Accendo Reliability Webinar Series

Fred Schenkelberg
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Jul 12, 2019 • 0sec

What You Need to Know About MTBF

What You Need to Know About MTBF podcast episode with speaker Chris Jackson MTBF stands for mean time between failure.' This sounds intuitively easy to understand. But if you haven't taken the time to understand MTBF, and your organization relies on the reliability of its products, you are almost certainly in trouble. For example, it is statistically possible for almost all of your equipment or products to have failed by the MTBF. Did you know that? Most equipment and products age.' That is, they go through stages of infant mortality, useful life, and wear out. Did you know that just talking about MTBF (and nothing else) means that you are assuming that your equipment or products never age? Did you know that (by definition) it is impossible to understand when you should service your equipment based on the MTBF? This presentation is a simple introduction that doesn't use complex words to explain some of the basic concepts of reliability engineering. In particular, how things like MTBF are so easy to misunderstand and how relying on the easy' metrics does more harm than good. This Accendo Reliability webinar originally broadcast on 13 August 2019. Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content How to Talk About MTBF episode The Evil Ways of MTBF with Fred Schenkelberg episode Only have MTBFs episode Vendor MTBF Claim episode MTBF, Reliability, and the Curve 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 What You Need to Know About MTBF appeared first on Accendo Reliability.
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Jun 14, 2019 • 0sec

Fundamentals of Field Data Analysis

Fundamentals of Field Data Analysis podcast episode Once a product is launched, it's time to understand its performance. The design is done, and the assembly process is working. Now we can focus on answering the question: is the product hitting reliability targets or not? Thus, we do field data analysis. The basic process is to gather data, clean the data as best we can, conduct some form of analysis, and determine if the product meets reliability targets. Are the reliability estimates accurate? How can we make better estimates next time? Are all the failure mechanisms expected, or are we surprised by previous unknown failure mechanisms? The analysis is more than a statistical exercise. It relies on a fundamental understanding of the product, desired business objectives, failure analysis, customer perceptions of failure, and common sense. Let's talk about what you should be doing as you monitor the reliability performance of your product after launch. This Accendo Reliability webinar originally broadcast on 11 June 2019. Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content Ready to Use Field Data episode Challenges with Field Data episode Collecting Field Data Automatically episode ROI on Gathering Clean Field Data 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 Fundamentals of Field Data Analysis appeared first on Accendo Reliability.
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May 17, 2019 • 0sec

Fundamentals of Tolerance Analysis

Fundamentals of Tolerance Analysis podcast episode There are three approaches to setting tolerance limits for design elements. Each has ramifications for the eventual manufacturability and reliability performance design for manufacturability and reliability hinges on correctly setting design tolerances. If you want to create a reliable product, the work starts well before the first prototype arrives. The design decisions that involve materials, components, manufacturing processes, and product performance all involve understanding the capabilities and variations associated with each element in the design. The variability undermines a wonderful design, creating difficult-to-assemble and poor durability results. Understanding and addressing the range of variations within the final product permits the design team to optimize the design for performance, manufacturability, and reliability. Let's discuss the connection between tolerance analysis and reliability and the three approaches to setting tolerances. A brief introduction to the basic approaches and when to use which approach as you balance the needs of the design performance with available data. The process of setting tolerances is important. Getting it right often only takes a bit of awareness and the proper application of some simple techniques. This Accendo Reliability webinar originally broadcast on 14 May 2019. Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content Statistical Tolerance Analysis Basic Introduction ebook Why do Tolerance Analysis article Design Tolerances Based on Economics (Using the Taguchi Loss Function) episode Process Capability Analysis course Reliability and Tolerance Analysis Tolerance specification communicates the allowance for part variation. Variation happens, and when it is within what we expect, great. See More Creating Meaningful Reliability Predictions Early and often during product development, the team needs to know the expected and meaningful reliability prediction of the current design. See More Reliability Integration into the Product Development Process One of the challenges for reliability engineering in product development is reliability integration into the product development process. See More Process Capability, Tolerance, and Reliability How a focus on variability with process control, process capability and tolerances helps to improve reliability. See More Fundamentals of Stress-Strength Analysis How a focus on variability with process control, process capability and tolerances helps to improve reliability. See More Fundamentals of Human Factors If a person is not able to interact with your product, with or without the manual, they may consider your product a failure. See More Using Available Weather Data How to find and analyze temperature readings over a 10 year period, create histogram and determine how many hours below freezing may exist. See More Fundamentals of Tolerance Analysis There are three approaches to set tolerance limits. Each has ramifications for the eventual manufacturability and reliability performance. See More Practical Use of Stress-Strength Models to Develop Specifications Warranty returns are a great start for setting targets for new products. But how do you translate that to specific numbers to design to? See More Fundamentals of Design for Reliability DFR is more than a set of tools or activities, let's explore the building of a reliability culture that support reliability thinking See More Fault Tolerance Fault tolerant design principles are the best approach to reliability. Or not. It depends on your design challenges. See More Helping Products Survive Transportation Besides building your product inside your customer's facility, your product requires transportation to move your product. See More What is Reliability Growth? This webinar introduces you to the topic of reliability growth (both qualitative and quantitative) along with key concepts See More Design for Reliability – Stressors I will discuss the identification of conditions that cause materials to degrade. Understanding stressors is good for design for reliability See More Fundamentals of Derating See More The post Fundamentals of Tolerance Analysis appeared first on Accendo Reliability.
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Apr 12, 2019 • 0sec

Fundamentals of Monte Carol Analysis

Fundamentals of Monte Carlo Analysis podcast episode The survival of an individual item is difficult to determine. Use and environmental conditions, along with material and assembly differences, count. Let's explore how to model and use the naturally occurring variability to improve reliability performance. The Monte Carlo method is a relatively simple process that permits you to create models that include naturally occurring variability. The work of reliability engineers involves a wide range of topics and questions, two of which benefit from using Monte Carlo modeling: tolerance analysis and product life estimation. Let's first define the Monte Carlo method and provide a basic overview of what is necessary to create such a model for any situation. Then, let's explore a couple of examples for life estimation and tolerance analysis. Finally, we can dive into where and how to get the necessary variation and distribution information to make this work. There is a spectrum to engineering modeling work, from educated guesses to deterministic modeling. Along with this spectrum, the need for more information and understanding increases. We can select a number out of the air' for a guess, yet we may need a precise polymer chain length for a diffusion rate model. The Monte Carlo method is flexible enough to incorporate engineering guesses when no better data is available, yet permits the use of detailed observations and deterministic models of failure mechanisms when available as well. This is a tool that you should use when it makes sense. Understanding how the method works and when and where it applies will help you apply this powerful approach when it is the right method. This Accendo Reliability webinar originally broadcast on 9 April 2019. Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content Use of Monte Carlo Simulation in Reliability episode What is a Monte Carlo Analysis with Fred Schenkelberg episode Using RAM Models in Contracts article Reliability Engineering for Heavy Industry course 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 Fundamentals of Monte Carlo Analysis appeared first on Accendo Reliability.
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Mar 16, 2019 • 0sec

Using Available Weather Data

Using Available Weather Data podcast episode The local weather affects your products and systems. Knowing the weather helps you plan your wardrobe for the day. Likewise, knowing the weather helps you design a product or system that can thrive in the weather conditions it will experience. The US National Oceanic and Atmospheric Administration (NOAA) tracks, records, and studies weather and climate. It is the recording part that is interesting in this discussion. The weather databases have weather observation data going back, in some cases, a hundred years. The data includes temperatures, humidity, precipitation, wind speed, and more. When building an environmental manual that includes the set of expected weather and use stresses, we need more than just the minimum, average, and maximum values. Better would be a histogram or similar analysis of the expected values. For example, if your product at cold temperatures degrades in performance, knowing how many hours per year it will experience cold temperatures is useful information. One way to gather and provide this rich data is by visiting the NOAA weather databases. Having done this recently, I wanted to share my notes on how to find, extract, organize, and analyze the weather data step by step. I spent a bit of time sorting out how to do this and would like to save you the time involved in sorting it out yourself. Let's explore in detail how to find, extract, and analyze hourly temperature readings over a recent 10-year period, with the result being a histogram and determination of how many hours below freezing may exist for an imaginary product. This Accendo Reliability webinar originally broadcast on 12 March 2019. Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content Variability of Weather Data episode Environmental Testing episode Environmental Stress Testing for Robust Designs episode The DFE Part of DFX (Design For Environment and eXcellence) episode High Temperature Environmental or Reliability Testing episode Reliability and Tolerance Analysis Tolerance specification communicates the allowance for part variation. Variation happens, and when it is within what we expect, great. See More Creating Meaningful Reliability Predictions Early and often during product development, the team needs to know the expected and meaningful reliability prediction of the current design. See More Reliability Integration into the Product Development Process One of the challenges for reliability engineering in product development is reliability integration into the product development process. See More Process Capability, Tolerance, and Reliability How a focus on variability with process control, process capability and tolerances helps to improve reliability. See More Fundamentals of Stress-Strength Analysis How a focus on variability with process control, process capability and tolerances helps to improve reliability. See More Fundamentals of Human Factors If a person is not able to interact with your product, with or without the manual, they may consider your product a failure. See More Using Available Weather Data How to find and analyze temperature readings over a 10 year period, create histogram and determine how many hours below freezing may exist. See More Fundamentals of Tolerance Analysis There are three approaches to set tolerance limits. Each has ramifications for the eventual manufacturability and reliability performance. See More Practical Use of Stress-Strength Models to Develop Specifications Warranty returns are a great start for setting targets for new products. But how do you translate that to specific numbers to design to? See More Fundamentals of Design for Reliability DFR is more than a set of tools or activities, let's explore the building of a reliability culture that support reliability thinking See More Fault Tolerance Fault tolerant design principles are the best approach to reliability. Or not. It depends on your design challenges. See More Helping Products Survive Transportation Besides building your product inside your customer's facility, your product requires transportation to move your product. See More What is Reliability Growth? This webinar introduces you to the topic of reliability growth (both qualitative and quantitative) along with key concepts See More Design for Reliability – Stressors I will discuss the identification of conditions that cause materials to degrade. Understanding stressors is good for design for reliability See More Fundamentals of Derating See More The post Using Available Weather Data appeared first on Accendo Reliability.
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Feb 17, 2019 • 0sec

Improve Your Reliability Teaching Skills

Improve Your Reliability Teaching Skills podcast episode As a reliability professional, you will be asked to teach. You are part teacher, coach, mentor, and expert. Being effective enhances the understanding of reliability objectives and methods to achieve them.  Let's explore becoming an amazing teacher. Teaching is not limited to a formal classroom setting. You may find yourself explaining reliability concepts, the failure mechanism’s nature, or HALT’s basic tenets in meetings or hallway discussions. You will provide information to your peers, staff, and management. You may be providing guidance or instruction daily. Our ability to influence decisions that improve product or system reliability performance relies on our ability to build trust and provide valuable information. Conveying complex concepts or topics is not easy, even with someone's full attention and desire to learn. Recognizing when an opportunity to teach and using a suitable approach to improve the ability of the student' allows them to hear, internalize, and apply the concepts and procedures taught.  Let's explore various approaches to providing someone else with information or guidance. Understanding the range of teaching approaches allows you to fit the appropriate approach to the specific situation and your organization's culture. We will discuss common teaching opportunities we run across as a reliability professional and the common reasons we are prompted to provide teaching. We will focus on teaching approaches. Guided discovery, the Socratic method, just in time or next step, a common goal or enemy, and 3 types of consulting (trusted advisor, expert, or pair of hands) are just a few of many methods you can use in your teachable moment. This Accendo Reliability webinar originally broadcast on 12 February 2019.   Improve Your Reliability Teaching SkillsFred Schenkelbergshare Social: Link: Embed: https://episodes.reliability.fm/arw/teaching-skills.mp3 Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content Teaching Reliability episode Teaching Reliability Part 2 episode The Future of Reliability Engineering article Where is Reliability Training Going? episode We Are All Consultants 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
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Jan 12, 2019 • 0sec

Fundamentals of Physics of Failure

Fundamentals of Physics of Failure podcast episode A good physics of failure (PoF) model helps you understand the impact of stresses on the time-to-failure distribution for a specific failure mechanism. Let's discuss PoF models, including how to create and use them effectively. The development of PoF models got off to a slow start in the 1960s. Recently, scientists and engineers have developed numerous PoF models for many of the common failure mechanisms we face in our products. Let's define a PoF model and how to create a model with a specific failure mechanism. Plus, let's explore how to find and adapt models in the literature. While not every failure mechanism will have a suitable model, those provide a quicker analysis of failure risks for your product. Your team can consider design changes, changes in material, assembly changes, or changes to environmental protection and quickly assess the impact (good or bad) on the expected time to failure distribution. A mixture of models allows you to model the many competing threats to your product's successful operation over time. Combining these models with differences in use or environmental stresses across your customer base permits modeling the effective field reliability performance. Let's consider PoF models, how to use them, plus how to create them as a central element of your reliability program. We'll discuss a range of models and where you can find more to help describe your salient failure mechanisms. This Accendo Reliability webinar originally broadcast on 8 January 2019.   Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content Deeper Dive into Failure Mechanisms episode Weibull Analysis and Physics Trumps Mathematics episode What Does Physics Have to Do with Reliability episode   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 Fundamentals of Physics of Failure appeared first on Accendo Reliability.
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Dec 16, 2018 • 0sec

Fundamentals of Reliability Related Standards

Fundamentals of Reliability-Related Standards podcast episode Standards provide guidance, a common language, and a bit of confusion. Using the right standard and using it well can help your reliability program. Using standards poorly will harm your ability to create reliable products. Let's consider the good, the bad, and the total fails of industry standards. Some provide useful information. While a few common ones should be avoided. There is a wide range of sources of standards for different industries and applications. Some standards provide detailed procedures, while others outline approaches. In general, standards provide a common way for organizations to talk to each other and conduct business. Many standards do not provide background or boundaries on under what circumstances the standard applies. This leads to the misapplication of standards and misleading results. Some standards provide little more than that found in an engineering or statistical textbook at much more cost. Yet others provide details not found elsewhere. Let's discuss standards, including where to find them, how to use them, and a few stories about how standards use leads to reliability problems. This Accendo Reliability webinar originally broadcast on 11 December 2018.   Download RSS To view the recorded video/audio of the event visit the webinar page. Related Content Industry Standards Explained with Leo Lambert episode Where are FMEAs (and their standards) Heading? episode Reliability Prediction Standards episode Thoughts on ISO Standards episode Why Look to Standards episode Fundamentals of Reliability Related Standards Using the right standard well can help your reliability program. Using standards poorly will harm your ability to create reliable products. See More Interpreting Standard Testing Results I have yet to find a standard test procedure that details what specific materials and failure mechanisms the test is applicable to. See More ISO 42001 10X Bigger Than ISO 9001 ISO 42001 is the new (FDIS) management system standard. Learn how to reposition your work/career/job for this new opportunity. See More Using ISO 31000 for Risk Based, Decision Making you will be able to use the standard to develop your own framework for risk-based, problem-solving, and risk-based decision-making. See More The post Fundamentals of Reliability Related Standards appeared first on Accendo Reliability.
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Nov 17, 2018 • 0sec

Fundamentals of Reliability Testing

Fundamentals of Reliability Testing podcast episode Testing is expensive. Reliability testing is often complex. Let's break down the basics of planning and conducting reliability testing that provides meaningful results cost-effectively and timely. Let's do testing right. Reliability testing includes a broad category of product testing. Generally, it includes evaluations determining if an item functions as expected over some duration under some conditions or stresses. Reliability testing may include out-of-box or installation activities, environmental testing, testing to failure, or accelerated life testing. The core of any reliability testing is a question to answer. The work often focuses on determining if a design is robust or durable enough for the intended use and market. When preparing to conduct testing, remember that the results provide information to inform a decision. Let's discuss an approach to reliability testing that focuses on creating useful and meaningful results, thus enabling correct decisions concerning the product and its future performance. For any testing, especially reliability testing, there are a few basic steps to ensure the testing will meet the needs of those making decisions based on the results. We will also discuss when it is appropriate not to conduct testing and how to appropriately characterize the risks surrounding the testing itself and interpret the results. Join this lively and interactive webinar and learn how to improve your reliability testing program. This Accendo Reliability webinar originally broadcast on 13 November 2018.   Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content Results-Driven Decisions, Faster: Accelerated Stress Testing as a Reliability Life Test episode 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. See More 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. See More 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. See More 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. See More Fundamentals of Ongoing Reliability Testing See More Fundamentals of Success Testing See More Fundamentals of Environmental Testing See More The post Fundamentals of Reliability Testing appeared first on Accendo Reliability.
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Oct 12, 2018 • 0sec

Fundamentals of Human Factors

Fundamentals of Human Factors podcast episode People use your product and assemble, move, and store it. If someone cannot interact with your product, with or without the manual, they may consider your product a failure. Designing in the ability for an individual to use your product properly is the art of considering human factors. Human factors and hardware and software elements of your product are the three main considerations within system reliability. Every interaction with a person has design considerations that, done well, create an easy and enjoyable product to use. From the design of knurls on buttons or handles to the location of the power switch, from the enclosure size to the location of lift handles, from screen brightness to the size of on-screen text, and an amazing array of elements of a product requires consideration of how a person will use or misuse your product. Let's discuss some basic elements of human factors, where you can find more information to improve your design, and how to gather relevant information to enhance your product. Human factors done well improve your product's reliability performance. While I'm not a human factors design expert, I've learned a few things over the years. Bring your questions and favorite human factor tips, best practices, and disasters for this fun, interactive event. This Accendo Reliability webinar originally broadcast on 9 October 2018.   Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content Solving Human-Caused Failure Problems article Designing for Safety: Human Errors article Comparing Human and Machine Capability article Fishbone Diagram: A Supertool to Understand Problems, Potential Solutions, and Goals episode Reliability and Tolerance Analysis Tolerance specification communicates the allowance for part variation. Variation happens, and when it is within what we expect, great. See More Creating Meaningful Reliability Predictions Early and often during product development, the team needs to know the expected and meaningful reliability prediction of the current design. See More Reliability Integration into the Product Development Process One of the challenges for reliability engineering in product development is reliability integration into the product development process. See More Process Capability, Tolerance, and Reliability How a focus on variability with process control, process capability and tolerances helps to improve reliability. See More Fundamentals of Stress-Strength Analysis How a focus on variability with process control, process capability and tolerances helps to improve reliability. See More Fundamentals of Human Factors If a person is not able to interact with your product, with or without the manual, they may consider your product a failure. See More Using Available Weather Data How to find and analyze temperature readings over a 10 year period, create histogram and determine how many hours below freezing may exist. See More Fundamentals of Tolerance Analysis There are three approaches to set tolerance limits. Each has ramifications for the eventual manufacturability and reliability performance. See More Practical Use of Stress-Strength Models to Develop Specifications Warranty returns are a great start for setting targets for new products. But how do you translate that to specific numbers to design to? See More Fundamentals of Design for Reliability DFR is more than a set of tools or activities, let's explore the building of a reliability culture that support reliability thinking See More Fault Tolerance Fault tolerant design principles are the best approach to reliability. Or not. It depends on your design challenges. See More Helping Products Survive Transportation Besides building your product inside your customer's facility, your product requires transportation to move your product. See More What is Reliability Growth? This webinar introduces you to the topic of reliability growth (both qualitative and quantitative) along with key concepts See More Design for Reliability – Stressors I will discuss the identification of conditions that cause materials to degrade. Understanding stressors is good for design for reliability See More Fundamentals of Derating See More The post Fundamentals of Human Factors appeared first on Accendo Reliability.

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