Accendo Reliability

Your Reliability Engineering Professional Development Site

  • Home
  • About
    • Contributors
    • About Us
    • Colophon
    • Survey
  • Reliability.fm
  • 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
      • Communicating with FINESSE
      • The RCA
    • 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 Manufacturing Academy
  • eBooks
  • Resources
    • Accendo Authors
    • FMEA Resources
    • Glossary
    • Feed Forward Publications
    • Openings
    • Books
    • Webinar Sources
    • Podcasts
  • Courses
    • Your Courses
    • 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
    • Foundations of RCM online course
    • Reliability Engineering for Heavy Industry
    • How to be an Online Student
    • Quondam Courses
  • Calendar
    • Call for Papers Listing
    • Upcoming Webinars
    • Webinar Calendar
  • Login
    • Member Home
  • Barringer Process Reliability Introduction Course Landing Page
  • Upcoming Live Events
You are here: Home / Archives for Articles

Articles

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

by Robert Allen Leave a Comment

Fundamentals of Managing an Outsourced (CM) Value Stream

Fundamentals of Managing an Outsourced (CM) Value Stream

This article will cover the management of a contract manufacturer (CM) value stream from the perspective of a company that has outsourced the manufacturing of its product.  A typical CM model is most likely “turn-key” such that the “Company” purchases the only finished goods from the CM. 

Part/component purchases are a shared responsibility between the company and CM.  Company-controlled suppliers have negotiated pricing and purchased orders may be placed by the company or the CM for long-lead and specialty items. 

Ultimately, the liability for part/component inventory rests on the company. For this reason, minimizing inventory, maximizing inventory turns, and value stream flexibility are some major objectives of managing a CM. 

[Read more…]

Filed Under: Articles, Product Development and Process Improvement

by Laxman Pangeni Leave a Comment

Markov Chain Analysis

Markov Chain Analysis

Markov Chain Analysis and Eigenvector/Eigenvalue Problem: A Powerful Tool for Reliability Engineering

In reliability engineering, predicting system behavior over time is crucial for maintenance planning and risk assessment. One powerful mathematical tool for this analysis is Markov Chain modelling. In this article, I’ll demonstrate how Markov Chains can predict device reliability using a real-world example: battery reliability in reliability testing facilities.

[Read more…]

Filed Under: Articles, on Product Reliability, Reliability by Design

by André-Michel Ferrari Leave a Comment

5 Decisions Reliability Analysis Can Help With

5 Decisions Reliability Analysis Can Help With

Introduction to Reliability or Life Analysis

Reliability Analysis or Life Analysis is a process where asset records are used to build a statistical model for the asset. The model will in turn provide information of its future performance. It becomes an indispensable tool for asset managers in terms of making life cycle decisions with regards to the asset preservation and eventually replacement. Let alone the safety of employees. Typically, though not necessarily always, those records are obtained from the Computer Maintenance Management System (CMMS).

The basis of the model is a statistical distribution. An example of the process is illustrated in Diagram 1 where a number of “n” centrifugal pumps are run on a test bench until they fail. Each time interval to failure is recorded and once all the failure records are collected, a normalized frequency graph can be constructed. This frequency graph helps define the statistical distribution that best represents the life cycle of a typical component in the population. Using specific mathematical transformations applied to the distribution, the probability of failure after a defined mission time can be derived. And much more information as we will discover in this article.

[Read more…]

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

by nomtbf Leave a Comment

How We Think About Reliability

How We Think About Reliability

How We Think About Reliability Is Important

Getting on an airplane we think about the very low probability of failure during the flight duration. This is how we think about reliability.

When buying a car we think about if the vehicle will leave us stranded along a deserted stretch of highway. When buy light bulbs for the hard to reach fixtures we consider paying a bit more to avoid having to drag out the ladder as often.

When we consider reliability as a customer does, we think about the possibility of failure over some duration.

And, we really don’t like it when something fails sooner than expected (or upon installation). [Read more…]

Filed Under: Articles, NoMTBF

by Semion Gengrinovich Leave a Comment

How to Fit Data to a Distribution

How to Fit Data to a Distribution

Understanding the different types of data and their respective uses is critical for product development, testing, and analysis. Each type of data plays a role in ensuring that products meet quality standards and fulfill user needs. As a mechanical engineer with a focus on R&D testing and data analysis, you would likely encounter and utilize these various data types throughout the product development and validation process.

[Read more…]

Filed Under: Articles, on Product Reliability, Reliability Knowledge

by Mike Sondalini Leave a Comment

Maintenance Management Strategy by Physics of Failure Factors Analysis

Maintenance Management Strategy by Physics of Failure Factors Analysis

The Physics of Failure Factors Analysis for selecting maintenance strategy is a one-person exercise that identifies all ways a component can physically fail. Equally important to its simplicity is its ability to select the most effective life cycle strategies for maximising reliability. Another powerful business advantage is the failure-addressing solutions arrived at are universal solutions that apply to every other identical component, whatever equipment it is in. Do a Physics of Failure Factors Analysis for one part and you do it for all identical parts for the life of your operation. It is a highly accurate and cost-effective maintenance strategy selection methodology.

[Read more…]

Filed Under: Articles, Life Cycle Asset Management, on Maintenance Reliability

by Greg Hutchins Leave a Comment

Disruption is Creating New Work Worlds

Disruption is Creating New Work Worlds

There are lots of lessons to learn from Amazon. Never stop innovating or questioning the fundamentals of your business. Disrupt yourself before others do.
Brad Stone – Journalist & Author

Consulting firms, academics, and consultants are developing models for the Future of Work.   Price Waterhouse Coopers (PwC) developed a scenario called the Future of Work: A Journey to 2022.  The premise of the study is: “disruptive innovations are creating new industries and business models, and destroying old ones.”[i]  PwC outlined three distinct worlds of work: Blue, Green, and Orange.

[Read more…]

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

by Hemant Urdhwareshe Leave a Comment

Confidence Intervals for Mean ( part-2:) : Using t-distribution

Dear friends, we are happy to release this Part-2 of our videos on Confidence Intervals. In this video, Hemant Urdhwareshe explains how to estimate confidence interval of population mean when population standard deviation sigma is not known In such cases, we need to use Student’s t-distribution instead of normal distribution and Z-Score.

[Read more…]

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

by Nancy Regan Leave a Comment

A Big Mistake Organizations Make with Reliability Centered Maintenance

A Big Mistake Organizations Make with Reliability Centered Maintenance

Hi everyone, I’m Nancy Regan, coming to you from The Watermelon Festival in Russellville, Alabama! In today’s video, I share one of the most common mistakes organizations make when it comes to Reliability Centered Maintenance (RCM)—and why this often leads to failed analyses.

Using a simple analogy of growing watermelons, I explain how RCM can go wrong when the right people aren’t involved. Just like watermelons need the right conditions to grow, RCM needs experienced facilitators and equipment experts to ensure the process succeeds.

[Read more…]

Filed Under: Articles, Everyday RCM, on Maintenance Reliability

by Robert Allen Leave a Comment

Systems/Validation Engineering (Part 4)

Systems/Validation Engineering (Part 4)

In this final article of the series, we will cover the right leg of the “V” diagram which illustrates the process of verifying and integrating hardware into the system. 

[Read more…]

Filed Under: Articles, on Leadership & Career, Product Development and Process Improvement

by Semion Gengrinovich Leave a Comment

How to Define Proper Product Reliability Goal Video

How to Define Proper Product Reliability Goal Video

Defining a proper product reliability goal is a critical step in ensuring that a product meets customer expectations and performs adequately throughout its intended lifespan. This also involves a careful balance between the required level of reliability and the associated costs and complexities of achieving that reliability.

[Read more…]

Filed Under: Articles, on Product Reliability, Reliability Knowledge

by nomtbf Leave a Comment

MTBF Use May Reduce Product Reliability

MTBF Use May Reduce Product Reliability

Is MTBF Preventing Your Product From Being Reliable?

MTBF is not reliability. Attaining a specific MTBF does not mean your product is reliable. MTBF use may be the culprit.

Therefore, working to achieve a MTBF value may actually be preventing you from creating a product that mets your customer’s reliability performance expectations.

Actively working to achieve MTBF using the common tools around MTBF may be taking you and your team down the wrong rabbit hole. You may be working to reduce the reliability of your products rather than improving them.

Let’s take a look at a couple of ways the pursuit of MTBF is harmful to your product’s reliability potential and contrary to your customer’s expectations. [Read more…]

Filed Under: Articles, NoMTBF

by Mike Sondalini Leave a Comment

What is the Connection between Equipment Risk and Equipment Reliability?

What is the Connection between Equipment Risk and Equipment Reliability?

When it comes to Risk we have simplified it so much that we have failed Einstein’s advice, “Everything should be made as simple as possible, but not simpler.” It has been made too simple and missed the connection between risk and reliability.

Equipment risk has a direct impact on equipment reliability. What risks you allow your production plant and equipment to suffer will negatively impact its reliability. About 6 months ago I was playing about with the risk equation and a mathematical connection between risk and reliability revealed itself.

[Read more…]

Filed Under: Articles, Maintenance Management, on Maintenance Reliability

by Greg Hutchins Leave a Comment

Disengaged and Stressful Workplaces Create Risk for Organizations

Disengaged and Stressful Workplaces Create Risk for Organizations

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

Gallup’s State of the Global Workplace: 2022 Report found that only 21% of employees are engaged at work and 44% of employees experienced a lot of stress on the previous day – both findings are up 1% from 2021.

In one of the largest studies of burnout, Gallup found the biggest source was “unfair treatment at work.” That was followed by an unmanageable workload, unclear communication from managers, lack of manager support and unreasonable time pressure.

Disengagement and stress in workplaces are good indicators of an organisation’s workplace climate. They can also provide insights into potential issues with the organisation’s culture.

[Read more…]

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

by James Reyes-Picknell Leave a Comment

“Our World,” a Book for your Children

“Our World,” a Book for your Children

Here’s one you probably don’t expect from me. A children’s book! “Our World” is intended to spark curiosity In children about the world around them. It asks questions like, where does the water in my shower come from, how does the electricity in my light bulb get there, and many more. It uses everyday childhood experiences to spark questions.

[Read more…]

Filed Under: Articles, Conscious Asset, on Maintenance Reliability

  • « Previous Page
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • …
  • 251
  • 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

  • Gremlins today
  • The Power of Vision in Leadership and Organizational Success
  • 3 Types of MTBF Stories
  • ALT: An in Depth Description
  • Project Email Economics

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