Accendo Reliability Webinar Series

Reliability and Statistical Process Control When components fall outside specs, the chance for quality and reliability issues increases. Let's explore some design and manufacturing cases where effectively using statistical process control will enhance your product's reliability performance. We often assume the components and processes we rely on to create a reliable product are stable. Is that true? What is the risk if they are not stable? We work with our vendors and manufacturing teams as reliability professionals to create reliable products. We often identify and provide critical information on which components or processes are critical to reliable performance. Understanding how SPC and reliability relate, plus the basics of SPC and capability analysis, allows us to implement the design intent and create a reliable product. Let's explore how to determine if a vendor gets it' concerning SPC. Also, let's discuss how to judge an SPC program, how to select critical-to-reliability elements, and how to implement SPC across your supply chain and manufacturing process. In this event, we will discuss key elements that identify critical-to-reliability elements, plus how to prioritize which processes to monitor and control using SPC. Starting with a basic introduction to SPC and capability analysis, we will quickly move to improving your project’s reliability performance using process control techniques. This Accendo Reliability webinar originally broadcast on 14 July 2015. Download RSS To view the recorded webinar and slides, visit the webinar page. Related Content Design Specs vs. Process Control, Capability, and SPC episode Is SPC Part of the Reliability Toolkit? article When should SPC be used? article SPC Assumptions 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 Reliability and Statistical Process Control appeared first on Accendo Reliability.

Reliability and Tolerance Analysis A tolerance specification is how we communicate the allowance for part variation. Variation happens, and when it is within what we expect, great. Otherwise, quality and reliability issues ensue. Let's explore how to set tolerances to improve reliability properly. Let's understand the process data, stability, and design constraints in an attempt to find a balance to create meaningful tolerances. [NOTE: Check out the ebook Statistical Tolerance Analysis] Worst case isn't always feasible, yet it is very common. Consider using the root mean squared or the Monte Carlo approach. The worst-case approach relies on little data, just a range, whereas RMS assumes a normal distribution of the variation. The Monte Carlo approach may require the most information, and it provides the best results. A few quick overviews and examples, plus plenty of time to discuss the role of the reliability professional in the tolerance seeing process. Join the conversation during the webinar. This Accendo Reliability webinar originally broadcast live on 16 June 2015. Download RSS   To view the recorded webinar and slides, visit the webinar page.   Related Content Confidence and Tolerance Intervals episode Design Tolerances Based on Economics (Using the Taguchi Loss Function) episode Estimating the Normal Distribution Parameters and Tolerance Limits article Inputs to Consider When Setting Tolerances 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 Please login with your site registration to view the video recording and download the ebook. Username or Email Address Password Remember Me If you haven’t registered, it’s free and takes only a moment.   This quick introduction to three statistical analysis methods lets you determine or assess part tolerances quickly. You will also learn why tolerances are critical to achieving a reliable product or system. The ebook includes guidelines for data analysis, starting with histograms and building probability density functions for use in two of the three methods. The post Reliability and Tolerance Analysis appeared first on Accendo Reliability.

Reliability Projects and Programs We work on projects to improve reliability. There may not be the field data immediately available. Let's explore how you can improve the overall program while delivering on your project. Specifically, what's with cost and procurement? Detailed Information: As a reliability professional, we often work with a team focused on improving the reliability of a single product or system. We work with the resources and capabilities of the organization. For me, a reliability project is one product or line; a program is an entire organization and lifecycle. We bring specific tools and knowledge yet rely on the overall reliability culture of an organization to be successful. The overall reliability program may or may not have the field data, root cause analysis, and other elements of information that allow us to solve problems for a specific project effectively. In some cases, we have to work to improve the overall program while striving to create a reliable product. Let's explore what you should do when you are building a reliability model for a new project and would like to use previous reliability history. If the data is not available, what do you do? What are your options? Let's discuss what happens when the procurement team consistently selects the least expensive and least reliable components. What are your options? You can and should change how entire departments do business for the good of the project and the organization. Let's discuss the scope of your role as a reliability engineer. This Accendo Reliability webinar originally broadcast on 19 May 2015. Download RSS   To view the recorded webinar and slides, visit the webinar page.   Related Content Reliability Program vs Reality episode Planning a Reliability Program episode Hints to Have a Proactive Reliability Program episode Corporate Control of Reliability Program episode Reliability Program in Lean Product Development 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 Reliability Projects and Programs appeared first on Accendo Reliability.

Reliability Distributions and Their Use How do you use the Weibull Distribution? It's just one of many useful statistical distributions we must master as reliability engineers. Let's explore an array of distributions and the problems they can help solve in our day-to-day work. Detailed Information: When confronted with a set of time-to-failure data, what is your go-to analysis approach? For me, it's a Weibull plot. It's quick, often provides some insight to ask better questions, and is easy to explain to others. A histogram is another great starting point. If we know a little about the data source, we may favor the normal or lognormal distributions. If discreet data, binomial is the first choice, yet Poisson or hypergeometric have uses too. A basic understanding of statistical distributions provides a way to summarize data, providing insights to identify or solve problems. In this webinar, we'll explore a few distributions useful for reliability engineering work and talk about how to select a distribution, the basics of interpreting distributions, and judging if you have selected the right one. This Accendo Reliability webinar originally broadcast on 14 April 2015. Download RSS   To view the recorded webinar and slides, visit the webinar page.   Related Content When it's Not Normal: How to Choose from a Library of Distributions episode Density Curves (With a Reliability Engineering Example) article Where does the Bell Curve come from? episode Reliability and Statistics episode   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 Reliability Distributions and Their Use appeared first on Accendo Reliability.

R Software and Reliability Looking for an inexpensive and powerful data analysis tool? R is free. R is an open source statistical programing language. Let's explore R's many capabilities concerning reliability statistics from field data analysis, to statistical process control. Detailed Information: Reliability engineering relies on reliability statistics. We need software tools that allow us to explore and model data on a regular basis. Simply plotting the data, from a histogram to a probability plot allows us to ask better questions and solve problems faster. There are commercial software packages available from general purpose statistics, JMP or MiniTab, to specialized reliability packages, Weibull++ or Reliability and Maintenance Analyst. There are versatile math packages like MathCad or Mathematica. All are expensive and provide customer support and, training. R is a statistical programing language. It's free. It has an extensive library of specialty packages. And, an immense supportive community. It's powerful, capable of producing publication ready graphics, includes basic and advanced statistical tools, and you only need to learn a few basics to get started. Let's explore using R for a range of common reliability statistics problems. Plotting field data, exploring process capability with statistical process control examples will highlight the power and versatility of this amazing resource. This Accendo Reliability webinar originally broadcast on 10 March 2015. Download RSS   To view the recorded webinar and slides visit the webinar page.   Related Content Software and Thinking episode What Software Are You Using? episode The Role of Software in the Future of Industry with Ali Ahmedyar episode Software Reliability Modeling episode 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 R Software and Reliability appeared first on Accendo Reliability.

Making Use of Reliability Statistics Mastering the statistical tools related to reliability engineering allows you to master reliability. Identifying, characterizing, understanding, predicting, and improving reliability all require statistics. Let's discuss how it works and what will work for you. Variability causes failures. From the variability of material properties to use conditions all lead to the uncertainty of when and what will fail. Statistics is the language of variability. Since nearly everyone truly enjoyed their undergraduate probability and statistics course, let's start discussing essential elements of reliability statistics. Understanding when something will likely fail provides real value to the design team, the business, and the customer. We don't use statistics just because it's cool (which it is, btw); we use statistics to reveal problems, characterize variability, and make decisions. We use statistics to create reliable products. Let's review some case studies where reliability statistics made the difference. Let's explore maintenance planning for a fleet of escalators. Then, let's examine medical product field data and help the team focus on specific areas to improve the system's reliability. We'll finish the discussion with a short discussion on the next steps to get started when confronted with some data. Let's find the motivation to use reliability statistics and find the resources to learn the statistical tools necessary to succeed. This Accendo Reliability webinar originally broadcast on 3 February 2015. Download RSS   To view the recorded webinar and slides visit the webinar page.   Related Content When and Why Use Statistics episode Statistics and Reliability episode Reliability and Statistics episode 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 Making Use of Reliability Statistics appeared first on Accendo Reliability.

Getting Started with Reliability Engineering Every project and program includes reliability engineering. This may be obvious with a structured program and reliability plan or may be unspoken. The product or system will have some level of reliability performance whether or not anyone is overtly working to achieve a reliability goal. You have an interest in reliability engineering. You may be working within a group and realize that you can help make the product reliable and doing so have advantages for your customers and for you. Or, you've been assigned a few tasks related to reliability engineering. Now what do you do? How does one become a reliability engineer? What is a reliability engineer? And what do they do that makes a difference? Let's explore these questions and layout a couple of ways to get started as a reliability engineering professional. Whether just starting out, starting a new project, or just want to improve your existing program, this webinar will explore how to develop reliability engineering skills, adding value with each task, and spotting opportunities to improve the reliability of your product or process. This Accendo Reliability webinar originally broadcast on 13 January 2015. Download RSS   To view the recorded webinar and slides, visit the webinar page.   Related Content Getting your reliability engineering career off to a good start episode Ultimate Career Goal for Reliability Engineering episode Giving and a Reliability Career episode Career Strategies 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 Getting Started with Reliability Engineering appeared first on Accendo Reliability.

Select the Right Accelerated Life Test Approach There are many reasons to use accelerated testing and just as many ways to conduct the testing. Matching and balancing cost, risk, and results takes some skill. Let’s talk about the key elements to consider so you select the best approach for your test. There are times when we have to evaluate the reliability performance of a system or component. Accelerated testing is a useful tool, or rather set of tools, that allow us to cheat time. Accelerated testing ranges from simple time compression methods to complex modeling building techniques to degradation tracking. Each approach has benefits and issues. Let’s explore the range of possibilities and how you can select the right approach for each test. Getting meaningful results is important, as is minimizing testing costs, and getting results on time. Considering your constraints and objectives is one way to match the approach to your situation to create the right test plan. More a discussion than a lecture, this free webinar is our chance to talk about accelerated testing. This Accendo Reliability webinar originally broadcast on 9 December 2014. Download RSS   To view the recorded webinar and slides visit the webinar page.   Related Content ALT Sample Size episode ALT Design using Damage Bins episode ALT vs. HALT episode ALT Planning Questions episode   Select the Right Accelerated Life Test Approach Let's explore how to select the right ALT approach. Getting meaningful results on time is important, as is minimizing testing costs. See More How to Create an ALT Plan How to Create an ALT Plan: Discussion about the basic element necessary to create an accelerated life test (ALT) plan See More Fundamentals of ALT A description of why and how to accomplish ALT, accelerated life testing, to support better decision making in your organization. See More Three Approaches to Accelerated Life Testing In my experience, ALT has three basic approaches: Test to pass, test to failure, and degradation testing. Each fits a specific situation. See More Acceleration Factors with Examples Acceleration factors translate one stress level to another, which is rather useful for accelerated life test interpretation. See More How to Plan an ALT Let's explore the many elements that become inputs to creating a plan for your next accelerated life test. See More What is Accelerated Life Testing or ALT? This webinar will introduce you to Accelerated Life Testing or ALT to help you and your organization make reliability testing a reality. See More An Accelerated Life Testing Q&A We're received a few questions related to accelerated life testing. Let's get together and address your questions related to ALT. See More How to Learn ALT This event will focus on how I learned accelerated life testing (ALT) and advice for you in today's world to learn ALT. See More Alternatives to a Long ALT See More What is Accelerated Life Testing (ALT)? See More Fundamentals of Life Estimation See More The post Select the Right Accelerated Life Test Approach appeared first on Accendo Reliability.

Create a Meaningful Environmental Test Plan We often want to know if our product will work as expected in our customer’s environment. Creating an environmental test plan that clearly shows weaknesses and strengths should be part of your program for each product. Let’s explore the steps and resources you should consider when creating an environmental test plan for each product. We will discuss why using standards or even the plan from the last program may not provide you meaningful information. Understanding how your product responds to your customer’s environment provides the information for your team to make improvements and improve product reliability. More a discussion than a lecture, let’s talk about the challenges and benefits to creating a unique environmental test plan for each product under development. This Accendo Reliability webinar originally broadcast on 11 November 2014. Download RSS   To view the recorded webinar and slides visit the webinar page.   Related Content Environmental Stress Testing for Robust Designs episode How to Set Environmental Specifications for Testing episode Environmental Stress Testing for Robust Designs episode Building a Reliability Plan Let's discuss how to build an effective reliability plan that fits your specific situation. The key is to add value with each step. See More Create a Meaningful Environmental Test Plan Let's explore the steps and resources you should consider when creating an environmental test plan for each product. See More Basic Steps to Building Your Reliability Plan Let's discuss the basic elements and critical questions as you build your reliability plan fitting the right tasks to each situation. See More Selecting the Right Reliability Tools There are dozens of reliability tools. How does a reliability practitioner know which specific tools to use in a new reliability program? See More Creating an Effective Reliability Plan A Reliability plan is a guide to achieve the organization's reliability objectives. A few steps and considerations will make a plan effective. See More Selecting Reliability Engineering Tools The selection hinges on knowing what is available, understanding the current situation, and available information, plus ... See More Essential Reliability Engineering Techniques Your science, engineering, and math formal training will serve you well as a reliability engineer, and that is not enough to be successful. See More 6 Essential Reliability Engineering Formulas Using a formula requires understanding the purpose, limitations, and assumptions involved. It also requires using the right formula. See More Reliability as a Process The idea is to explore in detail why we think achieving reliability objectives is best done using a process approach. See More Deliberate Reliability Testing Let's explore the many reasons to conduct testing and how to clearly link those tests to the decisions that rely on the test results. See More Dealing with Small Sample Sizes Let's discuss approaches that enable you and your team first to have the right number of samples and then how to deal with too few samples. See More Building a Reliability Plan updated This is an overview of the six steps to achieve high reliability from Carl and Fred's book. Creating and executing a reliability plan See More Selecting a Reliability Method As reliability engineers, we generate information for the use of decision-makers. It is how we influence decisions that create value. See More Linking Customer Needs to Product Requirements and Robust Design See More The post Create a Meaningful Environmental Test Plan appeared first on Accendo Reliability.

Break the “we’ve always done it this way” cycle Reliability and test planning takes time and it’s easy to use the plan worked out for the last program. Yet this doesn’t consider the new risks or technology or use conditions that impact product reliability. If you find resistance as you propose improvements to the reliability plan or to the test plan, what can you do to gain acceptance? If the source of resistance that what we did last time worked, why change, then what steps can you take to secure support for the needed changes? If your organization only does the same thing and wonders why the product reliability is not improving, then let’s talk. Let’s explore how to break the cycle of just do the same as last time and focus on reliability plans and testing that add value. In this webinar let’s explore how to create plans and testing that actually helps your team improve the reliability of the products. This Accendo Reliability webinar originally broadcast on 7 October 2014. Download RSS   To view the recorded webinar and slides visit the webinar page.   Related Content SOR 439 Reliability Planning and Maturity episode Reliability Gap Assessment episode Tips For Building a Reliability Plan episode Who Is Responsible For Reliability? Everyone! article Reliability with a Best Practice Organization with Heinz Bloch episode Break the “we’ve always doen it this way” cycle Let's explore how to create plans and testing that actually helps your team improve the reliability of the products. See More 3 Steps to Improve Your Reliability Culture The reliability culture is about how individuals make decisions. Let's lay out how to improve the culture around reliability decisions. See More Reliability Analysis … now what? So how do you convert reliability data analysis into useful information for that decision? you do the analysis and then what? See More Fixing the Irrelevance of Reliability Let's discuss how can you make reliability relevant in your organization - plus a few ways to know it is not relevant. See More The Good, the Bad, and the Ugly Reliability Discussions Let's examine examples, how to shift all conversations into the good' category, and how those around us talk about reliability matters. See More Reliability Occurs at the Point of Decision It is by focusing on the key decisions that most influence the reliability of a product that we add the most value through our work. See More The post Break the “we’ve always done it this way” cycle appeared first on Accendo Reliability.