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Find all articles across all article series listed in reverse chronological order.

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Evaluating Equipment Repair Effectiveness

Evaluating Equipment Repair Effectiveness

Introduction

How effective are the repair tasks you conduct on your equipment?

This article looks at quantifying the effectiveness of corrective maintenance, typically an unplanned repair on an asset. Unplanned repairs are undesirable because the asset loses its function and cannot produce what is required often leading to loss of revenue. Yet, this advent is inevitable because assets are subject to degradation over time.

The effectiveness of a repair relates to the condition in which the asset is restored to after a repair. But also how long it will operate until the next repair, Evaluating the effectiveness of the repair will provide the asset operator with a decision making tool. Can we do something different if the repair effectiveness is unsatisfactory? Or do we have to replace the asset as it is failing too frequently?

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7: Development – Part 1: Agile Hardware Development

7: Development – Part 1: Agile Hardware Development

Article by Mike Freier

In the last blog post, we discussed why Design for Excellence (DfX) is important to your business.  Building on several important concepts, this blog will focus on the Product Development phase and discuss how incorporating Agile principles can improve and accelerate your hardware product development process.

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SRE vs Reliability Engineer

SRE vs Reliability Engineer

In the world of engineering reliability, there is a crucial aspect that spans various domains, the two fields that often get confused due to their similar names. While site reliability engineering (SRE) and hardware reliability engineering are both aimed at ensuring the dependability of systems, they focus on vastly different areas and employ distinct methodologies.

Let’s explore the key differences between these two disciplines and delve into the history behind the SR naming convention.

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The Variety of Statistical Tools

The Variety of Statistical Tools

The Variety of Statistical Tools to Support Your Decision Making

My wife and I moved to a new home last year. We have yet to organize our tools.

The bedroom and kitchen are now organized. We, for the most part, can find the sweater or pan that we’re seeking.

No so for our tools in the shop. We have an assortment of hand tools for painting, home maintenance, yard work, and woodworking. In our previous home, we had the tools on pegboards, on shelves, in cabinets. We could find the right tool for the job at hand quickly. We’ve avoided the tool aisle at the hardware store recently, as we were sure we had the tool we need in the jumbled mess in our garage already. Still haven’t found it, though.

Have you noticed the number of statistical tools available? It’s like visiting a well-stocked tool store. There are basic tools like trend charting and advanced tools like proportional hazard models. Let’s explore the available tools a little so you can quickly find the right tool for the question or problem you are facing today.

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Quality Objective 5: TEAM

Many ideas grow better when they are transplanted into another mind than the one where they sprang up.  Oliver Wendell Holmes

In this article, I will outline how to evaluate an FMEA against the FMEA Quality Objective for FMEA Team. I’ll include relevant information from the chapter in the FMEA Preparation series called “Assembling the Correct FMEA Team.”

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Today’s Gremlin – Lube it wrong

Today’s Gremlin – Lube it wrong

Today’s Gremlin – “lube it wrong”, is a leading cause of machinery breakdown. 60% to 80% of all bearing failures are due to lubrication related problems. Wrong lube, too much lube, too little lube, contaminated lube, degraded lube, overheated lube and even poor lube selection can all lead to premature failures of bearings. Put a tiny bit of dirt into a hydraulic system and watch it fail quickly.

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Raise the ‘R’ 

Raise the ‘R’ 

Getting extraordinary equipment reliability



 This paper is primarily on understanding how to get extraordinary equipment reliability. The paper explains where equipment failures start in organisations. It clarifies the need to recognise the effect, and to control the influence, of interacting processes across the life cycle. It explains the successful philosophies and practices used in high reliability organisations and it introduces a reliability-causing methodology to help companies find what to do to become high-reliability organisations.

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Change Structure before Strategy

Change Structure before Strategy

Guest Post by Patrick Ow (first posted on CERM ® RISK INSIGHTS – reposted here with permission)

Organisations are systems that consist of sub-systems like sales and production. Change impacts the organisational system and subsystems in different ways and speeds – sales may react quickly to the changing external environment, but production may take time to change the process. Unfortunately, people are the hardest to change.

When organisational subsystems change at different speeds caused by external changes, it creates gaps or cracks in the system. This is where the system gets disintegrated.

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The Necessity of True Change Management in Maintenance

The Necessity of True Change Management in Maintenance

Change is an inevitable part of every industry, and maintenance is no exception. Whether it’s the introduction of new technologies, processes, or leadership, how an organization handles change can significantly impact its operational efficiency and overall success. However, when it comes to maintenance, true change management goes beyond simply implementing new systems—it’s about transforming the culture, mindset, and approach of the entire organization to ensure lasting improvement.

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Kolmgorov-Smirnov Two-Sample Test for Censored Data

Kolmgorov-Smirnov Two-Sample Test for Censored Data

Submitted to ASQC Reliability Review, Nov. 1996

A client wanted to compare the Kaplan-Meier (nonparametric maximum likelihood) estimators of the reliabilities of the old and new products. That is, he wanted me to test reliability functions, Ho: R1(t)=R2(t) for all nonnegative t vs. Ha: R1(t)≠R2(t) for some nonnegative t.

Because I’m lazy and fixed in my ways and because I thought it would be easier to explain, I chose the Kolmgorov-Smirnov (K-S) test [Gnendenko]. It’s convenient, practically every statistics text has the tables, and I can program tables and the test statistic easily. The test uses the maximum absolute difference between the Kaplan-Meier estimates of the two reliability functions. Reject Ho if maximum absolute difference, Dmn=max|R1(t)-R2(t)| exceeds a critical value, where m and n are the two sample sizes.

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Inherent Reliability Explained

Inherent Reliability Explained

Why Inherent Reliability is About More Than Just How Long Equipment Lasts 🌟

In this video, filmed at the iconic Kukulcan Temple in Chichen Itza, Mexico, I explore one of the most important concepts in Reliability: Inherent Reliability. Inherent Reliability isn’t just about how long something will last without failing—it’s about how long it will last when we “feed” it with the right proactive maintenance and appropriate default strategies.

Just as the ancient Mayans offered blood sacrifices to feed their gods, we need to feed our equipment with the right maintenance tasks at the right intervals to keep it performing as needed. Reliability Centered Maintenance (RCM) helps us identify the precise tasks and timing to protect our assets, ensuring that we get the Reliability we need.

In this video, you’ll learn:

The true meaning of Inherent Reliability
How Reliability Centered Maintenance (RCM) helps define what failure means to you
The importance of performing the right maintenance tasks at the right intervals

Equip your team with the knowledge to “feed” your assets and achieve the Reliability you’re aiming for. Watch now to learn more!

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Lifetime Evaluation vs. Measurement. Part 5 – Stone Soup

Lifetime Evaluation vs. Measurement. Part 5 – Stone Soup

We are well aware of cases when Accelerated Testing is successfully creating by statisticians, here I would like to propose an engineer’s approach.

We have created a new product, there is (is) an order for it (50 products at a price of $200). Can we start manufacturing and delivery? No, we can’t. We are stopped by significant warranty obligations and lack of confidence in the reliability of the product during the warranty period.

This is a typical task with uncertainty.

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6: Design & Planning – Part 3: Design for Excellence (DfX)

6: Design & Planning – Part 3: Design for Excellence (DfX)

by Mike Freier

Design for Excellence (DfX) is a holistic approach to designing a hardware product that takes into account how the product is made at scale. In addition to understanding your manufacturing plan and target costs, there are six categories to consider: assembly, cost, manufacturing, test, service, and supply chain.

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Sample Size During Feasibility/Prototyping

Sample Size During Feasibility/Prototyping

During the first prototype stage of product development, there is no one-size-fits-all answer for the right sample size. The appropriate sample size depends on various factors, including the objectives of your research, the nature of the prototype, the variability of the measurements, and the constraints of your project such as budget and timeline.

At the prototype stages of product development, especially for electromechanical devices, understanding the safety factor in your design is crucial. The safety factor, often referred to as the Factor of Safety (FoS), is a measure of the load-carrying capacity of a system beyond the expected or actual loads. Essentially, it indicates how much stronger the system is than it usually needs to be under normal conditions. A common approach to validate the safety factor in design, particularly for new and untested devices, is through step-stress accelerated life testing (SSALT). This method involves subjecting the prototype to increasing stress levels until failure occurs, providing insights into the product’s durability and reliability under various conditions. [Read more…]