

Accendo Reliability Webinar Series
Fred Schenkelberg
Reliability Engineering Basics, Statistics, Accelerated Testing, Program Assessment and Improvement.
Listen in on in depth discussions held during the live monthly Accendo Reliability webinar series. We explore topics ranging from reliability engineering basics, statistics, accelerated life testing, program assessment and improvement. Catch up or review past events below.
Listen in on in depth discussions held during the live monthly Accendo Reliability webinar series. We explore topics ranging from reliability engineering basics, statistics, accelerated life testing, program assessment and improvement. Catch up or review past events below.
Episodes
Mentioned books

Sep 26, 2018 • 0sec
Fundamentals of Stress-Stress Analysis
Fundamentals of Stress-Strength Analysis
podcast episode
If your product is stronger than the applied stress, it should work. The stress/strength relationship concept is well known, but did you know stress and strength change over time? Let's use the best information and tools for this analysis.
The key idea of stress/strength or derating for electrical engineers is to design a product using materials and components with the suitable strength to withstand the stress condition experienced over the expected duration of use. The term margin refers to the distance between the minimum strength and expected maximum stress. We know failures are more likely to occur when little or no margin exists.
Let's discuss the information necessary to understand the expected stress and the strength and how both will change over time. There are several ways to estimate failure rates depending on your available data. The better your data, the better your estimates.
The engineers doing the design work select the materials and components and need the best available understanding of stress and strength and how they change over time to design in reliability right from the start. While desirable to get data for every material type and component and every possible applied stress, that just isn't feasible. So, let's also talk about a few strategies to narrow the focus to the critical few that require the best possible data for a stress/strength analysis.
As always, this webinar will be very interactive, with plenty of prompts for your comments and questions. So, bring your questions and problems around applying stress/strength concepts. Let's discuss how you can improve your product's design with a better analysis.
This Accendo Reliability webinar originally broadcast on 25 September 2018.
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To view the recorded video/audio of the event visit the webinar page.
Related Content
Strength-Stress with Limited Information episode
How to Set Environmental Specifications for Testing episode
Improving Fatigue Resistance article
Test Reliability Targets and Expected Field Reliability article
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
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The post Fundamentals of Stress-Strength Analysis appeared first on Accendo Reliability.

Aug 18, 2018 • 0sec
10 Keys for Maximizing the Benefits of Your SPC Program
10 Keys for Maximizing the Benefits of Your SPC Program
podcast episode by Steven Wachs
Statistical Process Control charts have been called the Voice of the Process. Progressive manufacturers utilize control charts to listen to their processes so that potentially harmful changes will be quickly detected and rectified.
However, not all SPC programs deliver to their highest capability as there are many elements to get right to achieve maximum utility. Highly effective SPC programs combine technical competencies, such as using an appropriate chart and sample size for the application, with effective management techniques enabling operator buy-in and involvement. This webinar identifies and describes ten keys that unleash the power of SPC.
The Purpose of SPC
Identifying Key Characteristics
Validating Measurement Systems
Selecting the Right Chart
Control Limits and Specification Limits
Effective Sampling Strategies
Adequate Sample Sizes
Automating SPC (Real Time)
Empowering Operators
Driving Process Improvement
The participants will gain a high-level understanding of Statistical Process Control. Ten important keys to maximizing the benefits of SPC in any company are described in detail. The ten keys range from technical considerations to management practices. Understanding these important factors will allow SPC to be implemented effectively so that the expected benefits may be realized.
Bring your concerns, questions, and experience with stress screening to this discussion.
This Accendo Reliability webinar originally broadcast on 16 August 2018.
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To view the recorded video/audio of the event, visit the webinar page.
Related Content
Selecting Control Charts article
Statistical Process Control Overview article
Chance of Catching a Shift in a Control Chart article
8 Steps to Creating an X-bar and s Control Chart article
Why Understanding Statistical Process Control Is Important 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).
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Reliability and Statistical Process Control
Let's explore some cases where effectively using statistical process control will enhance your product's reliability performance.
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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.
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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.
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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.
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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.
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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.
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Fundamentals of Control Charts
Statistical control charting (SPC) is a method for monitoring and determining whether a process is in control or stable.
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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.
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The post 10 Keys for Maximizing the Benefits of Your SPC Program appeared first on Accendo Reliability.

Aug 14, 2018 • 0sec
Process Capability, Tolerance, and Reliability
Process Capability, Tolerance, and Reliability
podcast episode
Product failures may occur due to material or component variability. The steel in a bracket is more brittle than optimal, or the capacitance is on the low side of an acceptable range. Designing a product with variation in mind enables the creation of a reliable product.
If there were no variation in material properties, component performance, or assembly techniques, products would work as designed. There is variation. Everything varies. Designers and engineers know this and must consider the expected variation of the elements that make up the product.
Ideally, the design team would work with materials and components with well-characterized process capabilities. This knowledge partly permits the establishment of design specifications for the various elements that make up a product. Including tolerances with a design is this deliberate accounting for the expected or required maximum variation.
The problems come when a designer establishes tolerances when the supporting processes cannot create items within the specified tolerances. The materials and components we use do not read the specifications. They have the variability they have regardless of wishful thinking or specifications.
Creating a truly reliable product requires the design to balance functional performance, manufacturability, and robustness to variation. In this short webinar, let's talk about how process capability should influence designs such that the resulting product is reliable.
Let's discuss the reliability engineer’s role in understanding and minimizing process variability while encouraging the design team to establish a robust design with as much variation as possible. Finding the right balance is essential to creating a product that is both producible and durable.
Leave your concerns, questions, and experience with tolerancing.
This Accendo Reliability webinar originally broadcast on 14 August 2018.
Download RSS
To view the recorded video/audio of the event visit the webinar page.
Related Content
Confidence and Tolerance Intervals episode
Design Tolerances Based on Economics (Using the Taguchi Loss Function) episode
The Importance of Fit, Tolerance & Clearance article
Root Sum Squared Tolerance Analysis Method article
Worst Case Tolerance Analysis article
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 Process Capability, Tolerance, and Reliability appeared first on Accendo Reliability.

Jul 10, 2018 • 0sec
Fundamentals of Stress Screening
Fundamentals of Stress Screening
podcast episode
Stress screening, highly accelerated stress screening, and burn-in are expensive activities to avoid. Yet stress screening does have a valuable purpose in specific circumstances. Let's talk about when and why you may conduct stress screening.
The environment is the weather around your product, yet what about the local environment for the power supply within your product? Does the environmental set of stresses change over time? Do the stresses of assembly, transport, storage, or use pose significant risks leading to failure?
Screening of any sort is expensive. It is also prone to error. It is best avoided. Yet there are instances when screening, inspecting items in some fashion to determine suitability, adherence to specification, or sorting is the appropriate course of action.
Adding stress adds cost and complexity to the process. It can quickly expose flaws, hidden defects, or imperfections. The selection of the stress is important. Selecting the wrong type and amount of stress may not hasten the objective or damage all of your screened items.
Let's talk about stress screening, including why it is such a poor practice and why it should be avoided or stopped as soon as possible. Let's also discuss how to properly design and run a stress screening process, including how to select the appropriate stress, the amount of stress, the different ways to apply stress, the assumptions, and most importantly, how to avoid needing to stress screen in the first place.
Bring your concerns, questions, and experience with stress screening to this discussion.
This Accendo Reliability webinar originally broadcast on 10 July 2018.
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To view the recorded video/audio of the event visit the webinar page.
Related Content
Results-Driven Decisions, Faster: Accelerated Stress Testing as a Reliability Life Test episode
Reliable Manufacturing Tool Selection episode
Next Generation HALT and HASS book
Monitoring Manufacturing Product Reliability episode
Fundamentals of HALT
Just the fundamentals of HALT in this fast-paced event. HALT has value, the four steps, and a few examples of how it can go wrong.
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Fundamentals of Stress Screening
Stress screening does have a valuable purpose in specific circumstances. Let's talk about when and why you may conduct stress screening.
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What is Highly Accelerated Life Testing (HALT)?
This webinar will introduce you to Highly Accelerated Life Testing (HALT) to help you and your organization identify the vital few quicker.
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The post Fundamentals of Stress Screening appeared first on Accendo Reliability.

Jun 12, 2018 • 0sec
Fundamentals of Environmental and Use Conditions
Fundamentals of Environmental and Use Conditions
podcast episode
A complete reliability goal statement element involves a product's environment and use conditions. The ability to define these clearly during the design process is not always easy, yet a valuable addition to your reliability program.
The environment is the weather around your product, yet what about the local environment for the power supply within your product? Does the environmental set of stresses change over time? Do the stresses of assembly, transport, storage, or use pose significant risks leading to failure?
Also important is how often and how the customer uses the product. Are there different failure mechanisms posing a risk of failure when a product is not used often versus used often?
Let's discuss building an environmental manual for a family of products, including which stresses to include. We'll also discuss connecting data collection efforts to specific failure mechanisms and ways to keep the list of environmental stresses relevant to your newest development efforts.
Saying a product I used outdoors or in a computer center may convey the general idea. Yet, your design team, vendors, and your life testing work require understanding with sufficient detail where and how the product is likely to find itself in operation.
Bring your questions, and let's discuss understanding the environment and use conditions that impact your product’s performance in your customers’ hands. This is more than just a batch of environmental tests and is much more useful.
This Accendo Reliability webinar originally broadcast on 12 June 2018.
Download RSS
To view the recorded video/audio of the event, visit the webinar page.
Related Content
Improving Reliability of Circuit Assemblies in Harsh Environments episode
How to Fully Characterize the Environment episode
Use and Environment Definitions episode
Are Environmental Standards Useful? episode
Establishing Reliability Goals
Consider both your customer and business expectations to create meaningful goals to guide your team's reliability decisions.
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Fundamentals of Reliability Performance Monitoring
An introduction to setting up and using reliability performance monitoring. Be sure to connect the metric to the decision you need to make.
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Fundamentals of Environmental and Use Conditions
A basic discussion about the importance of environmental and use conditions for every reliability related decision
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Fundamentals of Reliability Goals
Let's explore the elements that make up a reliability goal. Plus, the range of inputs you can use to define each element.
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Fundamentals of System Effectiveness
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What’s Wrong with Using ‘FITs’?
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Fundamentals of Allocation
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Fundamentals of Metric Monitoring
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What is Reliability?
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The post Fundamentals of Environmental and Use Conditions appeared first on Accendo Reliability.

May 16, 2018 • 0sec
Fundamentals of Sample Size Determination
Fundamentals of Sample Size Determination
podcast episode
A common question about reliability testing is, What is the sample size? It is also a difficult question to answer well. The right sample size balances cost, accuracy, and variability. In some cases, we also consider the time to results.
When planning reliability testing, an important task is to determine the necessary sample size. Too few samples and the results will be indistinguishable from statistical noise. Too many samples and the cost of testing becomes more than necessary.
Understanding the basics of sample size calculations for various situations and approaches permits you to quickly estimate the right sample size given the information you have available. The first estimate often leads to discussions concerning the constraints, goals, and striking the right balance of samples and outcomes.
Let's discuss the many challenges and solutions available for sample size determination. We'll examine a few situations, formulas, and best practices to determine the right sample size for each situation. Sample size starts as a statistical exercise and becomes a business/project conversation.
Learning to determine sample size is a critical skill for reliability professionals. Let's talk about sample size determination and getting the fundamentals right.
This Accendo Reliability webinar originally broadcast on 15 May 2018.
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To view the recorded video/audio of the event visit the webinar page.
Related Content
ALT Sample Size episode
Extrapolation and Sample Sizes episode
Reliability and Sample Size episode
Three Considerations for Sample Size article
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.
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R Software and Reliability
Let's explore R software's many capabilities concerning reliability statistics from field data analysis, to statistical process control.
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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.
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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.
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Fundamentals of Sample Size Determination
Let's discuss the 6 basic considerations to estimate the necessary sample size to support decision making.
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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.
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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.
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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.
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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.
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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.
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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.
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Basic Mathematical Symbols and Stuff
This webinar is a light (re)introduction into common mathematical symbols used in many engineering scenarios including reliability.
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Confidence in Reliability
Reliability is a measure of your product or system. Confidence is a measure of you. But we often forget this.
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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.
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What is the Weibull Distribution?
For those who conduct reliability data analysis or turning a jumble of dots (data points) into meaningful information
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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.
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Fundamentals of Hypothesis Testing
Let's examine a handful of parametric and non-parametric comparison tools, including various hypothesis tests.
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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.
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What is the ‘3 Parameter’ Weibull Analysis
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What is the Lognormal Distribution
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Confidence is a Measure of You
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The post Fundamentals of Sample Size Determination appeared first on Accendo Reliability.

Apr 11, 2018 • 0sec
Fundamentals of Weibull Analysis
Fundamentals of Weibull Analysis
podcast episode
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. In this short webinar, let's discuss when and why you would use Weibull analysis, the basic process, and its limitations.
Weibull analysis is very popular and has become a generic term for life data analysis. It is useful, has some nice features, and is easy to interpret. Yet, it has a dark side as well. Let's talk about the basic use of the distribution, when not to use it, and how to know when better tools are available.
A great first step when faced with a pile of data is to plot it. Look at the data and get a sense of what story the data may have to tell. Another early step in any data analysis is to detail what question you are trying to answer. Are you looking for problems that you then can solve? Are you trying to understand the reliability performance of your product? Or something else?
Let's discuss the fundamentals of Weibull analysis, including the basic approach, when and why you would do such an analysis, and some problems that may arise. The idea is to help you understand this tool well enough to wield it confidently as you identify and solve reliability questions.
This Accendo Reliability webinar originally broadcast on 10 April 2018.
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To view the recorded video and event slides, visit the webinar page.
Related Content
Weibull Analysis and Physics Trumps Mathematics episode
A Discussion on Weibull Analysis with Fred Schenkelberg episode
What is Weibull Distribution? episode
Questions to Ask about Data Analysis 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.
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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.
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Reliability Data
We will discuss the pros and cons of various sources. Plus, let's examine a few ways to use simulations or models.
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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.
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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?
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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?
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Overview of Life Testing in Minitab
Minitab itself has many reliability functions available; this presentation covers the basics, including distributions, censoring, and fitting.
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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.
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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.
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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.
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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.'
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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.
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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.
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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.
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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.
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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.
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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.
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What is Weibull Probability Plotting?
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The post Fundamentals of Weibull Analysis appeared first on Accendo Reliability.

Feb 13, 2018 • 0sec
Fundamentals of Hazard Analysis
Fundamentals of Hazard Analysis
podcast episode
Some products and systems are just dangerous, inherently. Understanding inherent safety-related risks permits a team to design out or mitigate those risks. Hazard analysis is the systematic process of identifying and controlling safety risks.
Let's discuss hazard analysis’s basic definition(s), including the range of industries and standards involved. Plus, let's review the basic approach to accomplish the analysis.
It should be obvious that understanding safety risks permits your team to deal with those risks meaningfully. The common mitigation or control approaches include design changes, fail-safe responses, early warning capability, and training (as a last resort).
Like an FMEA, hazard analysis creates a prioritized list of action items. Instead of minimizing failures and the consequences of those failures, hazard analysis focuses on safety-related risks, particularly those that are designed into the system or product (inherent). This includes foreseeable misuse and abuse of the system.
Conducting a hazard analysis may not be the primary role of a reliability engineer, yet the advent of failures of safety-related consequences certainly is part of reliability. Working closely with your entire team, including those focused on safety, can provide additional means to improve the right reliability performance and keep customers safe.
This Accendo Reliability webinar originally broadcast on 13 Feb 2018.
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To view the recorded video/audio of the event, visit the webinar page.
Related Content
Introduction to Hazards Analysis episode
Process Safety Management with Paul Daoust episode
Safety and Reliability episode
3 Steps NRTL use for product safety article
Fundamentals of Hazard Analysis
Let's discuss the basic definition(s) of hazard analysis, and review the basic approach to accomplish the analysis.
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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.
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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.
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The post Fundamentals of Hazard Analysis appeared first on Accendo Reliability.

Jan 10, 2018 • 0sec
Fundamentals of Cost of Poor Reliability
Fundamentals of Cost of Poor Reliability podcast episode
I define a reliability failure as something that costs your organization money. It might be a warranty expense or a lost customer. A failure may also create customer expenses, too. Let's talk about the range of un-reliability costs and their impacts.
Consider the impact of a product failure. What are the expenses to you, your organization, your customers, and society? Consider which costs of poor reliability your organization considers and which matters.
Like the Taguchi Loss Function or the cost of poor quality, the cost of poor reliability is far larger than a warranty expense. Yet, many organizations do not consider nor quantify the impact on their customers and society. Sure, some industries do, yet does yours?
Let's discuss the different types of costs of poor quality and how you can estimate these costs. Also, let's discuss how you can use this information to inform design, supply chain, and manufacturing decisions.
Making a good decision partly hinges on having the appropriate information. The cost of poor reliability should be part of your organization's decision. From component selection to strategic positioning of a product line, reliability performance and the impact of failures matter.
Understanding this concept and estimating and communicating the cost of poor reliability will improve the decision-making across your organization concerning product reliability performance.
This Accendo Reliability webinar originally broadcast on 9 Jan 2018.
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To view the recorded video/audio of the event, visit the webinar page.
Related Content
Manage All Failures or Else with James Reyes-Picknell episode
Warranty Costs are Lot More than the Accounts Tell You article
Customer Experience and Failures Its not you its them! episode
Life Cycle Costs article
Finding Value with Reliability Tasks
This webinar discusses the importance of estimated value and helps you discover and state the value of common reliability activities.
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Life Cycle Cost Analysis for a Reliability Engineer
Life cycle cost: Let's explore estimating the total lifecycle costs for a complex system from the point of view of a reliability engineer.
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Predicting the Value of a Reliability Goal in Your Organization
When setting a reliability goal, considere the value that reliability goal may provide. Let's explore three ways you can estimate the value.
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Fundamentals of Cost of Poor Reliability
A discussion of the wide range of the impact of the cost of poor reliability on engineers, organizations, customers, and society.
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Fundamentals of the Cost of Unreliability
When a product or system fails there is a consequence. Often there is a loss of value. A warranty replacement costs money.
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The Reliability Value Map. It is a thing.
A value map is an organized chart that helps you track down every possible good' thing that reliability can do for you.
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Reliability Making Money
You need to work out how many spare parts, so put some numbers in a computer and use the that result. Right?
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Reliability Making Money 2 Case Study
Let's explore a Weibull plot and enjoy reliability making money. In this episode, we look at an actual Weibull plot for an actual example
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How to Make a Decision
This webinar takes you through the key steps of decision-making particularly relating to reliability engineering.
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9 Ways Reliability is Green Engineering
Visit a scrap yard to witness the impact of getting a new car'. Let's explore the many ways creating a reliable product is beneficial.
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10 Reasons to Do Reliability
Besides discussing what is involved in reliability, let's explore a short list of reasons to use reliability thinking with your team.
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The post Fundamentals of Cost of Poor Reliability appeared first on Accendo Reliability.

Dec 13, 2017 • 0sec
Fundamentals of Root Cause Analysis
Fundamentals of Root Cause Analysis podcast episode
The ability to determine the root cause of a failure is a skill. It requires agility, leadership, inquisitiveness, diligence, and technical skill. Successful RCA taps into your creativity and technical prowess. Using a structured approach helps.
There are many challenges when determining the root cause of a failure the desire to find and implement a solution quickly. Or the lack of resources and equipment being immediately available.
Let's discuss the common challenges and a few ideas for solving or avoiding these obstacles.
Keeping in mind that some symptoms may mask or share underlying failure mechanisms. Understanding the underlying physics, chemistry, code, and interactions may present a challenge. Creating hypotheses allows for a structured scientific approach to gaining a fundamental understanding of a problem.
Sometimes, a good enough understanding is all you can manage. Let's discuss when you have sufficient understanding of a failure mechanism to implement a solution. There are theatrical and empirical approaches, along with a bit of creativity, that can help you efficiently conduct RCA.
Overall, a great method to address both the interpersonal and technical challenges is a structured approach to RCA. One method, there are many, is called 8 Disciplines. Let's review this basic process so you can employ it for your next RCA.
This Accendo Reliability webinar originally broadcast on 12 Dec, 2017.
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