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 / Articles / on Product Reliability / Apex Ridge / Lighting Fast Reliability Engineering

by Adam Bahret Leave a Comment

Lighting Fast Reliability Engineering

Lighting Fast Reliability Engineering

A comprehensive reliability engineering program for a new product is a large investment.  Not just in dollars, but more importantly, in time.  No matter if you are a Fortune 500 company or a startup in your second year, time is always the freight train bearing down on you without mercy. I am going to give you a simple recipe I use for making a highly reliable product when that train horn is blaring and only getting closer.

Here is the recipe:  HALT, ALT, and RG.

This is what they do:

Highly Accelerated Life Testing (HALT) provides design robustness recommendations in less than a week with an investment of three prototypes and $8,000 of lab expenses.

Accelerated Life Testing (ALT) characterizes your primary wear-out failure mode for the design. Not knowing when the product’s life will end is one of the biggest questions in any program. ALT can answer that question and it can be completed in just a few weeks or months. This time is not a burden because ALT is happening in parallel to other program activities, and with little attendance. Keep in mind that cost varies significantly depending on product type because testing sometimes requires larger sample sizes. It would be safe to estimate around 15 to 25 units and $300/day for lab time. If your product costs $150K/unit, don’t despair, there is always a way to test with specialized sub-assemblies.

Reliability Growth (RG) provides a statistical confidence that your design will perform to its reliability goal in the field.  This is the second big question, “is it good enough,” that is always lurking as a program progresses and big decisions on resources and timelines are being made. In my opinion, RG is totally free.  You can test as many or as few units as you like and the time invested would have been spent anyway.  In actuality, more time is usually spent without RG because the initiative to demonstrate reliability is neither organized nor efficient.  RG is pretty much just accomplishing what you were going to attempt anyway, demonstrating confidence in reliability before shipping, but doing so using a proven, highly efficient, and effective method. It takes longer to build a house without an architectural plan than if you had simply stopped and taken the time to make a plan first.

So, when do we implement these three powerful tools?

ALT can be implemented as early as at first concept.  It does not necessarily need a completed design.  If we do our homework and can determine the primary wear-out failure mode and its primary stress to failure mechanism, physics of failure, we can simply create a sample that demonstrates just the mechanism. At this point, we can start our test.

HALT can be carried out as soon as the first prototype is available.  We aren’t looking for a completed design, and in fact, that is not optimal.  The Beta, or manufacturing prototype phase, is usually too late in the process to provide input that can be implemented without a case for mitigating a disaster. Making that case is almost impossible and at that point we would have already lost the opportunity for changes that we know surely would mitigate those unforeseen incidents. 

RG can be started when we have a system that represents about 85% of what the final product will be.  That point is usually at Beta or just before Manufacturing prototype. It continues long into the product’s actual field life as field data gets integrated into the model, continuing to provide valuable information about design performance.

Your Mission:

Budget out time and test units for HALT to be used in the prototype stage.  Don’t negotiate and try to squeeze it in once everyone is already scrapping to see who gets to use the first prototypes.

For ALT, have the team sit down and combine their engineering smarts to identify what the primary wear-out physics of failure is. You can start when the design is only a napkin sketch.

For RG, educate the team on how a Reliability Growth program works. Do this no later than the prototype phase; the knowledge needs to ruminate and influence initiatives the team was already planning on. Once a team understands RG, it is shocking how easily an RG program manifests itself out of nowhere. It’s a lot like watching a flower bed bloom from seemingly nothing, all that was needed was to drop a handful of seeds in the ground a few months earlier and let nature take over. RG works itself out like this because it’s simply doing something that the team intended to do anyway, but in a manner that is planned out in advance using proven methods. Plain and simple.

-Adam

Filed Under: Apex Ridge, Articles, on Product Reliability

About Adam Bahret

I am a Reliability engineer with over 20 years of experience in mechanical and electrical systems in many industries. I founded Apex Ridge Reliability as a firm to assist technology companies with the critical reliability steps in their product development programs and organizational culture.

« Jim Toney – Future of Work – Quality – Interviewed by James Kline
Reliability Testing – Product vs. Materials »

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Article by Adam Bahret
in the Apex Ridge series

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