

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

Feb 14, 2017 • 0sec
Is Reliability Testing Always Necessary?
Do Reliability Testing That Adds Value, Informs Decisions, and Provides Information
Reliability testing is expensive, time-consuming, and fraught with errors. Is it worth the effort? Is it necessary? Let's explore relegating testing to only a ‘when necessary’ status. Let's explore what you and your team can do instead.
Testing results arrive late in the development program, often too late to improve reliability. The development team requires reliability performance feedback much earlier to make design and process improvements effectively.
The dilemma is many organizations rely on prototype testing to create the first estimates of product reliability performance. You can and should do better.
Let's explore the alternatives to testing you may want to employ. Plus, let's ensure the little testing generates the necessary reliability information efficiently and effectively. Given the typical testing investment, reliability testing should provide significant value to the team.
In this webinar, we will discuss poor and best practices around reliability testing, plus a handful of viable alternatives to limit the need for reliability testing.
This Accendo Reliability webinar originally broadcast on 14 February 2017.
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To view the recorded webinar and slides, visit the webinar page.
Related Content
Results-Driven Decisions, Faster: Accelerated Stress Testing as a Reliability Life Test episode
Introduction to HALT Highly Accelerated Life Testing with Dr. Christopher Jackson episode
Wishful Accelerated Testing episode
Issues with Single Stress Testing episode
Use FMEA to Design for In-Process Testing episode
Creating Unique Reliability Tests
A well crafted reliability test or series of tests helps us to understand what will fail and when. Craft your tests to be valuable.
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Is Reliability Testing Always Necessary?
Consider your reliability testing. Is it informative, useful, and valuable? If not, then don't do the test. Plan your testing to have value.
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Fundamentals of Reliability Testing
Let's discuss planning and conducting reliability testing that provides meaningful results in an effective manner. Let's do testing right.
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Reliability is More than Testing
Reliability Testing is one method to create information, yet may not the most useful or effective approach to create a reliable product.
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Fundamentals of Ongoing Reliability Testing
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Fundamentals of Success Testing
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The post Is Reliability Testing Always Necessary? appeared first on Accendo Reliability.

Jan 11, 2017 • 0sec
The Importance of Reliability Apportionment and How to Do It Today
The Importance of Reliability Apportionment and How to Do It Today
Your team may understand the system reliability goal, yet they should know the goal for the element they are addressing. Let's discuss why you must do reliability apportionment. Plus, let's explore how it benefits your team.
There are a few methods for reliability apportionment. You might use a straight-line approach or incorporate a similar product's field data. The actual method is less important than the discussion involved with establishing the apportioned reliability goals.
Starting with a simple reliability model, you and your team can define the reliability targets for each subsystem and major component. It's a starting point worth revisiting often as you obtain or create reliability estimates.
Using a reliability model with apportioned goals can engage your entire team to improve the overall system’s reliability. It's also a mechanism to encourage regular discussions and research that helps to improve the certainty and accuracy of reliability estimates.
The idea is to worry less about how you create the initial apportionment and invest more in the process that engages your entire team concerning system reliability. Let's discuss how to start your reliability apportionment process quickly and how to use the discussions to drive reliability improvements best.
This Accendo Reliability webinar originally broadcast on 10 January 2017.
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To view the recorded webinar and slides, visit the webinar page.
Related Content
Weakest Link article
Reliability Block Diagrams Overview and Value article
Series System article
Parallel Systems article
k out of n article
Reliability Apportionment and How to Do It
Reliability apportionment is a power tool to enable your team to make decisions while fully considering the reliability impact.
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Fundamentals of RBD
Reliability Block Diagrams are a useful and simple tool to encourage reliability discussions and improved decisions.
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Fundamentals of Physics of Failure
Let's consider physics of failure (PoF) models, how to use them, plus how to create them, as a central element of your reliability program.
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Fundamentals of Monte Carlo Analysis
The Monte Carlo method is a relatively simple process that permits you to create models that include the naturally occurring variability.
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3 Ways to Do Reliability Allocation
Having a reliability target for your product is great. But how does that help all the little design teams? Use subgroup targets.
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Reliability Life Models
Failure is a random process. Which means we can't predict with absolute certainty when something will fail. Enter 'reliability life models.'
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What is a ‘Fault Tree’?
Join us for this webinar to learn more about how fault trees can help you ... regardless of what you are trying to achieve.
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Why Redundant Systems Aren’t Always Redundant
Redundancy has continually proven to not always be redundant. Let's explore a few reasons this occurs. And, how to judge your system.
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Reliability of a K out of N' System
There are K out of N' systems that need K' components out of a total of N' components to work for the system to work.
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What are ‘Cut Sets’?
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The post Reliability Apportionment and How to Do It appeared first on Accendo Reliability.

Dec 14, 2016 • 0sec
Basic Steps to Building Your Reliability Plan
Basic Steps to Building Your Reliability Plan
Creating a plan is necessary both for budgeting and buy-in. The added focus on reliability will help your team achieve it's reliability goals. Plus, a good plan helps build your credibility and program. Let's explore how to build a reliability plan.
First, no two reliability plans are the same. They may have similar elements, yet the path to achieving your goals will differ. Let's talk about how you craft the right plan for your situation.
Second, every project has different available information and constraints. You may have or not have samples for testing, new technology, controlled customer use conditions, not to mention resources. Building a plan is part of what you need to do to understand your product, uncover risks, and fit within the constraints.
While executing a plan without budget or resources is impossible, you can go a long way with limited resources.
Let's discuss the basic elements and critical questions you must address as you build your reliability plan. Bring your questions, constraints, and ideas to each unique situation as we explore fitting the right mix of tasks.
This Accendo Reliability webinar originally broadcast on 13 December 2016.
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To view the recorded webinar and slides, visit the webinar page.
Related Content
Putting Reliability Plans Together episode
The Need for Proper Reliability Plan episode
Tips For Building a Reliability Plan episode
Reliability Planning and Maturity episode
Building a Reliability Plan
Let's discuss how to build an effective reliability plan that fits your specific situation. The key is to add value with each step.
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Create a Meaningful Environmental Test Plan
Let's explore the steps and resources you should consider when creating an environmental test plan for each product.
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Basic Steps to Building Your Reliability Plan
Let's discuss the basic elements and critical questions as you build your reliability plan fitting the right tasks to each situation.
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Selecting the Right Reliability Tools
There are dozens of reliability tools. How does a reliability practitioner know which specific tools to use in a new reliability program?
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Creating an Effective Reliability Plan
A Reliability plan is a guide to achieve the organization's reliability objectives. A few steps and considerations will make a plan effective.
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Selecting Reliability Engineering Tools
The selection hinges on knowing what is available, understanding the current situation, and available information, plus ...
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Essential Reliability Engineering Techniques
Your science, engineering, and math formal training will serve you well as a reliability engineer, and that is not enough to be successful.
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6 Essential Reliability Engineering Formulas
Using a formula requires understanding the purpose, limitations, and assumptions involved. It also requires using the right formula.
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Reliability as a Process
The idea is to explore in detail why we think achieving reliability objectives is best done using a process approach.
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Deliberate Reliability Testing
Let's explore the many reasons to conduct testing and how to clearly link those tests to the decisions that rely on the test results.
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Dealing with Small Sample Sizes
Let's discuss approaches that enable you and your team first to have the right number of samples and then how to deal with too few samples.
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Building a Reliability Plan updated
This is an overview of the six steps to achieve high reliability from Carl and Fred's book. Creating and executing a reliability plan
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Selecting a Reliability Method
As reliability engineers, we generate information for the use of decision-makers. It is how we influence decisions that create value.
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Linking Customer Needs to Product Requirements and Robust Design
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The post Basic Steps to Building Your Reliability Plan appeared first on Accendo Reliability.

Nov 9, 2016 • 0sec
What To Do When A Customer Requests MTBF
What To Do When A Customer Requests MTBF
You have carefully crafted a detailed reliability goal including function, environment, probability, and duration, plus apportioned it to critical supplied subsystems and components. Your vendor decides to use MTBF instead.
What can you do? What should you do?
The supplier is critical to the success of the project. The design team wants to work with this supplier, and there are few viable alternatives. What can you do?
Let's discuss this and similar situations and outline steps you can take to prevent this from occurring to start. What specific steps can you take to help your supplier use your stated reliability goal and not MTBF?
If you have experienced this situation, let me know, and let's talk about both the impact and how you achieved the desired supplied part reliability. We all face this situation, so let's share what we have found to work to achieve our overall project goals.
This Accendo Reliability webinar originally broadcast on 8 November 2016.
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To view the recorded webinar and slides, visit the webinar page.
Related Content
The Reliability Metric: A Quick and Valuable Improvement Over MTBF book
We Need to Try Harder to Avoid MTBF article
The Business of Providing MTBF article
Exploring Alternatives to MTBF
You may already know my position on MTBF. If not, in short, do not use MTBF at all, ever, in any form. So what should we use instead.
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What To Do When A Customer Requests MTBF
what specific steps you can take to help your customer actually use your the stated reliability goal and not MTBF.
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What You Need to Know About MTBF
No time to understand MTBF, and your organization relies on the reliability of its products, you are almost certainly in trouble.
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What to Do About MTBF Use
The proper and improver responses to someone asking about or requesting MTBF information. Some to avoid and some to use regularly.
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How Do I Do MTBF Testing?
If you want to learn more about MTBF testing and how it might (or might not) work then view this recording.
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Why You Should Avoid MTBF
This morning's email included a question on why I was so against using MTBF. This episode is my answer and why one should avoid MTBF
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The MTBF and Modeling System Reliability
The Mean Time Between Failure (MTBF) appears in lots of textbooks and standards, so it must be really important right? Well, not really.
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The MTBF Sucks. Here’s Why.
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The post What To Do When A Customer Requests MTBF appeared first on Accendo Reliability.

Oct 12, 2016 • 0sec
Time to Failure Data Analysis for Your Factory Equipment
Time to Failure Data Analysis for Your Factory Equipment
We have data. Often, an abundance of data concerning equipment failures. Failures per month or MTBF-type measures do not reveal sufficient insights to understand the pattern of failures.
We need to know if the rate of failures is increasing or not and if the maintenance program is helping or hurting the equipment long term. We must understand the pattern of failures to align our maintenance strategy properly.
Let's explore two ways to use the time to failure data you already have available (or should have). For repairable items, the mean cumulative function and associated plots provide you with an estimate of the effectiveness of your repairs. Are repairs restoring the system to good-as-new' condition, bad-as-old', or somewhere in between?
This Accendo Reliability webinar originally broadcast on 11 October 2016.
Download RSS
To view the recorded webinar and slides, visit the webinar page.
Related Content
Confusion between repairable and non-repairable data analysis episode
Myth Busting 23: We need lots of failure data article
Trending Data is Important to Predictive Activities article
Is Maintainability Only About Repair Time? 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.
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.
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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.
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.
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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.
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.
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What is Weibull Probability Plotting?
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The post Time to Failure Data Analysis for Your Factory Equipment appeared first on Accendo Reliability.

Sep 14, 2016 • 0sec
Collecting and Analyzing Your Field Data
Collecting and Analyzing Your Field Data
We often have more data than we can use. For time to failure, warranty claims, and related field data, we should take the time to learn what we can. Let's explore organizing your field data and use basic techniques let the data speak.
What kind and where can you find the data to understand your field reliability performance? You helped launch a reliable product, at least as reliable as possible. Now, it's the customer's turn to evaluate and experience the product’s reliability.
Let's explore where the data comes from and how to organize and prepare that data for analysis. Plus, let's discuss some ways to look at your data initially. What questions to ask and assumptions to check? Let's discuss how to get started using the data you probably already have available.
This Accendo Reliability webinar originally broadcast on 13 September 2016.
Download RSS
To view the recorded webinar and slides, visit the webinar page.
Related Content
Ready to Use Field Data episode
Challenges with Field Data episode
Collecting Field Data Automatically episode
Dealing with Field Data 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 Collecting and Analyzing Your Field Data appeared first on Accendo Reliability.

Jul 12, 2016 • 0sec
Predicting the Value of a Reliability Goal in Your Organization
Predicting the Value of a Reliability Goal in Your Organization
Establishing a reliability goal for a project is often done early.
You may already know the reliability goal guides the entire development and supply chain team.
Yet, what is the actual value of setting a reliability goal?
Value is the return on the investment. Here, setting a goal may be customer-imposed or simply an educated guess.
It may take some work to craft a meaningful goal reflecting customer expectations. What difference does it make if you do not set a goal, set a quickly devised one, or set a well-researched goal?
The value of a goal can manifest itself in many ways, from providing direction, providing a standard for comparison, assessing suppliers’ capability, and judging actual field performance.
Yet, how does one go about estimating the value of setting a goal?
Let's discuss the various approaches and methods to ascertain the value created when you set a reliability goal. The discussion explores examples using different situations to demonstrate how to find value in goal setting.
This Accendo Reliability webinar originally broadcast on 12 July 2016.
Download RSS
To view the recorded webinar and slides, visit the webinar page.
Related Content
Choose Reliability Goals for Modules episode
Reliability Goals and Allocation episode
5 Aspects of Good Reliability Goals and Requirements episode
Keeping Reliability Goals Relevant episode
Reliability Goal Setting and Safety episode
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 Predicting the Value of a Reliability Goal in Your Organization appeared first on Accendo Reliability.

Jun 17, 2016 • 0sec
Understanding and Controlling Process Variation
Understanding and Controlling Process Variation
Let's discuss sources of variation and how to measure, monitor, and control processes to minimize the differences from one part to the next.
Statistical process control (SPC) is a set of tools that provide insights into the changing nature of processes.
Product designs include the design engineer's desired dimensions and an allowance for variation. Engineers use tolerance analysis to determine a range of sizes to enable assembly into the final product.
If every component complied with the design's nominal values without variation, every assembled product would work as intended. Unfortunately, components, materials, and parts vary. They vary within or beyond the design specification because the variation directly results from the processes that create the part and not the design intent.
Manufacturing processes create parts that are different from one another. Even a well-controlled and stable process has variation.
When the design calls for restricting the variation with a tolerance smaller than the natural range of variation, parts will still have dimensions outside the specifications. Manufacturers may include an inspection to sort out faulty parts, thereby incurring higher yield losses and higher costs.
Some out-of-spec' parts might only be found after assembly into a final product, compounding the cost of the error. Where is the root cause of the out-of-spec parts? What element of the process led to the faulty product?
When the design does not account for the normal variation of the manufacturing processes, it is inevitably the designer's fault. Variation happens.
In this webinar, we will discuss the various sources of variation and how to measure, monitor, and control processes to minimize the differences from one part to the next.
Statistical process control (SPC) is a set of tools that provide insights into the changing nature of processes. Making variation visible allows the entire team to minimize excessive variation.
Even if we accept that no two parts are the same, it is not safe to assume that all parts are within the expected or defined range of values.
A process that is not monitored or controlled will generally create results with excessive variation.
This Accendo Reliability webinar originally broadcast on 14 June 2016.
Download RSS
To view the recorded webinar and slides, 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
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).
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.
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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.
See More
The post Understanding and Controlling Process Variation appeared first on Accendo Reliability.

May 14, 2016 • 56min
How to Build Your Influence as a Reliability Engineer
How to Build Your Influence as a Reliability Engineer
Good with data or failure analysis are elements of a great reliability engineer.
Another is the ability to influence. The perfect analysis and dynamic slide deck are not sufficient. You also must master the ability to persuade to influence.
Reliability engineering supports the development or maintenance of a product or system.
Reliability is one of many competing considerations, and we often have to rely on persuading others to implement reliability improvements.
This webinar explores how we, as reliability professionals, can improve our ability to influence.
Data, facts, and analysis are only the start; at some point, we will have to present a recommendation. Our ability to work with others to guide a course of action relies on our ability to persuade.
This discussion focuses on how to become more effective as a reliability professional. We will discuss and explore examples to illustrate:
the basics (context, strategy, and timing),
general rules (honesty, congruency, and marketing),
and personal skills (flexibility and patience, preparatory skills, and confidence).
A broad persuasive skill set will enable you to accomplish more and create greater value by effectively using your reliability knowledge and skill.
This Accendo Reliability webinar originally broadcast on 10 May 2016.
Download RSS
To view the recorded webinar and slides, visit the webinar page.
Related Content
Building Rapport and Influence episode
Influence Change Behavior episode
<Managers can Count Better than They can Think episode
Reliability Occurs at the Point of Decision episode
Influencing Change episode
Successful Career in Reliability Engineering
This discussion explores the seven key traits talented, professional, networked, positive, valuable, studiousness, and mentoring ability.
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Getting Started with Reliability Engineering
Reliability Engineering is a daunting field. The technical breadth of skills spans material science to statistics.
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How to Prepare for the ASQ CRE Exam
Let's discuss the exam and certification in general, then how to prepare for the exam and exam day strategy for this timed test.
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Does a Certification Make You a Professional Reliability Engineer?
Certifications based on your reliability engineering knowledge does not make you a professional. It is the applies knowledge that does.
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How to Build Your Influence as a Reliability Engineer
Build your influence: This webinar explores how we, as reliability professionals, can improve our ability to influence.
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A Review of the 2018 ASQ CRE Body of Knowledge
With the changes to topics, it attempts to reflect what reliability engineers do daily. Let's take a close look and discuss what it means.
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Improve Your Reliability Teaching Skills
As a reliability professional you will be asked to teach. Let's explore becoming an amazing teacher and improve your effectiveness.
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How is Reliability Engineering Changing?
What's coming to reliability engineering in 2020 and beyond? Let's explore a few trends and their implications.
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Why Reliability Engineering Is Important
When you examine what we do, it is important to our fellow engineers, our organization, our customers, and society.
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How to Learn Reliability Engineering
Let's take a look at a few ways to really learn what you need to know along your journey to become a reliability engineer.
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Reliability Engineering versus Quality Engineering
Let's explore similarities and differences along with how to best work together to achieve results and areas of overlap and confrontation.
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Looking Forward with Reliability Engineering
Looking Forward with Reliability Engineering is about understanding the decisions that the information we should create will inform.
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Being a Great Reliability Engineer
Let's explore the various stages of a career in reliability engineering, from getting started, to being competent, to becoming great.
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The State of Reliability Education
Let's explore the range of options available, pros and cons, and a simple strategy to make professional development routine.
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How to Get Unstuck
In this presentation, Greg Hutchins will explain how to Get Unstuck: Do Good. Be Happy based on the Working It book.
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Fundamentals of a Professional Development Plan
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The post How to Build Your Influence as a Reliability Engineer appeared first on Accendo Reliability.

Apr 21, 2016 • 54min
Life Cycle Cost Analysis for a Reliability Engineer
Life Cycle Cost Analysis for a Reliability Engineer
The investment in creating a reliable product pays dividends during the operation of the equipment or system.
The ability to estimate future savings or costs based on reliability engineering is key. Minimizing lifecycle cost occurs with reliability.
The concept of a product or system life cycle is not new.
We, as reliability engineers, encourage the investment early in the lifecycle for the eventual payoff (benefit) later during the lifecycle.
We employ design for reliability, robustness, process control techniques, and many others to ensure the system operates as reliably as possible. Yet, there is a cost to operating any complex system.
Maintenance, spares, and downtime, to name a few. Early in the lifecycle just how do we estimate the benefits the suggested reliability improvement may create?
Let's explore estimating the total lifecycle costs for a complex system from the point of view of a reliability engineer. Join me in discussing what to consider and how to estimate future costs while working early in the program.
You need to know this even if your system is not complex or repairable.
This Accendo Reliability webinar originally broadcast on 19 April 2016.
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