Accendo Reliability Webinar Series

Fred Schenkelberg
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Sep 26, 2018 • 0sec

Fundamentals of Stress-Stress Analysis

Fundamentals of Stress-Strength Analysis podcast episode If your product is stronger than the applied stress, it should work. The stress/strength relationship concept is well known, but did you know stress and strength change over time? Let's use the best information and tools for this analysis. The key idea of stress/strength or derating for electrical engineers is to design a product using materials and components with the suitable strength to withstand the stress condition experienced over the expected duration of use. The term margin refers to the distance between the minimum strength and expected maximum stress. We know failures are more likely to occur when little or no margin exists. Let's discuss the information necessary to understand the expected stress and the strength and how both will change over time. There are several ways to estimate failure rates depending on your available data. The better your data, the better your estimates. The engineers doing the design work select the materials and components and need the best available understanding of stress and strength and how they change over time to design in reliability right from the start. While desirable to get data for every material type and component and every possible applied stress, that just isn't feasible. So, let's also talk about a few strategies to narrow the focus to the critical few that require the best possible data for a stress/strength analysis. As always, this webinar will be very interactive, with plenty of prompts for your comments and questions. So, bring your questions and problems around applying stress/strength concepts. Let's discuss how you can improve your product's design with a better analysis. This Accendo Reliability webinar originally broadcast on 25 September 2018.   Download RSS To view the recorded video/audio of the event visit the webinar page. Related Content Strength-Stress with Limited Information episode How to Set Environmental Specifications for Testing episode Improving Fatigue Resistance article Test Reliability Targets and Expected Field Reliability article Reliability and Tolerance Analysis Tolerance specification communicates the allowance for part variation. Variation happens, and when it is within what we expect, great. See More Creating Meaningful Reliability Predictions Early and often during product development, the team needs to know the expected and meaningful reliability prediction of the current design. See More Reliability Integration into the Product Development Process One of the challenges for reliability engineering in product development is reliability integration into the product development process. See More Process Capability, Tolerance, and Reliability How a focus on variability with process control, process capability and tolerances helps to improve reliability. See More Fundamentals of Stress-Strength Analysis How a focus on variability with process control, process capability and tolerances helps to improve reliability. See More Fundamentals of Human Factors If a person is not able to interact with your product, with or without the manual, they may consider your product a failure. See More Using Available Weather Data How to find and analyze temperature readings over a 10 year period, create histogram and determine how many hours below freezing may exist. See More Fundamentals of Tolerance Analysis There are three approaches to set tolerance limits. Each has ramifications for the eventual manufacturability and reliability performance. See More Practical Use of Stress-Strength Models to Develop Specifications Warranty returns are a great start for setting targets for new products. But how do you translate that to specific numbers to design to? See More Fundamentals of Design for Reliability DFR is more than a set of tools or activities, let's explore the building of a reliability culture that support reliability thinking See More Fault Tolerance Fault tolerant design principles are the best approach to reliability. Or not. It depends on your design challenges. See More Helping Products Survive Transportation Besides building your product inside your customer's facility, your product requires transportation to move your product. See More What is Reliability Growth? This webinar introduces you to the topic of reliability growth (both qualitative and quantitative) along with key concepts See More Design for Reliability – Stressors I will discuss the identification of conditions that cause materials to degrade. Understanding stressors is good for design for reliability See More Fundamentals of Derating See More The post Fundamentals of Stress-Strength Analysis appeared first on Accendo Reliability.
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Aug 18, 2018 • 0sec

10 Keys for Maximizing the Benefits of Your SPC Program

10 Keys for Maximizing the Benefits of Your SPC Program podcast episode by Steven Wachs Statistical Process Control charts have been called the Voice of the Process. Progressive manufacturers utilize control charts to listen to their processes so that potentially harmful changes will be quickly detected and rectified. However, not all SPC programs deliver to their highest capability as there are many elements to get right to achieve maximum utility.  Highly effective SPC programs combine technical competencies, such as using an appropriate chart and sample size for the application, with effective management techniques enabling operator buy-in and involvement.  This webinar identifies and describes ten keys that unleash the power of SPC. The Purpose of SPC Identifying Key Characteristics Validating Measurement Systems Selecting the Right Chart Control Limits and Specification Limits Effective Sampling Strategies Adequate Sample Sizes Automating SPC (Real Time) Empowering Operators Driving Process Improvement The participants will gain a high-level understanding of Statistical Process Control.  Ten important keys to maximizing the benefits of SPC in any company are described in detail.  The ten keys range from technical considerations to management practices.  Understanding these important factors will allow SPC to be implemented effectively so that the expected benefits may be realized. Bring your concerns, questions, and experience with stress screening to this discussion. This Accendo Reliability webinar originally broadcast on 16 August 2018.   Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content Selecting Control Charts article Statistical Process Control Overview article Chance of Catching a Shift in a Control Chart article 8 Steps to Creating an X-bar and s Control Chart article Why Understanding Statistical Process Control Is Important article SPC Sample Size Impact on SPC In this webinar, we explore the impact that chart selection and sample size have on chart sensitivity (the ability to detect changes). 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 10 Keys for Maximizing the Benefits of Your SPC Program appeared first on Accendo Reliability.
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Aug 14, 2018 • 0sec

Process Capability, Tolerance, and Reliability

Process Capability, Tolerance, and Reliability podcast episode Product failures may occur due to material or component variability. The steel in a bracket is more brittle than optimal, or the capacitance is on the low side of an acceptable range. Designing a product with variation in mind enables the creation of a reliable product. If there were no variation in material properties, component performance, or assembly techniques, products would work as designed. There is variation. Everything varies. Designers and engineers know this and must consider the expected variation of the elements that make up the product. Ideally, the design team would work with materials and components with well-characterized process capabilities. This knowledge partly permits the establishment of design specifications for the various elements that make up a product. Including tolerances with a design is this deliberate accounting for the expected or required maximum variation. The problems come when a designer establishes tolerances when the supporting processes cannot create items within the specified tolerances. The materials and components we use do not read the specifications. They have the variability they have regardless of wishful thinking or specifications. Creating a truly reliable product requires the design to balance functional performance, manufacturability, and robustness to variation. In this short webinar, let's talk about how process capability should influence designs such that the resulting product is reliable. Let's discuss the reliability engineer’s role in understanding and minimizing process variability while encouraging the design team to establish a robust design with as much variation as possible. Finding the right balance is essential to creating a product that is both producible and durable. Leave your concerns, questions, and experience with tolerancing. This Accendo Reliability webinar originally broadcast on 14 August 2018.   Download RSS To view the recorded video/audio of the event visit the webinar page. Related Content Confidence and Tolerance Intervals episode Design Tolerances Based on Economics (Using the Taguchi Loss Function) episode The Importance of Fit, Tolerance & Clearance article Root Sum Squared Tolerance Analysis Method article Worst Case Tolerance Analysis article Reliability and Tolerance Analysis Tolerance specification communicates the allowance for part variation. Variation happens, and when it is within what we expect, great. See More Creating Meaningful Reliability Predictions Early and often during product development, the team needs to know the expected and meaningful reliability prediction of the current design. See More Reliability Integration into the Product Development Process One of the challenges for reliability engineering in product development is reliability integration into the product development process. See More Process Capability, Tolerance, and Reliability How a focus on variability with process control, process capability and tolerances helps to improve reliability. See More Fundamentals of Stress-Strength Analysis How a focus on variability with process control, process capability and tolerances helps to improve reliability. See More Fundamentals of Human Factors If a person is not able to interact with your product, with or without the manual, they may consider your product a failure. See More Using Available Weather Data How to find and analyze temperature readings over a 10 year period, create histogram and determine how many hours below freezing may exist. See More Fundamentals of Tolerance Analysis There are three approaches to set tolerance limits. Each has ramifications for the eventual manufacturability and reliability performance. See More Practical Use of Stress-Strength Models to Develop Specifications Warranty returns are a great start for setting targets for new products. But how do you translate that to specific numbers to design to? See More Fundamentals of Design for Reliability DFR is more than a set of tools or activities, let's explore the building of a reliability culture that support reliability thinking See More Fault Tolerance Fault tolerant design principles are the best approach to reliability. Or not. It depends on your design challenges. See More Helping Products Survive Transportation Besides building your product inside your customer's facility, your product requires transportation to move your product. See More What is Reliability Growth? This webinar introduces you to the topic of reliability growth (both qualitative and quantitative) along with key concepts See More Design for Reliability – Stressors I will discuss the identification of conditions that cause materials to degrade. Understanding stressors is good for design for reliability See More Fundamentals of Derating See More The post Process Capability, Tolerance, and Reliability appeared first on Accendo Reliability.
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Jul 10, 2018 • 0sec

Fundamentals of Stress Screening

Fundamentals of Stress Screening podcast episode Stress screening, highly accelerated stress screening, and burn-in are expensive activities to avoid. Yet stress screening does have a valuable purpose in specific circumstances. Let's talk about when and why you may conduct stress screening. The environment is the weather around your product, yet what about the local environment for the power supply within your product? Does the environmental set of stresses change over time? Do the stresses of assembly, transport, storage, or use pose significant risks leading to failure? Screening of any sort is expensive. It is also prone to error. It is best avoided. Yet there are instances when screening, inspecting items in some fashion to determine suitability, adherence to specification, or sorting is the appropriate course of action. Adding stress adds cost and complexity to the process. It can quickly expose flaws, hidden defects, or imperfections. The selection of the stress is important. Selecting the wrong type and amount of stress may not hasten the objective or damage all of your screened items. Let's talk about stress screening, including why it is such a poor practice and why it should be avoided or stopped as soon as possible. Let's also discuss how to properly design and run a stress screening process, including how to select the appropriate stress, the amount of stress, the different ways to apply stress, the assumptions, and most importantly, how to avoid needing to stress screen in the first place. Bring your concerns, questions, and experience with stress screening to this discussion. This Accendo Reliability webinar originally broadcast on 10 July 2018.   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 Reliable Manufacturing Tool Selection episode Next Generation HALT and HASS book Monitoring Manufacturing Product Reliability episode Fundamentals of HALT Just the fundamentals of HALT in this fast-paced event. HALT has value, the four steps, and a few examples of how it can go wrong. See More Fundamentals of Stress Screening Stress screening does have a valuable purpose in specific circumstances. Let's talk about when and why you may conduct stress screening. See More What is Highly Accelerated Life Testing (HALT)? This webinar will introduce you to Highly Accelerated Life Testing (HALT) to help you and your organization identify the vital few quicker. See More The post Fundamentals of Stress Screening appeared first on Accendo Reliability.
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Jun 12, 2018 • 0sec

Fundamentals of Environmental and Use Conditions

Fundamentals of Environmental and Use Conditions podcast episode A complete reliability goal statement element involves a product's environment and use conditions. The ability to define these clearly during the design process is not always easy, yet a valuable addition to your reliability program. The environment is the weather around your product, yet what about the local environment for the power supply within your product? Does the environmental set of stresses change over time? Do the stresses of assembly, transport, storage, or use pose significant risks leading to failure? Also important is how often and how the customer uses the product. Are there different failure mechanisms posing a risk of failure when a product is not used often versus used often? Let's discuss building an environmental manual for a family of products, including which stresses to include. We'll also discuss connecting data collection efforts to specific failure mechanisms and ways to keep the list of environmental stresses relevant to your newest development efforts. Saying a product I used outdoors or in a computer center may convey the general idea. Yet, your design team, vendors, and your life testing work require understanding with sufficient detail where and how the product is likely to find itself in operation. Bring your questions, and let's discuss understanding the environment and use conditions that impact your product’s performance in your customers’ hands. This is more than just a batch of environmental tests and is much more useful. This Accendo Reliability webinar originally broadcast on 12 June 2018.   Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content Improving Reliability of Circuit Assemblies in Harsh Environments episode How to Fully Characterize the Environment episode Use and Environment Definitions episode Are Environmental Standards Useful? episode Establishing Reliability Goals Consider both your customer and business expectations to create meaningful goals to guide your team's reliability decisions. See More Fundamentals of Reliability Performance Monitoring An introduction to setting up and using reliability performance monitoring. Be sure to connect the metric to the decision you need to make. See More Fundamentals of Environmental and Use Conditions A basic discussion about the importance of environmental and use conditions for every reliability related decision See More Fundamentals of Reliability Goals Let's explore the elements that make up a reliability goal. Plus, the range of inputs you can use to define each element. See More Fundamentals of System Effectiveness See More What’s Wrong with Using ‘FITs’? See More Fundamentals of Allocation See More Fundamentals of Metric Monitoring See More What is Reliability? See More The post Fundamentals of Environmental and Use Conditions appeared first on Accendo Reliability.
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May 16, 2018 • 0sec

Fundamentals of Sample Size Determination

Fundamentals of Sample Size Determination podcast episode A common question about reliability testing is, What is the sample size? It is also a difficult question to answer well. The right sample size balances cost, accuracy, and variability. In some cases, we also consider the time to results. When planning reliability testing, an important task is to determine the necessary sample size. Too few samples and the results will be indistinguishable from statistical noise. Too many samples and the cost of testing becomes more than necessary. Understanding the basics of sample size calculations for various situations and approaches permits you to quickly estimate the right sample size given the information you have available. The first estimate often leads to discussions concerning the constraints, goals, and striking the right balance of samples and outcomes. Let's discuss the many challenges and solutions available for sample size determination. We'll examine a few situations, formulas, and best practices to determine the right sample size for each situation. Sample size starts as a statistical exercise and becomes a business/project conversation. Learning to determine sample size is a critical skill for reliability professionals. Let's talk about sample size determination and getting the fundamentals right. This Accendo Reliability webinar originally broadcast on 15 May 2018.   Download RSS To view the recorded video/audio of the event visit the webinar page. Related Content ALT Sample Size episode Extrapolation and Sample Sizes episode Reliability and Sample Size episode Three Considerations for Sample Size article Making Use of Reliability Statistics Let's find the motivation to use reliability statistics and find the resources to learn the statistical tools necessary to succeed. See More R Software and Reliability Let's explore R software's many capabilities concerning reliability statistics from field data analysis, to statistical process control. See More Reliability Distributions and Their Use Let's explore an array of distributions and the problems they can help solve in our day-to-day relaibility engineering work. See More Practical Application of DOE Perry discusses the basics of DOE (design of experiments) and fundamentals so you can get started with they useful product development tool. See More Fundamentals of Sample Size Determination Let's discuss the 6 basic considerations to estimate the necessary sample size to support decision making. See More Fundamentals of Measurement System Analysis When we make a measurement, we inform a decision. It's important to have data that is true to the actual value. See More Creating Effective Reliability Graphics One of the first things I learned about data analysis was to create a plot, another, and another. Let the data show you what needs attention. See More PDFs, CDFs, and other ‘Fs’ What the hell are they? If you want a really easy introduction or review of these functions that help inform a decision then check out this webinar. See More Discrete Distributions Sometimes we have to work out how many of them we need (if they make up a fleet) or how many spare parts we need to keep them running. See More Why We Use Statistics Let's explore the ways we use, or should use, statistics as engineers. From gathering data to presenting, from analyzing to comparing. See More How to Check a Regression Fit Let's explore what residuals are, where they come from, and how to evaluate them to detect if the fitted line (model) is adequate or not. See More Basic Mathematical Symbols and Stuff This webinar is a light (re)introduction into common mathematical symbols used in many engineering scenarios including reliability. See More Confidence in Reliability Reliability is a measure of your product or system. Confidence is a measure of you. But we often forget this. See More Practical Measurement Systems Analysis for Design How to calculate Gage discrimination - the more useful result for a design situation, and even how to use it for destructive tests. See More What is the Weibull Distribution? For those who conduct reliability data analysis or turning a jumble of dots (data points) into meaningful information See More Where does the Bell Curve come from? It is not just a pretty shape' that seems to work, It comes from a really cool physical phenomena that we find everywhere. See More Fundamentals of Hypothesis Testing Let's examine a handful of parametric and non-parametric comparison tools, including various hypothesis tests. See More Understanding (how bad) the Exponential Distribution (is) You need to have a good idea of the probability distribution of the TTF of your product when it comes to reliability engineering. See More What is the ‘3 Parameter’ Weibull Analysis See More What is the Lognormal Distribution See More Confidence is a Measure of You See More The post Fundamentals of Sample Size Determination appeared first on Accendo Reliability.
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Apr 11, 2018 • 0sec

Fundamentals of Weibull Analysis

Fundamentals of Weibull Analysis podcast episode The Weibull distribution is a versatile tool to analyze time-to-failure data. Like any tool, it could be wielded well or not so well. In this short webinar, let's discuss when and why you would use Weibull analysis, the basic process, and its limitations. Weibull analysis is very popular and has become a generic term for life data analysis. It is useful, has some nice features, and is easy to interpret. Yet, it has a dark side as well. Let's talk about the basic use of the distribution, when not to use it, and how to know when better tools are available. A great first step when faced with a pile of data is to plot it. Look at the data and get a sense of what story the data may have to tell. Another early step in any data analysis is to detail what question you are trying to answer. Are you looking for problems that you then can solve? Are you trying to understand the reliability performance of your product? Or something else? Let's discuss the fundamentals of Weibull analysis, including the basic approach, when and why you would do such an analysis, and some problems that may arise. The idea is to help you understand this tool well enough to wield it confidently as you identify and solve reliability questions. This Accendo Reliability webinar originally broadcast on 10 April 2018.   Download RSS To view the recorded video and event slides, visit the webinar page. Related Content Weibull Analysis and Physics Trumps Mathematics episode A Discussion on Weibull Analysis with Fred Schenkelberg episode What is Weibull Distribution? episode Questions to Ask about Data Analysis episode Collecting and Analyzing Your Field Data Let's explore where the data comes from and how to prepare for analysis. Plus, let's discuss some ways to look at your data initially. 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 Weibull Analysis appeared first on Accendo Reliability.
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Feb 13, 2018 • 0sec

Fundamentals of Hazard Analysis

Fundamentals of Hazard Analysis podcast episode Some products and systems are just dangerous, inherently. Understanding inherent safety-related risks permits a team to design out or mitigate those risks. Hazard analysis is the systematic process of identifying and controlling safety risks. Let's discuss hazard analysis’s basic definition(s), including the range of industries and standards involved. Plus, let's review the basic approach to accomplish the analysis. It should be obvious that understanding safety risks permits your team to deal with those risks meaningfully. The common mitigation or control approaches include design changes, fail-safe responses, early warning capability, and training (as a last resort). Like an FMEA, hazard analysis creates a prioritized list of action items. Instead of minimizing failures and the consequences of those failures, hazard analysis focuses on safety-related risks, particularly those that are designed into the system or product (inherent). This includes foreseeable misuse and abuse of the system. Conducting a hazard analysis may not be the primary role of a reliability engineer, yet the advent of failures of safety-related consequences certainly is part of reliability. Working closely with your entire team, including those focused on safety, can provide additional means to improve the right reliability performance and keep customers safe. This Accendo Reliability webinar originally broadcast on 13 Feb 2018.   Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content Introduction to Hazards Analysis episode Process Safety Management with Paul Daoust episode Safety and Reliability episode 3 Steps NRTL use for product safety article Fundamentals of Hazard Analysis Let's discuss the basic definition(s) of hazard analysis, and review the basic approach to accomplish the analysis. 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 Hazard Analysis appeared first on Accendo Reliability.
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Jan 10, 2018 • 0sec

Fundamentals of Cost of Poor Reliability

Fundamentals of Cost of Poor Reliability podcast episode I define a reliability failure as something that costs your organization money. It might be a warranty expense or a lost customer. A failure may also create customer expenses, too. Let's talk about the range of un-reliability costs and their impacts. Consider the impact of a product failure. What are the expenses to you, your organization, your customers, and society? Consider which costs of poor reliability your organization considers and which matters. Like the Taguchi Loss Function or the cost of poor quality, the cost of poor reliability is far larger than a warranty expense. Yet, many organizations do not consider nor quantify the impact on their customers and society. Sure, some industries do, yet does yours? Let's discuss the different types of costs of poor quality and how you can estimate these costs. Also, let's discuss how you can use this information to inform design, supply chain, and manufacturing decisions. Making a good decision partly hinges on having the appropriate information. The cost of poor reliability should be part of your organization's decision. From component selection to strategic positioning of a product line, reliability performance and the impact of failures matter. Understanding this concept and estimating and communicating the cost of poor reliability will improve the decision-making across your organization concerning product reliability performance. This Accendo Reliability webinar originally broadcast on 9 Jan 2018.   Download RSS To view the recorded video/audio of the event, visit the webinar page. Related Content Manage All Failures or Else with James Reyes-Picknell episode Warranty Costs are Lot More than the Accounts Tell You article Customer Experience and Failures Its not you its them! episode Life Cycle Costs article Finding Value with Reliability Tasks This webinar discusses the importance of estimated value and helps you discover and state the value of common reliability activities. See More Life Cycle Cost Analysis for a Reliability Engineer Life cycle cost: Let's explore estimating the total lifecycle costs for a complex system from the point of view of a reliability engineer. See More Predicting the Value of a Reliability Goal in Your Organization When setting a reliability goal, considere the value that reliability goal may provide. Let's explore three ways you can estimate the value. See More Fundamentals of Cost of Poor Reliability A discussion of the wide range of the impact of the cost of poor reliability on engineers, organizations, customers, and society. See More Fundamentals of the Cost of Unreliability When a product or system fails there is a consequence. Often there is a loss of value. A warranty replacement costs money. See More The Reliability Value Map. It is a thing. A value map is an organized chart that helps you track down every possible good' thing that reliability can do for you. See More Reliability Making Money You need to work out how many spare parts, so put some numbers in a computer and use the that result. Right? See More Reliability Making Money 2 Case Study Let's explore a Weibull plot and enjoy reliability making money. In this episode, we look at an actual Weibull plot for an actual example See More How to Make a Decision This webinar takes you through the key steps of decision-making particularly relating to reliability engineering. See More 9 Ways Reliability is Green Engineering Visit a scrap yard to witness the impact of getting a new car'. Let's explore the many ways creating a reliable product is beneficial. See More 10 Reasons to Do Reliability Besides discussing what is involved in reliability, let's explore a short list of reasons to use reliability thinking with your team. See More The post Fundamentals of Cost of Poor Reliability appeared first on Accendo Reliability.
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Dec 13, 2017 • 0sec

Fundamentals of Root Cause Analysis

Fundamentals of Root Cause Analysis podcast episode The ability to determine the root cause of a failure is a skill. It requires agility, leadership, inquisitiveness, diligence, and technical skill. Successful RCA taps into your creativity and technical prowess. Using a structured approach helps. There are many challenges when determining the root cause of a failure the desire to find and implement a solution quickly. Or the lack of resources and equipment being immediately available. Let's discuss the common challenges and a few ideas for solving or avoiding these obstacles. Keeping in mind that some symptoms may mask or share underlying failure mechanisms. Understanding the underlying physics, chemistry, code, and interactions may present a challenge. Creating hypotheses allows for a structured scientific approach to gaining a fundamental understanding of a problem. Sometimes, a good enough understanding is all you can manage. Let's discuss when you have sufficient understanding of a failure mechanism to implement a solution. There are theatrical and empirical approaches, along with a bit of creativity, that can help you efficiently conduct RCA. Overall, a great method to address both the interpersonal and technical challenges is a structured approach to RCA. One method, there are many, is called 8 Disciplines. Let's review this basic process so you can employ it for your next RCA. This Accendo Reliability webinar originally broadcast on 12 Dec, 2017.   Download RSS   To view the recorded video/audio of the event, visit the webinar page. Related Content The Anti-Quality Tool: 5 Whys Root Cause Analysis episode Root Cause Analysis article Methodologies of Root Cause Analysis article Root Cause Analysis w/ Bob Latino episode How Does Your Root Cause Analysis (RCA) Effort Measure Up? article 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 Fundamentals of Root Cause Analysis appeared first on Accendo Reliability.

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