Accendo Reliability

Your Reliability Engineering Professional Development Site

  • Home
  • About
    • Contributors
    • About Us
    • Colophon
    • Survey
  • Reliability.fm
    • Speaking Of Reliability
    • Rooted in Reliability: The Plant Performance Podcast
    • Quality during Design
    • CMMSradio
    • Way of the Quality Warrior
    • Critical Talks
    • Asset Performance
    • Dare to Know
    • Maintenance Disrupted
    • Metal Conversations
    • The Leadership Connection
    • Practical Reliability Podcast
    • Reliability Hero
    • Reliability Matters
    • Reliability it Matters
    • Maintenance Mavericks Podcast
    • Women in Maintenance
    • Accendo Reliability Webinar Series
  • Articles
    • CRE Preparation Notes
    • NoMTBF
    • on Leadership & Career
      • Advanced Engineering Culture
      • ASQR&R
      • Engineering Leadership
      • Managing in the 2000s
      • Product Development and Process Improvement
    • on Maintenance Reliability
      • Aasan Asset Management
      • AI & Predictive Maintenance
      • Asset Management in the Mining Industry
      • CMMS and Maintenance Management
      • CMMS and Reliability
      • Conscious Asset
      • EAM & CMMS
      • Everyday RCM
      • History of Maintenance Management
      • Life Cycle Asset Management
      • Maintenance and Reliability
      • Maintenance Management
      • Plant Maintenance
      • Process Plant Reliability Engineering
      • RCM Blitz®
      • ReliabilityXperience
      • Rob’s Reliability Project
      • The Intelligent Transformer Blog
      • The People Side of Maintenance
      • The Reliability Mindset
    • on Product Reliability
      • Accelerated Reliability
      • Achieving the Benefits of Reliability
      • Apex Ridge
      • Field Reliability Data Analysis
      • Metals Engineering and Product Reliability
      • Musings on Reliability and Maintenance Topics
      • Product Validation
      • Reliability by Design
      • Reliability Competence
      • Reliability Engineering Insights
      • Reliability in Emerging Technology
      • Reliability Knowledge
    • on Risk & Safety
      • CERM® Risk Insights
      • Equipment Risk and Reliability in Downhole Applications
      • Operational Risk Process Safety
    • on Systems Thinking
      • The RCA
      • Communicating with FINESSE
    • on Tools & Techniques
      • Big Data & Analytics
      • Experimental Design for NPD
      • Innovative Thinking in Reliability and Durability
      • Inside and Beyond HALT
      • Inside FMEA
      • Institute of Quality & Reliability
      • Integral Concepts
      • Learning from Failures
      • Progress in Field Reliability?
      • R for Engineering
      • Reliability Engineering Using Python
      • Reliability Reflections
      • Statistical Methods for Failure-Time Data
      • Testing 1 2 3
      • The Hardware Product Develoment Lifecycle
      • The Manufacturing Academy
  • eBooks
  • Resources
    • Accendo Authors
    • FMEA Resources
    • Glossary
    • Feed Forward Publications
    • Openings
    • Books
    • Webinar Sources
    • Journals
    • Higher Education
    • Podcasts
  • Courses
    • Your Courses
    • 14 Ways to Acquire Reliability Engineering Knowledge
    • Live Courses
      • Introduction to Reliability Engineering & Accelerated Testings Course Landing Page
      • Advanced Accelerated Testing Course Landing Page
    • Integral Concepts Courses
      • Reliability Analysis Methods Course Landing Page
      • Applied Reliability Analysis Course Landing Page
      • Statistics, Hypothesis Testing, & Regression Modeling Course Landing Page
      • Measurement System Assessment Course Landing Page
      • SPC & Process Capability Course Landing Page
      • Design of Experiments Course Landing Page
    • The Manufacturing Academy Courses
      • An Introduction to Reliability Engineering
      • Reliability Engineering Statistics
      • An Introduction to Quality Engineering
      • Quality Engineering Statistics
      • FMEA in Practice
      • Process Capability Analysis course
      • Root Cause Analysis and the 8D Corrective Action Process course
      • Return on Investment online course
    • Industrial Metallurgist Courses
    • FMEA courses Powered by The Luminous Group
      • FMEA Introduction
      • AIAG & VDA FMEA Methodology
    • Barringer Process Reliability Introduction
      • Barringer Process Reliability Introduction Course Landing Page
    • Fault Tree Analysis (FTA)
    • Foundations of RCM online course
    • Reliability Engineering for Heavy Industry
    • How to be an Online Student
    • Quondam Courses
  • Webinars
    • Upcoming Live Events
    • Accendo Reliability Webinar Series
  • Calendar
    • Call for Papers Listing
    • Upcoming Webinars
    • Webinar Calendar
  • Login
    • Member Home
Home » Articles

Articles

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

by Carl S. Carlson Leave a Comment

Quality Objective 7: HIGH-RISK FAILURES IDENTIFIED

“Risk comes from not knowing what you’re doing” – Warren Buffett

In this article, I will outline how to evaluate an FMEA against the FMEA Quality Objective for identifying high-risk failures.

One definition for “risk” is “the possibility of loss or injury;” and “high” means “of a greater degree, amount or cost than expected.” Putting these words together, “high risk” means the anticipated loss or injury is too great.

What is meant by “high risk” in an FMEA?

FMEA procedure requires the consequences (effects) of all potential failure modes to be evaluated for severity, and the causes to be evaluated for likelihood of occurrence and ability to detect during product development. Risk prioritization combines the influence of severity, occurrence and detection risk to determine the relative risk, and priority for corrective actions.

High-risk in an FMEA means the risk prioritization determines the combination of severity, occurrence, and detection risk is unacceptably high.
Implicit when determining if all high-risk failures are identified is that there are no high-risk failures that are omitted from the analysis. This means the preparation must be well done, and the meetings well facilitated.

Why is evaluating the quality of FMEA Technical Risk Analysis important?

There is no more important objective for FMEA procedure than ensuring that all high-risk issues are identified and addressed. That is why FMEAs are being done. All risk in an FMEA must be reduced to an acceptable level, and this begins with identifying high-risk issues.

What is the quality objective for identification of high-risk failures in FMEA?

FMEA Quality Objective 7: All potential high-risk failure modes and associated causes are properly identified and prioritized, including past field issues (for similar items) and potential new issues.

How can you assess how well an FMEA meets the quality objective for identifying high-risk failures?

This should be done in three ways.

  1. The first way is to examine the FMEA, and talk with the team, to see if severity, occurrence, and detection are properly assessed for risk, and if the combined influence is properly determined, based on company policy and FMEA standards. In other words, how well does the FMEA surface high risk?
  2. The second way is to ask FMEA team members for what is their highest concerns, and then ask the team leader where in the FMEA that concern is addressed.
  3. The third way is to ask to see the field history, and one or two examples of the most troublesome or highest risk issues from the field, for similar products. Followed by tracing the high-risk field issues through the FMEA to be sure they are identified.

What is an example of assessing how well the FMEA identifies high risk?

As an example, I’ll use an excerpt from a fictitious bicycle hand brake subsystem (below)

BicycleHandBrakeDFMEArev

Evaluation criteria # 1. Examine the FMEA, and talk with the team, to see if severity, occurrence, and detection are properly assessed for risk, and if the combined influence is properly determined.

The team missed the lower severity risk associated with the second failure mode. If the Effect is correct, the severity is rated too high. The team assessed the occurrence properly, but had a misunderstanding on how to assess detection risk. They thought they were evaluating whether there were tests or not. Properly rating of severity, occurrence, and detection for the second failure mode would have resulted in a medium risk priority.

Evaluation criteria # 2. Ask FMEA team members for what is their highest concerns, and then ask the team leader where in the FMEA that concern is addressed.

One of the team members mentioned a serious concern about the new brake pad material disintegrating in low humidity areas. The team leader could not show where this was considered in the FMEA.

Evaluation criteria # 3. Ask to see the field history, and one or two examples of the most troublesome or highest risk from the field.

Most of the highest risk field issues were properly brought into the FMEA. One issue was missed, due to an administrative oversight.

Based on this assessment, FMEA Quality Objective 7 is assessed at 2.

Tip

When assessing how well an FMEA meets this quality objective, always examine the FMEA itself, as well as interviewing the FMEA team.

Summary

Essential to effective FMEAs is properly identifying high-risk issues. By using the three recommended evaluation criteria from this article, you can determine how well an FMEA meets this objective.

Filed Under: Articles, Inside FMEA Tagged With: FMEA Quality Objectives

by Hemant Urdhwareshe Leave a Comment

Robust Design Introduction

Robust Design Introduction

Dear friends, I am happy to release this video on Introduction to Robust Design. In this video, I have briefly explained the philosophy of robust design which was originally created by Dr.Genichi Taguchi. It includes Taguchi’s definition of quality, the quality loss function, Signal to Noise Ratios (SN Ratio), Parameter Diagram, Steps in Robust Design, and an illustration of calculation of SN ratio.

[Read more…]

Filed Under: Articles, Institute of Quality & Reliability, on Tools & Techniques

by Nancy Regan Leave a Comment

KPIs and Maintenance Planning

KPIs and Maintenance Planning

CMC Cartagena 2024 Takeaways with Ramesh Gulati and Doc Palmer

Hi everyone! In this video, I’m sharing some key insights from the CMC Colombia 2024 conference, where I attended presentations by Ramesh Gulati and Doc Palmer. Ramesh spoke about KPIs and the importance of considering people, not just equipment. Doc Palmer highlighted valuable lessons about planning and scheduling, emphasizing that things don’t have to be perfect to get the job done.

Join me and Doc Palmer as we wrap up the conference with some great takeaways!

[Read more…]

Filed Under: Articles, Everyday RCM, on Maintenance Reliability

by Michael Keer Leave a Comment

7 Proven Strategies to Protect Your Supply Chain

7 Proven Strategies to Protect Your Supply Chain

By Wayne Miller and Michael Keer

Reduce Risk and Prepare for the Unexpected

In today’s global economy, supply chain disruptions are inevitable. Companies must proactively plan for resilience and adaptability, whether due to geopolitical tensions, tariffs, component shortages, or factory challenges.

Product Realization Group’s veteran hardware and operations experts Michael Keer, Founder and Managing Partner, and Wayne Miller, New Product Development and Introduction, shared their insights on mitigating supply chain risk, drawing from decades of experience in manufacturing, operations, and supplier management. Below, we outline seven key strategies to safeguard your supply chain and keep your production on track.

[Read more…]

Filed Under: Articles, on Tools & Techniques, The Hardware Product Develoment Lifecycle

by Larry George Leave a Comment

Progress in USAF Engine Logistics?

Progress in USAF Engine Logistics?

I learned actuarial methods for forecasting and spares planning while working for the US Air Force Logistics Command in the 1970s [AFLCM 66-17 and AFM 400-1]. I am grateful for the education, and I am sorry to report that the USAF has reverted to MTBF management.

The US AFLC actuarial methods were developed for engine management in the 1960s by RAND Corp. [Giesler]  They estimated age-interval failure rates and made actuarial forecasts of engine demands depending on the flying-hour program plan. An actuarial forecast is ∑a(s)n(t-s), s=1,2,…,t, where a(s) is actuarial failure rate conditional on survival to age s and n(t-s) is the installed base of age t-s. Periodic meetings consolidated engine lifetime and failure data into agreements on actuarial failure rates, for forecasting engine demands and for war readiness spares requirements.

The USAF actuarial methods assume constant failure rates within short age intervals, Poisson demands, and ignore variance induced by variable flying hours per aircraft in the flying hour program. I later figured out how to estimate actuarial failure rates for all engines, major modules, and their service parts, with or without life-limits and without lifetime data; I computed the distribution of demand forecasts, not Poisson. I offered to show AFIT faculty, AFOSR, AFRL, and RAND how to extend actuarial methods to all service parts [George, 1993].

[Read more…]

Filed Under: Articles, on Tools & Techniques, Progress in Field Reliability?

by Fred Schenkelberg Leave a Comment

MTBF and Mean of Wearout Data

MTBF and Mean of Wearout Data

MTBF is Just the Mean, Right?

A conversation the other day involved how or why someone would use the mean of a set of data described by a Weibull distribution.

The Weibull distribution is great at describing a dataset that has a decreasing or increasing hazard rate over time. Using the distribution we also do not need to determine the MTBF (which is not all that useful, of course).

Walking up the stairs today, I wondered if the arithmetic mean of the time to failure data, commonly used to estimate MTBF, is the same as the mean of the Weibull distribution. Doesn’t everyone think about such things?

Doesn’t everyone think about such things? So, I thought, I’d check. Set up some data with an increasing failure rate, and calculate the arithmetic mean and the Weibull distribution mean. [Read more…]

Filed Under: Articles, NoMTBF

by Ray Harkins Leave a Comment

The Paradox of the Invisible Discipline

The Paradox of the Invisible Discipline

Early in my quality management career, while working at a small extrusion and fabrication company, I learned something important: bosses pay attention to the money. And if I focused on cost savings projects, I could stay on their good side.

Most of my cost savings efforts at that time focused on eliminating specific types of defects. After all, even a low-frequency defect—especially one that reaches a customer—can drive substantial savings once resolved. Other projects looked inward, targeting inefficiencies in our systems and practices. Lab procedures, control plans, and audit schedules tend to drift out of sync with the products and processes they’re supposed to control. So every now and then, a little system hygiene—an organized cleanup—can free up resources and allow you to reallocate attention to where it’s needed most.

It was during one of those hygiene projects that I stumbled into something I’ve since come to call The Paradox of Invisible Discipline.

[Read more…]

Filed Under: Articles, on Tools & Techniques, The Manufacturing Academy

by Semion Gengrinovich Leave a Comment

Historical Data

Historical Data

The power of historical failure data is a gold mine of information for reliability engineers. It provides a window into the life cycle of products, revealing patterns and trends that can inform future designs and manufacturing processes. By analyzing this data, we can identify common failure modes, detect early life failures indicating quality or production issues, determine the onset of wear-out stages, and predict time to failure for similar products.

[Read more…]

Filed Under: Articles, on Product Reliability, Reliability Knowledge

by Mike Sondalini Leave a Comment

 RCFA and 5-Whys Tips for Successful Use 

 RCFA and 5-Whys Tips for Successful Use 

When you do a Root Cause Failure Analysis or a 5- Why there are no promises that you will actually find the true root cause and fix your problem. Investigating the cause of a failure is fraught with traps, such as making wrong assumptions, insufficient evidence, misinterpreting the evidence, misunderstanding, personal bias and second-guessing. There are necessary issues you need to be aware of that affect the RCA and 5-Why methods, and there are some good practices that you can adopt to improve your chance of doing a successful analysis when applied to equipment failures. 

[Read more…]

Filed Under: Articles, Maintenance Management, on Maintenance Reliability

by Greg Hutchins Leave a Comment

Higher Education Disruption

Higher Education Disruption

If colleges were businesses they would be right for hostile takeovers, complete with serious costcutting and painful reorganizations.
US News and World Report

COVID has forced universities to do online teaching. What’s the value add of spending $70K (USD) for online instruction, when you paid for sports, in-class instruction, and the college experience? In 2021 and 2022, we’ll find out as university students who have been taught online for a year or even longer.

[Read more…]

Filed Under: Articles, CERM® Risk Insights, on Risk & Safety

by James Reyes-Picknell Leave a Comment

Today’s Gremlin – The White Knight

Today’s Gremlin – The White Knight

Today’s Gremlin – “The White Knight”, is a day-to-day hero, fixing what’s broken and returning the operation from panic. When things break, you really do need him, and he can be a hero, but couldn’t he be preventing those breakdowns?

The White Knight is the one you call when things have gone wrong. You need things fixed fast, regardless of the time of day, and he’s there for you. He works overtime if needed, he’s there when you need him, and he’s fast. Things do get fixed. But do they stay that way?

[Read more…]

Filed Under: Articles, Conscious Asset, on Maintenance Reliability

by Joe Anderson Leave a Comment

The Power of Direction Setting

The Power of Direction Setting

Leading with Purpose and Clarity

In any organization, the absence of clear direction can lead to confusion, inefficiency, and stagnation. Direction setting—the process of defining a vision, establishing goals, and communicating a clear path forward—is one of the most critical functions of leadership. When done effectively, it empowers teams, drives progress, and ensures that everyone is working toward a shared purpose.

[Read more…]

Filed Under: Articles, on Maintenance Reliability, ReliabilityXperience

by Hemant Urdhwareshe Leave a Comment

Statistical Tolerance Stack-up

Statistical Tolerance Stack-up

Dear friends, we are happy to release this 85th video in our channel ‘Institute of Quality and Reliability’! In this video, Hemant Urdhwareshe has explained the concept of statistical tolerancing tolerance stack-up! Conventional Extreme Value Analysis (EVA) can result in increased manufacturing costs! Statistical tolerancing is more optimistic method of analysing tolerances and can reduce manufacturing costs! Concepts of loop diagram, additivity of variances are also explained briefly in the video with a practical application case study of tolerance stack-up analysis.

[Read more…]

Filed Under: Articles, Institute of Quality & Reliability, on Tools & Techniques

by Nancy Regan Leave a Comment

How to Set Condition-Based Maintenance (CBM) Intervals Using the P-F Curve

How to Set Condition-Based Maintenance (CBM) Intervals Using the P-F Curve

Welcome to Part 4 of our Reliability Centered Maintenance (RCM) Case Study, where we take a deep dive into Condition Based Maintenance (CBM). CBM, also known as On-Condition Maintenance, is a proactive approach that allows us to detect Potential Failure Conditions and take corrective action before failure occurs. In this video, I explain:

  • What Condition Based Maintenance is and how it works
  • The role of the P-F curve in determining CBM task intervals
  • A Real-life example of a CBM task
  • Why the P-F interval is used to set CBM task intervals
  • How CBM differs from Preventive Maintenance and other strategies
[Read more…]

Filed Under: Articles, Everyday RCM, on Maintenance Reliability

by André-Michel Ferrari Leave a Comment

Reliability Engineering – Science of Pessimists?

Reliability Engineering – Science of Pessimists?

Introduction

This is a rather depressing title for an article specifically on the topic of Reliability. After all, Reliability relates to the Probability of Success hence the contradiction.

However, the contradiction is not so much one as Reliability Analysis depends on having access to failure data. In other words, if the equipment does not fail, it might be difficult or even impossible to perform an analysis. Of course, we can source other types of data that are not failure records, but this is not the common approach.

[Read more…]

Filed Under: Articles, on Maintenance Reliability, The Reliability Mindset, Uncategorized

  • 1
  • 2
  • 3
  • …
  • 262
  • Next Page »

Join Accendo

Receive information and updates about articles and many other resources offered by Accendo Reliability by becoming a member.

It’s free and only takes a minute.

Join Today

Recent Articles

  • Quality Objective 7: HIGH-RISK FAILURES IDENTIFIED
  • Robust Design Introduction
  • KPIs and Maintenance Planning
  • 7 Proven Strategies to Protect Your Supply Chain
  • Progress in USAF Engine Logistics?

© 2025 FMS Reliability · Privacy Policy · Terms of Service · Cookies Policy

Book the Course with John
  Ask a question or send along a comment. Please login to view and use the contact form.
This site uses cookies to give you a better experience, analyze site traffic, and gain insight to products or offers that may interest you. By continuing, you consent to the use of cookies. Learn how we use cookies, how they work, and how to set your browser preferences by reading our Cookies Policy.