Accendo Reliability Webinar Series

Using Monte Carlo Simulation to Make Hard Reliability Analyses Easy podcast episode with speaker Chris Jackson Sometimes the equations we need to model reliability are just so complicated that we simply avoid them, or use other equations that are simpler but model the wrong thing (see some of my earlier webinars!). But it doesn't have to be this way. Monte Carlo simulation is so simple that anyone who has access to Microsoft Excel can use it. What this means is that we don't need to use complicated equations (like those use to model things like switching systems) and instead can use Microsoft Excel to help us get approximate (but really accurate) answers. Sound interesting? Join us for this webinar! This Accendo Reliability webinar was originally broadcast on 23 April 2024. Download RSS To view the recorded video/audio and PDF workbook of the event, visit the webinar page. Additional content that may be of interest When to do Monte Carlo episode Use of Monte Carlo Simulation in Reliability episode What is a Monte Carlo Analysis with Fred Schenkelberg episode Reliability Modeling using Monte Carlo 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 Using Monte Carlo Simulation appeared first on Accendo Reliability.

Fundamentals of Control Charts podcast episode with speaker Fred Schenkelberg On one of my first vendor visits, they proudly showed us the control charts behind glass near the conference room. They were nicely printed, all in perfect control, and rather odd. A control chart belongs on the production line, where the operators make the measurements. They are of little value when automatically collected and printed out once a month for display-only purposes. Statistical control charting (SPC) is a method for monitoring and determining whether a process is in control or stable. It permits the team to identify opportunities for process improvement and provides the necessary evidence that a process is in control, if it actually is, as a prerequisite for calculating process capability. Let's discuss control charts and how best to employ them. We will also examine how valuable an SPC program can be for the organization and customers. This Accendo Reliability webinar was originally broadcast on 9 April 2024. Download RSS To view the recorded video, visit the webinar page. Related content: SPC Process Control course Pre-Control Charts article Statistical Process Control Overview article Introduction to Control Charts article SPC Sample Size Impact on SPC In this webinar, we explore the impact that chart selection and sample size have on chart sensitivity (the ability to detect changes). See More Reliability and Statistical Process Control Let's explore some cases where effectively using statistical process control will enhance your product's reliability performance. See More Understanding and Controlling Process Variation Let's discuss process variation and how to measure, monitor, and control processes to minimize the differences from one part to the next. See More 10 Keys for Maximizing the Benefits of Your SPC Program Progressive manufacturers use control charts to listen to their processes to detect and rectify potentially harmful changes. See More How do I link Process Capability Indices to Number (PPM) Defects? if you need to learn a bit more about manufacturing and how we measure quality in general? Join us for this webinar. See More What is Statistical Process Control or SPC? You may have heard of Statistical Process Control, 6-sigma, Shewhart, the Japanese Economic Miracle, X̅ R Charts or perhaps none of them. See More What is Process Capability Analysis (PCA)? A process is considered capable' if it creates products that, with production natural variation, are still within what good' looks like. See More Fundamentals of Control Charts Statistical control charting (SPC) is a method for monitoring and determining whether a process is in control or stable. See More Fundamentals of Process Capability Let's explore the steps necessary to obtain valid and valuable process capability ratios. Then, let's examine how to use this information. See More The post Fundamentals of Control Charts appeared first on Accendo Reliability.

AI Product Development and Deployment podcast episode with speaker Greg Hutchins AI is or will be integrated into every product and service. The world of AI product development is really confusing. What is required? What are good practices? What's next? Greg will discuss the critical architecture and design practices that need to be considered in AI product development and deployment. Why should you attend? AI knowledge, skills and abilities are now recognized as a prerequisite for continued employment, development, and promotion for ALL knowledge workers. In this webinar, Greg will discuss: What is an AI product? What are the requirements for AI integration into products and services? What is the state of AI product development? What are the 3 key questions in AI product dev? What is the lens for understanding AI product dev? What can quality and reliability professionals do NOW to understand AI product dev and increase their employability? This Accendo Reliability webinar was originally broadcast on 2 April 2024. Download RSS To view the recorded video, visit the webinar page. Related content: Asset Performance in the era of Artificial Intelligence episode Learnings from Three Years of Implementing Artificial Intelligence with Vinodh Rodrigues & Xiaozhou Wang episode RRP 035 Artificial Intelligence Primer with Adam McElhinney episode Blair Fraser Artificial Intelligence & Machine Learning episode Introduction: AI & Predictive Maintenance 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 AI Product Development and Deployment appeared first on Accendo Reliability.

The MTBF and Modeling System Reliability podcast episode with speaker Chris Jackson The Mean Time Between Failure (MTBF) appears in lots of textbooks and standards, so it must be really important right? Well, not really. The MTBF is the most overused and misunderstood term in reliability engineering, including system reliability modeling, where we can find textbooks and standards with equations that allow you to calculate system MTBF from component MTBFs. If you are unsure why the MTBF is bad, especially for system reliability modeling, then join us for this webinar, where we will illustrate with pictures (not equations) what the MTBF is and how bad it can be to focus on it as a reliability performance metric. This Accendo Reliability webinar was originally broadcast on 26 March 2024. Download RSS To view the recorded video/audio and PDF workbook of the event, visit the webinar page. Additional content that may be of interest Only Have MTBFs episode How Do I Do MTBF Testing episode What’s Wrong with MTBF episode How to Talk About MTBF episode 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. See More 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. See More 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. See More 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. See More 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. See More 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 See More 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. See More The MTBF Sucks. Here’s Why. See More The post The MTBF and Modeling System Reliability appeared first on Accendo Reliability.

Fundamentals of Safety Margins podcast episode with speaker Fred Schenkelberg One way to create a robust product or system is to consider all the stresses and design to withstand those stresses. We often do not know all the stresses, magnitudes, and ranges of variation. We know that many materials degrade with time, yet we do not know precisely how much or how fast. We also do not know what new stresses may arise or how stresses will change over time. With so many unknowns, we turn to safety margins to address the unknowns. The process is simple enough, meaning we will design a product to withstand more stress than we expect. For example, if designing a bracket that is expected to carry a 100-pound load, we design a bracket capable of withstanding a 200-pound load. That doubling of capability is a 2x safety margin. Let's examine safety margins and why they are one method to design robust products that also improve product reliability performance. This Accendo Reliability webinar was originally broadcast on 12 March 2024. Download RSS To view the recorded video, visit the webinar page. Related content: Reliability and Safety episode Process Safety Management with Paul Daoust episode The Link between Reliability and Safety with Ron Moore episode Safety Factor article Margin of Safety Definition and Examples Used in Safety Basis Documents and the USQ Process article   Fundamentals of Hazard Analysis Let's discuss the basic definition(s) of hazard analysis, and review the basic approach to accomplish the analysis. See More Reliability and Safety Let's explore the overlap and differences between a safe and a reliable product or system, plus how reliability contributes to safety. See More Fundamentals of Safety Margins Let's examine safety margins and why they are one method to design robust products that also improve product reliability performance. See More The post Fundamentals of Safety Margins appeared first on Accendo Reliability.

How to Get Unstuck: Do Good. Be Happy. podcast episode with speaker Greg Hutchins In this presentation, Greg Hutchins will explain how to Get Unstuck: Do Good. Be Happy based on the Working It book (4.9/5.0 stars on Amazon). Today's Linkedin review: A wonderful book by a great author. A must recommend for those who are looking to enhance their skills in the VUCA world. Ankur Tyagi VUCA is an acronym for Volatility, Uncertainty, Complexity, Ambiguity. We invented the term VUCAN® an acronym for VUCA iNhabitant. Why? We're now all VUCANs having to deal with today's uncertainty. Greg Hutchins will cover the following: 1. What life questions were critical 15 years ago? 2. What life and work questions are top of mind today? 3. How do you deal with today's uncertainty? 4. How do you decide how to decide? 5. How are you getting your stuff done? 6. What is your risk tolerance? 7. How can you thrive in today's risky world? This Accendo Reliability webinar was originally broadcast on 5 March 2024. Download RSS To view the recorded video, visit the webinar page. Related content: Get Unstuck: Expand and Contract Our Problem episode Get Unstuck: Reframe Our Problem 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 How to Get Unstuck appeared first on Accendo Reliability.

Reliability of a K out of N' System podcast episode with speaker Chris Jackson We often use the term system reliability modelling' to describe any scenario where we need to somehow convert what we know about component reliability into system reliability in order to make a decision. Some of us might have heard of series systems' that have no redundant components, meaning that the system fails when any component fails. Then there are parallel systems' where the system fails when the last component fails. But then 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. Do you know when K out of N' system reliability looks like series system reliability? or parallel system reliability? or perhaps you don't know what series or parallel system reliability looks like? Then this webinar is for you. This Accendo Reliability webinar was originally broadcast on 27 February 2024. Download RSS To view the recorded video/audio and PDF workbook of the event, visit the webinar page. Additional content that may be of interest K out of N Systems episode RM 135: A Conversation with Dr. Zach Peterson about Board Design Best Practices episode Maintenance and Reliability Best Practices: Block Diagrams article/video Understanding Reliability Block Diagrams article The True Importance of Reliability Block Diagrams 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. See More Fundamentals of RBD Reliability Block Diagrams are a useful and simple tool to encourage reliability discussions and improved decisions. See More 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. See More 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. See More 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. See More 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.' See More 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. See More 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. See More 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. See More What are ‘Cut Sets’? See More The post Reliability of a K out of N' System appeared first on Accendo Reliability.

Fundamentals of Lessons Learned podcast episode with speaker Fred Schenkelberg Within an organization or a team, we collectively know a lot. We, again collectively, have a wealth of information. And, if you follow my Mom's advice, we learn something new every day. We also forget a lot every day. When we forget something that we learned by making a mistake or error (learning the hard way), we are prone to repeat that mistake or error. Organizations and teams also learn the hard way at times. Or someone recognizes a better way to accomplish something. Organizations also forget what they have learned. Either collectively, the organization's members forget' the lesson learned, or the folks that do remember the lesson move on to a new role elsewhere. For an organization, there is significant value in avoiding repeating previous mistakes or in continuing to benefit from a better way. Let's discuss the idea and basics of a lessons-learned system. Plus, a few examples of how such systems go wrong. We will examine how FRACAS and CAPA systems are different. And finally, we will outline the best lesson-learned system I've seen in action. This Accendo Reliability webinar was originally broadcast on 13 February 2024. Download RSS To view the recorded video, visit the webinar page. Related content: Mechanical Lessons Learned episode Lessons Learned from Coffee Pod Stories episode Lessons Learned as a Process Engineer episode Lessons Learned Working From Home episode Lessons Learned from a Contract Manufacturer & Their Customer Who Sued Them episode Introduction to Reliability Engineering Management A brief introduction to reliability engineering management. Including an overview of key elements and approaches commonly found. See More Reliability Projects and Programs Let's explore how you can improve the overall program and deliver on your project. Specifically, what's with cost and procurement? See More Fundamentals of Lessons Learned Let's discuss the idea and basics of a lessons-learned system. Plus, a few examples of how such systems go wrong. See More The post Fundamentals of Lessons Learned appeared first on Accendo Reliability.

Risk 101: Future of Quality podcast episode with speaker Greg Hutchins We've evangelized for more than 20 years that the future of quality and its related disciplines, including reliability, will be risk-focused. Why? We're living in a time of uncertainty and risk. Understanding and managing risk is important for quality and reliability professionals solving tough problems and making hard decisions. Risk management is moving into statute for many sectors. A few examples may illustrate this. A few weeks ago, the EU mandated risk-based analysis and risk management of ALL critical AI systems. Last month, The US White House sent a notice to all Federal agencies to inventory their AI systems and prepare for mandatory AI risk assessments. ISO requires risk-based audits of certified management systems. The list goes on. In this webinar, Greg will discuss the following: What is risk? Why risk is the Future of Quality? How do you manage risk? How do you architect, design, deploy, and assure risk management effectiveness? What are ways to measure risk? How can you become a risk professional and make more money? This Accendo Reliability webinar was originally broadcast on 6 February 2024. Download RSS To view the recorded video, visit the webinar page. Related content: What is the Future of Quality? with Dianna Deeney episode Restarting Quality episode Quality Disrupted book Annette Davison Ph.D Future of Work Risk Management article The Evolution of the Quality Function with Keith Fong 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 Risk 101: Future of Quality appeared first on Accendo Reliability.

What is WeiBayes Analysis? podcast episode with speaker Chris Jackson Some of us might have heard of the Weibull distribution. Some of us might have heard about Weibull analysis. Weibull analysis uses the Weibull distribution to help us visualize failure data in a really useful way. We can see' if our product is wearing out. We can see if our product is wearing in. We can estimate how many things will have failed by certain times. We can do all manners of other wonderful reliability engineering' things through Weibull Analysis. But then there is WeiBayes Analysis.' It combines Weibull and Bayesian analysis ( I know that doesn't mean much to most people). It can be really useful if we know how' something we are testing fails. Because if we do, then we can essentially feed a certain parameter into the analysis to help it on its way. This means that we don't need as much data (always a good thing in reliability engineering). But there are quite a few catches. Interested in learning about Weibayes analysis? Join us for this webinar. This Accendo Reliability webinar was originally broadcast on 23 January 2024. Download RSS To view the recorded video/audio and PDF workbook of the event, visit the webinar page. Additional content that may be of interest Rational Assumptions episode Bayesian Statistics and Sample Sizes episode What is Weibull Distribution? episode Fundamentals of Weibull Analysis episode Weibull Analysis and Physics Trumps Mathematics 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 What is WeiBayes Analysis? appeared first on Accendo Reliability.