Accendo Reliability Webinar Series

Looking Forward with Reliability Engineering podcast episode with speaker Fred Schenkelberg One of the things I like about reliability engineering is the field has a stable set of tools and approaches with an ever-changing set of challenges. The process of conducting an FMEA or Root Cause Analysis hasn't changed much over time. Meanwhile, with the advent of new designs, materials, assembly techniques, and higher customer expectations, we continue to face interesting problems. Let's look into a crystal ball, follow a few trends, and discuss the future of reliability engineering. Let's also take a look at the idea of what guides our day-to-day work, which is to add value. Consider that we add value by influencing decisions. So what are those decisions, and how can we provide the right information and insights so the right decision is made more often than not? What would happen if we understood the question facing decision-makers? What if we organized our skills around answering questions instead of around techniques? We might select the appropriate tools more often and increase our ability to influence decisions, thus adding value. This Accendo Reliability webinar originally broadcast on 8 December 2020. Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content The Future of Reliability episode The Future of Reliability Engineering episode Past and Future Trends in Reliability episode How We Prepare Future Reliability Engineers episode Successful Career in Reliability Engineering This discussion explores the seven key traits talented, professional, networked, positive, valuable, studiousness, and mentoring ability. See More Getting Started with Reliability Engineering Reliability Engineering is a daunting field. The technical breadth of skills spans material science to statistics. See More 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. See More 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. See More 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. See More 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. See More 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. See More How is Reliability Engineering Changing? What's coming to reliability engineering in 2020 and beyond? Let's explore a few trends and their implications. See More Why Reliability Engineering Is Important When you examine what we do, it is important to our fellow engineers, our organization, our customers, and society. See More 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. See More 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. See More Looking Forward with Reliability Engineering Looking Forward with Reliability Engineering is about understanding the decisions that the information we should create will inform. See More 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. See More 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. See More 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. See More Fundamentals of a Professional Development Plan See More The post Looking Forward with Reliability Engineering appeared first on Accendo Reliability.

Reliability Analysis … now what? Part 4 podcast episode with speaker Chris Jackson This is the fourth in our webinar series, Reliability Analysis now what?' We have examined how to turn data points (like the different failure points of devices under test) into something simple, useful, and sometimes beautiful! This is something that commercial software can’t do. We have looked at how we can create this thing called the ‘likelihood’ that covers the probability of different ‘ways’ our failures can be explained. And we essentially create a ‘posse’ of these different ‘ways’ we can describe our data based on how likely they are. And that is what Markov Chain – Monte Carlo (MCMC) simulation can do for us. In the last webinar, we looked at what MCMC is. And now, it is time for us to ask our computers to do the heavy work So in this webinar, we show you how to get your computer to help you give useful reliability information to your boss, manager, director, or whoever it will be that thinks you are a star for removing all the ‘black magic’ of reliability! This Accendo Reliability webinar originally broadcast on 24 November 2020. Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content Connect Activity to Business Objectives episode Break-Even Analysis: To Paint or Not to Paint article Business Cases for Asset Management Part 1 article Business Cases for Asset Management Part 2 article 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 Reliability Analysis … now what? Part 4 appeared first on Accendo Reliability.

Reliability Engineering and Risk Analysis podcast episode with speaker Fred Schenkelberg Risk is uncertainty. Will this work? How will this item fail? Is it safe? Risk is not limited to product failure, including brand topics such as market acceptance, regulatory approval, supply chain stability, international conflicts, and more. Reliability engineering tends to focus on product failure to perform as expected, and we must fit into the large context of risks facing any product or system. Let's discuss risk, risk management, and our role in identifying and mitigating risks. Plus, let's explore how reliability engineering tools fit into the larger risk management processes many organizations have in place. There are a few ways to deal with risk, from ignoring potential risks until forced into action to anticipating risks and preparing responses, just in case. We will do a bit of both, as we will only anticipate some potential risks, there are still surprises out there. Yet, the better we are at identifying risks and understanding our roles and responsibilities, the more we can eliminate or mitigate risks well. This Accendo Reliability webinar originally broadcast on 10 November 2020. Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content The Designer's Risk Analysis affects Business, Projects, and Suppliers episode Using Risk and Safety Analysis as Part of the Requirements Process article Dealing with Reliability Risk episode Regulators and Risk episode Basic Risk Management episode AI Decision Making: Existential' Threat or Salvation Trust' in AI decision-making is one of the most important public policy challenges facing the world. Consider the risk and opportunities. See More Fundamentals of Risk Let's discuss risk management and reliability engineering, plus introduce a risk management framework based on ISO 31000. See More Reliability Engineering and Risk Analysis Let's talk about risk, risk management, and our role as reliability engineers in identifying and mitigating risks. See More Risk-Based Auditing Risk-based auditing is a must-have tool for all quality and reliability professionals. ALL ISO management systems require RBA. See More Risk Decision Making, Frameworks, and Assessments Let's discuss risk-based problem solving and decision-making along with an intro to risk management frameworks and assessments. See More Risk 101: Future of Quality We've evangelized for more than 20 years that the future of quality and its related disciplines, including reliability, will be risk-focused. See More Understanding Context Understanding context is important for making smart risk-based decisions and solving tough problems in today's world. See More AI Product Development and Deployment See More The post Reliability Engineering and Risk Analysis appeared first on Accendo Reliability.

Reliability Analysis … now what? Part 3 podcast episode with speaker Chris Jackson This is the third in our webinar series Reliability Analysis now what?' The first webinar showed what it means to turn reliability data into something a decision-maker can use. Not a chart. Not a graph. Not a p' value. Not anything else that you find in a textbook but isn't useful. Last month's webinar talked about how the best way to do this is to use computers but in an easy way! And we talked about creating a posse' of possible ways' to explain the data we see. And this webinar is about how we use this thing called Markov Chain Monte Carlo Simulation (MCMC) to create this posse.' And the posse' isn't random it is based on the likelihood' of each one being the correct one, which is how MCMC works. You can't really do this stuff without knowing the basics. So in this webinar, we show you the underlying mechanics of MCMC. And again relax! We aren't using equations just pictures! This Accendo Reliability webinar originally broadcast on 27 October 2020. Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content Markov Chain Modeling Just the Basics episode RAM Modeling with Fred Schenkelberg episode Reliability Analysis now what? Part 2 episode Telematics Data State Analysis article 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 Reliability Analysis … now what? Part 3 appeared first on Accendo Reliability.

Preventing Moisture and Corrosion Damage on Electronics in Harsh Conditions podcast episode with speaker Dan Jenkins The goal of this presentation is to educate the audience on options to prevent electronic equipment failure used in enclosed spaces from corrosion through preventative maintenance practices.    As most know, the metals used in today's electronics are processed but want to turn back to their original state as the iron components will oxidize, and the corrosion process begins.  Adding humidity, vibration, temperature swings, and acid environments (such as being in a tire plant or downwind from a refinery) will accelerate the process.  It is this corrosion and subsequent weakening or disfiguring of the metal that causes malfunctions and failures The presentation will discuss the following maintenance options, pros, and cons. 1) The use of barriers in the form of coatings and films to protect the metal. 2) The use of different types of desiccants to reduce moisture. This will include Silica Beads, Diatomaceous Earth, and Expanding Polymers. Additionally, the presentation will review how humidity develops and what actually happens to it in enclosed spaces. Finally, the presentation will review some simple self-test methods used to determine efficacy and a few related industry standards regarding protecting electrical components in storage. This information will help engineers and managers make better-educated decisions to help prevent the failure of electronic components that affect the facility's reliability. Dan Jenkins is a principal with Steel Camel and a specialist in accident prevention. He holds a degree in Industrial Technology from Chico State University. This Accendo Reliability webinar originally broadcast on 20 October 2020. Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content Corrosion Under Insulation (Stainless Steel) article Chloride Stress Corrosion Cracking article Metal Corrosion Basics and Controls article Corrosion in Agitated Conditions article Moisture Mitigation Strategies with Dan Jenkins and Rob Lowery episode Fundamentals of FRACAS This webinar introduces you to the basic elements of FRACAS. Plus, we examine a few failed programs so that you can avoid problems. See More Fundamentals of Root Cause Analysis Let's discuss when you have sufficient understanding of a failure mechanism to implement a solution and a few common obstacles to avoid. See More Essential Reliability Engineering Concepts Let's discuss the concept of failures along with a few other concepts universal to reliability engineering. See More Preventing Moisture and Corrosion Damage The goal is to educate the audience on options to prevent electronic equipment failure used in enclosed spaces from corrosion. See More What is Fatigue? Fatigue is interesting in that it allows something to fail without it ever being exposed to stresses that are beyond its strength. See More So What is the Root Cause? This webinar takes you through a framework to explore the understand the root cause of a failure, something we can do something about. See More Focus on Failure Mechanisms Let's explore the many ways something can fail and how understanding failure mechanisms makes a difference. See More Using Fault Trees to Conduct Root Cause Analysis (RCA) Discover the power of root cause analysis with fault trees. Uncover the hidden causes of failure and improve your reliability process. See More Fundamentals of Early Field Results Let's explore the concept of a delta phase and how to implement it in your organization. Plus, how to implement it in various product types. See More The post Preventing Moisture and Corrosion Damage on Electronics in Harsh Conditions appeared first on Accendo Reliability.

6 Essential Reliability Engineering Formulas podcast episode with speaker Fred Schenkelberg Dick Moss, retired HP Corporate Quality and Reliability Manager, once mentioned there are only five equations necessary to be a good reliability engineer. He quickly listed four equations and, with a smile, said the fifth one is the one you need to solve the current problem. Dick understood that we need a wide range of formulas and equations to do our job. We need to fully understand a range of concepts as well. I do not know if there are just five essential formulas, yet there are six essential concepts that we must understand. Let's discuss a few formulas, understand their idea or concept, and how to best use (or not use) the formula. Using a particular formula requires understanding the purpose, limitations, and assumptions involved. It also requires the knowledge that you are using the right formula. What do you consider the essential formulas? Please feel free to add your thoughts or questions when registering. This Accendo Reliability webinar originally broadcast on 13 October 2020. Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content The 3 Parameter Triangle Distribution 4 Formulas article The 1 Parameter Poisson Distribution 4 Formulas article The 2 Parameter Binomial Discrete Distribution 4 Formulas article The 4 Parameter Beta Distribution 7 Formulas article The 2 Parameter Normal Distribution 7 Formulas article 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. See More 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. See More 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. See More 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? See More 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. See More Selecting Reliability Engineering Tools The selection hinges on knowing what is available, understanding the current situation, and available information, plus ... See More 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. See More 6 Essential Reliability Engineering Formulas Using a formula requires understanding the purpose, limitations, and assumptions involved. It also requires using the right formula. See More Reliability as a Process The idea is to explore in detail why we think achieving reliability objectives is best done using a process approach. See More 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. See More 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. See More 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 See More 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. See More Linking Customer Needs to Product Requirements and Robust Design See More The post 6 Essential Reliability Engineering Formulas appeared first on Accendo Reliability.

Reliability Analysis … now what? Part 2 podcast episode with speaker Chris Jackson Last month's webinar was Reliability Analysis now what?' And we showed how to slightly tweak' all those textbook reliability analyses into USEFUL ACTIVITIES. What good is a 90 % confidence bound on reliability? What does this mean for profit? Or fleet size? Or mission success? We solved this problem by identifying the ‘likely’ ways we can explain our data. In fact – there is a whole bunch of statistics on creating the ‘likelihood’ of an explanation of what we see. We use this ‘likelihood’ in most statistical applications – including those USEFUL ACTIVITIES we discussed above. But what is this ‘likelihood’? What does it mean – particularly if I am trying to analyze data and turn it into something useful? Well … finding this likelihood ‘thing’ is much simpler than it sounds. And it is essential to turn a random bunch of failure data points (or something similar) into something you can base a decision on. So, in this webinar, we will show what this ‘thing’ is and how to turn any reliability data into that likelihood. Which is the next step on your journey to providing useful information to your decision-maker? Which also means YOU become more valuable! This Accendo Reliability webinar originally broadcast on 22 September 2020. Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content Markov Chain Modeling Just the Basics episode Regression Metrics episode Reliability Engineering and AI episode How do I Test my Data for Normality? article 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 Reliability Analysis … now what? Part 2 appeared first on Accendo Reliability.

Essential Reliability Engineering Techniques podcast episode with speaker Fred Schenkelberg The difficult part of creating this list of essential techniques is to avoid selecting just the most common. There is an overlap between essential and those commonly used, yet essential implies a technique is crucial crucial in rare yet very important situations. The idea for today’s discussion is to focus on those vital few techniques that every reliability engineer must master. The techniques I’ve settled on are not specific tools in most cases. Instead, they are the fields of knowledge or practice. For example, instead of suggesting that Weibull analysis is essential, I suggest that math skills are essential. You can do a wide range of analysis and modeling with sufficient math prowess. Your science, engineering, and math formal training will serve you well as a reliability engineer, and that is not sufficient to be successful. Not every problem involves using a math technique, although it is common. You also need to master techniques in failure analysis and experimentation. Plus, please do not forget that we work with others,; the essential techniques of persuasion and team building are likewise vital. Let’s discuss this shortlist of essential techniques, consider why I suggest they are essential, and explore others that you consider essential. This Accendo Reliability webinar originally broadcast on 8 September 2020. Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content Reliability Methods list Why Do We Use Outdated Methods episode What to Do to Avoid Outdated Methods episode Pros and Cons of Different RCA Methods with Shon Isenhour episode Advanced versus Traditional Methods 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. See More 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. See More 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. See More 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? See More 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. See More Selecting Reliability Engineering Tools The selection hinges on knowing what is available, understanding the current situation, and available information, plus ... See More 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. See More 6 Essential Reliability Engineering Formulas Using a formula requires understanding the purpose, limitations, and assumptions involved. It also requires using the right formula. See More Reliability as a Process The idea is to explore in detail why we think achieving reliability objectives is best done using a process approach. See More 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. See More 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. See More 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 See More 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. See More Linking Customer Needs to Product Requirements and Robust Design See More The post Essential Reliability Engineering Techniques appeared first on Accendo Reliability.

Reliability Analysis … now what? podcast episode with speaker Chris Jackson Let's say that you have some reliability guys' do some reliability analysis on reliability data and they give you some numbers. Or a plot. Or a curve. Perhaps you are the reliability guy and you do the analysis and then what? How do you use that probability plot to help you make a decision? How do you use confidence bounds, p' values, standard deviations, and so on to help you make a decision? The three most important things for reliability analysis are the decision,' the decision,' and the decision.' So, how do you convert reliability data analysis into useful information for that decision? uncertainty and all? This webinar is for you! This Accendo Reliability webinar originally broadcast on 25 August 2020. Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content Using Failure Analysis to Improve Equipment Reliability episode Analysis vs Test for Reliability Work episode Reliability Verification Testing and Analysis in Engineering Design book Why is Reliability a Process? episode Break the “we’ve always doen it this way” cycle Let's explore how to create plans and testing that actually helps your team improve the reliability of the products. See More 3 Steps to Improve Your Reliability Culture The reliability culture is about how individuals make decisions. Let's lay out how to improve the culture around reliability decisions. See More Reliability Analysis … now what? So how do you convert reliability data analysis into useful information for that decision? you do the analysis and then what? See More Fixing the Irrelevance of Reliability Let's discuss how can you make reliability relevant in your organization - plus a few ways to know it is not relevant. See More The Good, the Bad, and the Ugly Reliability Discussions Let's examine examples, how to shift all conversations into the good' category, and how those around us talk about reliability matters. See More Reliability Occurs at the Point of Decision It is by focusing on the key decisions that most influence the reliability of a product that we add the most value through our work. See More The post Reliability Analysis … now what? appeared first on Accendo Reliability.

Practical Use of Stress-Strength Models to Develop Specifications podcast episode with speaker Rob Schubert Warranty returns are a great place to start for setting targets for new products. But how do you translate that to specific numbers to design to? If you know the strength of a product and the return rate, you can develop stress profiles. If you have multiple similar products, your estimates can be even better. From the profiles, targets can be developed for future products to meet and use them to calculate the expected return rates. You can even use these profiles to estimate the impact of design changes to warranty returns. This Accendo Reliability webinar originally broadcast on 18 August 2020. Practical Use of Stress-Strength Models to Develop SpecificationsFred Schenkelbergshare Social: Link: Embed: https://episodes.reliability.fm/arw/stress-strength-models.mp3 Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content Strength-Stress with Limited Information episode Designing Components for Strength and Fatigue article Reliability in Product and Process Development article Product Reliability Design Guidelines 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