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QDD 146 Unraveling QA, QC, Quality Assistance, and Quality 4.0

QDD 146 Unraveling QA, QC, Quality Assistance, and Quality 4.0

Unraveling QA, QC, Quality Assistance, and Quality 4.0

I’m sure you’ve heard it before:

Quality is everyone’s responsibility.

You’ve also heard the terms “quality assurance” and “quality control”. Have you heard of “quality assistance” or “Quality 4.0?

What’s the difference between all of these terms, especially with quality assurance and quality control, the two oldest terms in the list?

As a designer, how are you supposed to interact with these terms? If quality is everyone’s responsibility, then what are yousupposed to do for quality assurance and quality control? Are there different ways you’re supporting each of these ideas inhow you design?

How does quality assistance and Quality 4.0 fit into the design picture?

Let’s explore some official definitions, the changes in quality that led to the quality assistance and Quality 4.0 terms and givesome context of quality with respect to design.

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Understanding (how bad) the Exponential Distribution (is)

Understanding (how bad) the Exponential Distribution (is)

Understanding (how bad) the Exponential Distribution (is)

podcast episode with speaker Chris Jackson

We often use probability distributions to help us characterize the likely values a random variable will have. This includes the random variable we call ‘time to failure’ or TTF, which is how long something works before it fails. Failure is a random process, but just because it is random, doesn’t mean it’s unpredictable. Products that wear-in will have vastly different probability distributions for TTF when compare do products that wear-out. So you need to have a good idea of the probability distribution of the TTF of your product when it comes to reliability engineering. But we often see in textbooks and standards the ‘exponential distribution’ simply being assumed as a ‘good’ TTF probability distribution. But is it? And what happens when it isn’t … but you use it anyway? Join this webinar to find out!
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AP 006: Navigating the Flow: Innovations in Water Asset Management at De Watergroup

AP 006: Navigating the Flow: Innovations in Water Asset Management at De Watergroup

Navigating the Flow: Innovations in Water Asset Management at De Watergroup

In this episode of the Asset Performance Podcast, we delve into the pivotal roles of asset management and technological innovation in the water sector. Cindy Vermeire, Director of Distribution and Supplies, brings over two decades of experience to her oversight of maintenance, asset management, and investments within the drinking water network. Filip Vancoillie, responsible for asset and process management, emphasizes translating high-level strategies into actionable plans, integrating digital solutions to achieve operational excellence.

A significant challenge addressed is managing water losses across a vast network of over 34,000 kilometers of main pipes. Through strategic data use and digital technology implementation, such as sensors and digital customer meters, leakages are detected and managed more efficiently. The episode also highlights the importance of engaging the workforce in the transformation process and emphasizes the significance of data reliability, effective communication, and storytelling in driving organizational change within the water sector.e

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QDD 145 Simplifying Probabilities for Better Decision Making

QDD 145 Simplifying Probabilities for Better Decision Making

Simplifying Probabilities for Better Decision Making

Ever find yourself stuck trying to gauge the likelihood of an event?

What if you could transform your approach to probability assignments with just one simple trick?

On this episode of Quality During Design, we talk about simplifying probabilities for better decision making. We uncover a method to assign probabilities and occurrence ratings during preliminary assessments.

We share a technique that involves breaking down an event into smaller, more manageable parts, helping you understand and analyze it better. This method makes it easier to assign likelihoods because it provides better understanding of the event, clearer context, and consideration of what may drive things to happen.

Then, we relate these parts to conditional probabilities. We offer example explanations and practical applications to help you grasp conditional probabilities.

Plus, for those looking for additional resources, we have a cheat sheet that can further simplify these concepts for you. Not a subscriber yet? Visit qualityduringdesign.com to sign up and start receiving valuable insights directly in your inbox.

Join us to learn how these techniques can simplify probabilities, improve your assessments, and boost your team’s decision-making.

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RiM 31: Why the MTBF with Philip Sage

RiM 31: Why the MTBF with Philip Sage

Why the MTBF with Philip Sage

In this episode, I speak with Philip Sage. Today, we’re diving into the murky waters of Mean Time Between Failures, or as some of us like to call it, ‘Maybe This’ll Be Fine’. We’ll uncover why relying on MTBF can sometimes be as risky as trusting your umbrella on a windy day. But don’t worry, we’ve got you covered with some solid alternatives that won’t leave you high and dry!

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Fundamentals of Hypothesis Testing

Fundamentals of Hypothesis Testing

Fundamentals of Hypothesis Testing

podcast episode with speaker Fred Schenkelberg

Let’s make a comparison. Let’s check our product’s key characteristics against specifications, compare vendor life data, or compare the newest design changes to prior performance. We can and should do comparisons well using the appropriate statistical approach.

Let’s examine a handful of parametric and non-parametric comparison tools, including various hypothesis tests. Plus how to best use these tools and when to set them aside and explore another approach.

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RM 145: Designing Electronics to be Reliable in Harsh Environments

RM 145: Designing Electronics to be Reliable in Harsh Environments

Designing Electronics to be Reliable in Harsh Environments

The challenging world of electronics becomes even more challenging when the end product is destined for harsh environments. For high reliability products operating in a harsh environment, the quest for reliability is not just a goal—it’s an imperative. These are not your everyday gadgets; often they’re critical components of systems designed to operate under extreme conditions, where failure is not an option. From the scorching heat of desert landscapes to the unyielding cold of arctic tundras, from the high-pressure depths of our oceans to the radiation-filled expanse of space, the demands on these electronic products are as varied as the environments themselves.

While ocean depths, outer space, and frozen tundras are arguably harsh environments, we don’t have to look too far for examples of product failures in less harsh environments. One example that comes to mind is the state of public EV charging stations. Government reports have concluded that up to 25% of public EV chargers are at any given time.

While there are many reasons for this, one may conclude they are not designed and manufactured for the intended in climactic operating environment.

On this episode, we’ll uncover the numerous challenges that designers and engineers face in their quest for reliability, durability, and functionality of the final product.

As we navigate through this complex landscape, we’ll highlight the strategies that enable these products to not just survive, but excel in unforgiving conditions.

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