Accendo Reliability Webinar Series

An Introduction, Basic Steps, and Examples of How FMEA Goes Wrong Failure mode and effects analysis (FMEA) starts with brainstorming and ends with prioritized actions. A great tool to get your team thinking about system failures. Let's explore the fundamental steps and beset practices to get value from your analysis. You may hear moans and groans when you suggest the team participate in an FMEA. Sometimes, the analysis is tedious, and sometimes, it provides little actionable results. Your task when facilitating or participating in an FMEA is to help the entire team employ the tool to improve the team's ability to achieve the customer's expected reliability performance. You can help make the FMEA process useful for all involved. You need to know the fundamentals of FMEA and a few best practices to succeed. Let's review the basic steps for any FMEA, plus how the FMEA process is best set up for success. Plus, let's expose a few very poor practices that eliminate value from the process. The discussion will focus on the flexibility of the FMEA process, plus the hints and tips to get past the potential rough spots during the analysis. Bring your experience, best practices, and questions to this discussion about FMEA. This Accendo Reliability webinar originally broadcast on 11 April 2017. Download RSS To view the recorded webinar and slides, visit the webinar page. Related Content FMEA Resources page Where are FMEAs (and their standards) Heading? episode How to use FMEA for Complaint Investigation episode Reliability Predictions and FMEA Occurrence episode FMEA Occurrence Question episode Fundamentals of FMEA Just the fundamentals of FMEA in this fast paced event. FMEA has value, the 10 steps, and a few examples of how it can go all wrong. See More 10 Reasons to do FMEAs Exploring ten reasons to do FMEAs, yet actually, reasons to do amazing FMEAs that provide value in a range of ways. See More Supportability (and FMEAs/FMECAs) What is supportability?' Easy! It's the ability of your product, system or service to be supported. But how do we get this so wrong so often? See More What is the difference between Design and Process FMEAs? Get an overview of which FMEAs do what and when you would use one instead of the other? Including Design, Process, and others. See More Using FMEA Block Diagrams This is where taking a breath and understanding our product before we build the wrong thing fast can really helpful. See More What’s the Difference Between FMEA and FMECA? Understand the difference (if any) between FMEAs and FMECAs? and How can you make an FMECA work for you? See More   The post Fundamentals of FMEA appeared first on Accendo Reliability.

An Introduction, Basic Steps, and Examples of FRACAS Gone Wrong Every failure has valuable information you and your team require to improve reliability. During the development process, each failure may represent a future recall. Celebrate every failure. Let your FRACAS prioritize which failures to resolve. Failures occur, sometimes a bit too often. Some failures may lead to dangerous situations, while others may go unnoticed. Every failure has vital information. Tracking, prioritizing, and resolving the causes of product failures is a common business practice. Let's discuss the basics of the failure reporting and corrective action system. What issues to include. When to start tracking. Best practices concerning prioritization and root cause analysis. Plus, monitoring results of both short and long-term solutions. The tools employed, from 3×5 cards to a whiteboard in the team room to a custom database, do not matter if the team uses the tool well. Let's discuss striking the balance of gathering and tracking issues with the value the FRACAS provides. This webinar will introduce you to the basic elements of FRACAS. Plus, we'll examine a few processes that have derailed so that you can avoid a similar fate. Wrapping up with a few best practices to help you build or improve your FRACAS program. This Accendo Reliability webinar originally broadcast on 14 March 2017. Download RSS To view the recorded webinar and slides, visit the webinar page. Related Content Mistakes To Avoid When Implementing And Using FRACAS article Getting FRACAS to Serve Your Team episode FRACAS with Brandon Weil episode The Importance of Post-delivery Feedback 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 FRACAS appeared first on Accendo Reliability.

Do Reliability Testing That Adds Value, Informs Decisions, and Provides Information Reliability testing is expensive, time-consuming, and fraught with errors. Is it worth the effort? Is it necessary? Let's explore relegating testing to only a ‘when necessary’ status. Let's explore what you and your team can do instead. Testing results arrive late in the development program, often too late to improve reliability. The development team requires reliability performance feedback much earlier to make design and process improvements effectively. The dilemma is many organizations rely on prototype testing to create the first estimates of product reliability performance. You can and should do better. Let's explore the alternatives to testing you may want to employ. Plus, let's ensure the little testing generates the necessary reliability information efficiently and effectively. Given the typical testing investment, reliability testing should provide significant value to the team. In this webinar, we will discuss poor and best practices around reliability testing, plus a handful of viable alternatives to limit the need for reliability testing. This Accendo Reliability webinar originally broadcast on 14 February 2017. Download RSS To view the recorded webinar and slides, visit the webinar page. Related Content Results-Driven Decisions, Faster: Accelerated Stress Testing as a Reliability Life Test episode Introduction to HALT Highly Accelerated Life Testing with Dr. Christopher Jackson 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 Is Reliability Testing Always Necessary? appeared first on Accendo Reliability.

The Importance of Reliability Apportionment and How to Do It Today Your team may understand the system reliability goal, yet they should know the goal for the element they are addressing. Let's discuss why you must do reliability apportionment. Plus, let's explore how it benefits your team. There are a few methods for reliability apportionment. You might use a straight-line approach or incorporate a similar product's field data. The actual method is less important than the discussion involved with establishing the apportioned reliability goals. Starting with a simple reliability model, you and your team can define the reliability targets for each subsystem and major component. It's a starting point worth revisiting often as you obtain or create reliability estimates. Using a reliability model with apportioned goals can engage your entire team to improve the overall system’s reliability. It's also a mechanism to encourage regular discussions and research that helps to improve the certainty and accuracy of reliability estimates. The idea is to worry less about how you create the initial apportionment and invest more in the process that engages your entire team concerning system reliability. Let's discuss how to start your reliability apportionment process quickly and how to use the discussions to drive reliability improvements best. This Accendo Reliability webinar originally broadcast on 10 January 2017. Download RSS To view the recorded webinar and slides, visit the webinar page. Related Content Weakest Link article Reliability Block Diagrams Overview and Value article Series System article Parallel Systems article k out of n article Reliability Apportionment and How to Do It Reliability apportionment is a power tool to enable your team to make decisions while fully considering the reliability impact. See More Fundamentals of RBD Reliability Block Diagrams are a useful and simple tool to encourage reliability discussions and improved decisions. See More Fundamentals of Physics of Failure Let's consider physics of failure (PoF) models, how to use them, plus how to create them, as a central element of your reliability program. See More Fundamentals of Monte Carlo Analysis The Monte Carlo method is a relatively simple process that permits you to create models that include the naturally occurring variability. See More 3 Ways to Do Reliability Allocation Having a reliability target for your product is great. But how does that help all the little design teams? Use subgroup targets. See More Reliability Life Models Failure is a random process. Which means we can't predict with absolute certainty when something will fail. Enter 'reliability life models.' See More What is a ‘Fault Tree’? Join us for this webinar to learn more about how fault trees can help you ... regardless of what you are trying to achieve. See More Why Redundant Systems Aren’t Always Redundant Redundancy has continually proven to not always be redundant. Let's explore a few reasons this occurs. And, how to judge your system. See More Reliability of a K out of N' System There are K out of N' systems that need K' components out of a total of N' components to work for the system to work. See More What are ‘Cut Sets’? See More The post Reliability Apportionment and How to Do It appeared first on Accendo Reliability.

Basic Steps to Building Your Reliability Plan Creating a plan is necessary both for budgeting and buy-in. The added focus on reliability will help your team achieve it's reliability goals. Plus, a good plan helps build your credibility and program. Let's explore how to build a reliability plan. First, no two reliability plans are the same. They may have similar elements, yet the path to achieving your goals will differ. Let's talk about how you craft the right plan for your situation. Second, every project has different available information and constraints. You may have or not have samples for testing, new technology, controlled customer use conditions, not to mention resources. Building a plan is part of what you need to do to understand your product, uncover risks, and fit within the constraints. While executing a plan without budget or resources is impossible, you can go a long way with limited resources. Let's discuss the basic elements and critical questions you must address as you build your reliability plan. Bring your questions, constraints, and ideas to each unique situation as we explore fitting the right mix of tasks. This Accendo Reliability webinar originally broadcast on 13 December 2016. Download RSS To view the recorded webinar and slides, visit the webinar page. Related Content Putting Reliability Plans Together episode The Need for Proper Reliability Plan episode Tips For Building a Reliability Plan episode Reliability Planning and Maturity 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 Basic Steps to Building Your Reliability Plan appeared first on Accendo Reliability.

What To Do When A Customer Requests MTBF You have carefully crafted a detailed reliability goal including function, environment, probability, and duration, plus apportioned it to critical supplied subsystems and components. Your vendor decides to use MTBF instead. What can you do? What should you do? The supplier is critical to the success of the project. The design team wants to work with this supplier, and there are few viable alternatives. What can you do? Let's discuss this and similar situations and outline steps you can take to prevent this from occurring to start. What specific steps can you take to help your supplier use your stated reliability goal and not MTBF? If you have experienced this situation, let me know, and let's talk about both the impact and how you achieved the desired supplied part reliability. We all face this situation, so let's share what we have found to work to achieve our overall project goals. This Accendo Reliability webinar originally broadcast on 8 November 2016. Download RSS To view the recorded webinar and slides, visit the webinar page. Related Content The Reliability Metric: A Quick and Valuable Improvement Over MTBF book We Need to Try Harder to Avoid MTBF article The Business of Providing MTBF article 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 To Do When A Customer Requests MTBF appeared first on Accendo Reliability.

Time to Failure Data Analysis for Your Factory Equipment We have data. Often, an abundance of data concerning equipment failures. Failures per month or MTBF-type measures do not reveal sufficient insights to understand the pattern of failures. We need to know if the rate of failures is increasing or not and if the maintenance program is helping or hurting the equipment long term. We must understand the pattern of failures to align our maintenance strategy properly. Let's explore two ways to use the time to failure data you already have available (or should have). For repairable items, the mean cumulative function and associated plots provide you with an estimate of the effectiveness of your repairs. Are repairs restoring the system to good-as-new' condition, bad-as-old', or somewhere in between? This Accendo Reliability webinar originally broadcast on 11 October 2016. Download RSS To view the recorded webinar and slides, visit the webinar page. Related Content Confusion between repairable and non-repairable data analysis episode Myth Busting 23: We need lots of failure data article Trending Data is Important to Predictive Activities article Is Maintainability Only About Repair Time? 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 Time to Failure Data Analysis for Your Factory Equipment appeared first on Accendo Reliability.

Collecting and Analyzing Your Field Data We often have more data than we can use. For time to failure, warranty claims, and related field data, we should take the time to learn what we can. Let's explore organizing your field data and use basic techniques let the data speak. What kind and where can you find the data to understand your field reliability performance? You helped launch a reliable product, at least as reliable as possible. Now, it's the customer's turn to evaluate and experience the product’s reliability. Let's explore where the data comes from and how to organize and prepare that data for analysis. Plus, let's discuss some ways to look at your data initially. What questions to ask and assumptions to check? Let's discuss how to get started using the data you probably already have available. This Accendo Reliability webinar originally broadcast on 13 September 2016. Download RSS To view the recorded webinar and slides, visit the webinar page. Related Content Ready to Use Field Data episode Challenges with Field Data episode Collecting Field Data Automatically 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 Collecting and Analyzing Your Field Data appeared first on Accendo Reliability.

Predicting the Value of a Reliability Goal in Your Organization Establishing a reliability goal for a project is often done early. You may already know the reliability goal guides the entire development and supply chain team. Yet, what is the actual value of setting a reliability goal? Value is the return on the investment. Here, setting a goal may be customer-imposed or simply an educated guess. It may take some work to craft a meaningful goal reflecting customer expectations. What difference does it make if you do not set a goal, set a quickly devised one, or set a well-researched goal? The value of a goal can manifest itself in many ways, from providing direction, providing a standard for comparison, assessing suppliers’ capability, and judging actual field performance. Yet, how does one go about estimating the value of setting a goal? Let's discuss the various approaches and methods to ascertain the value created when you set a reliability goal. The discussion explores examples using different situations to demonstrate how to find value in goal setting. This Accendo Reliability webinar originally broadcast on 12 July 2016. Download RSS To view the recorded webinar and slides, visit the webinar page. Related Content Choose Reliability Goals for Modules episode Reliability Goals and Allocation episode 5 Aspects of Good Reliability Goals and Requirements episode Keeping Reliability Goals Relevant episode Reliability Goal Setting and Safety episode 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 Predicting the Value of a Reliability Goal in Your Organization appeared first on Accendo Reliability.

Understanding and Controlling Process Variation Let's discuss sources of variation and how to measure, monitor, and control processes to minimize the differences from one part to the next. Statistical process control (SPC) is a set of tools that provide insights into the changing nature of processes. Product designs include the design engineer's desired dimensions and an allowance for variation. Engineers use tolerance analysis to determine a range of sizes to enable assembly into the final product. If every component complied with the design's nominal values without variation, every assembled product would work as intended. Unfortunately, components, materials, and parts vary. They vary within or beyond the design specification because the variation directly results from the processes that create the part and not the design intent. Manufacturing processes create parts that are different from one another. Even a well-controlled and stable process has variation. When the design calls for restricting the variation with a tolerance smaller than the natural range of variation, parts will still have dimensions outside the specifications. Manufacturers may include an inspection to sort out faulty parts, thereby incurring higher yield losses and higher costs. Some out-of-spec' parts might only be found after assembly into a final product, compounding the cost of the error. Where is the root cause of the out-of-spec parts? What element of the process led to the faulty product? When the design does not account for the normal variation of the manufacturing processes, it is inevitably the designer's fault. Variation happens. In this webinar, we will discuss the various sources of variation and how to measure, monitor, and control processes to minimize the differences from one part to the next. Statistical process control (SPC) is a set of tools that provide insights into the changing nature of processes. Making variation visible allows the entire team to minimize excessive variation. Even if we accept that no two parts are the same, it is not safe to assume that all parts are within the expected or defined range of values. A process that is not monitored or controlled will generally create results with excessive variation. This Accendo Reliability webinar originally broadcast on 14 June 2016. Download RSS To view the recorded webinar and slides, visit the webinar page. Related Content Design Specs vs. Process Control, Capability, and SPC episode A slew of articles or tutorials on SPC and Process Capability When should SPC be used? 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 Understanding and Controlling Process Variation appeared first on Accendo Reliability.