article< How to Compel Uncertainty to Respond (and Strengthen Communication) article   Let Me Tell You a Reliability Story how do you go about telling a memorable story about a Weibull plot of field data? Or, a mean cumulative plot of a repairable system? See More Communicating as a Reliability Engineer You can become a great communicator. Let's explore how you can improve your skills and enhance your ability to do your work. See More The post Let Me Tell You a Reliability Story appeared first on Accendo Reliability.