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
      • Breaking Bad for Reliability
      • 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
    • Special Offers
    • 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 » on Product Reliability » Reliability Knowledge » R99 vs. 1 ppm

by Semion Gengrinovich Leave a Comment

R99 vs. 1 ppm

R99 vs. 1 ppm

Achieving 99% reliability versus 99.9999% reliability (1 part per million failure rate) represents a massive leap in quality and performance, especially for electromechanical devices in the automotive and aviation industries. The efforts required to reach these levels of reliability differ significantly:

Achieving 99% Reliability

For automotive applications, 99% reliability is often considered a baseline standard per basic sub component. This level typically requires:

1. Basic quality control measures during manufacturing

2. Standard testing procedures

3. Routine maintenance schedules

4. Moderate redundancy in critical systems

In the automotive industry, this level of reliability is generally achievable through:

– Robust design practices

– Careful component selection

– Basic failure mode analysis

– Standard environmental testing (temperature, vibration, etc.)

Achieving 99.9999% Reliability (1 part per million):

This level of reliability, often required in aviation and critical automotive systems, demands extraordinary efforts:

1. Extremely rigorous design and testing processes

2. Advanced materials and manufacturing techniques

3. Extensive redundancy and fail-safe mechanisms

4. Comprehensive failure mode and effects analysis (FMEA)

5. Accelerated life testing and stress testing

6. Continuous monitoring and predictive maintenance

7. Strict quality control throughout the supply chain

The aviation industry, in particular, employs several additional strategies to reach this level:

– Extensive use of redundant systems (often triple or quadruple redundancy)

– Rigorous certification processes (e.g., FAA regulations)

– Extremely detailed documentation and traceability

– Regular inspections and part replacements, often well before expected end-of-life

– Sophisticated health monitoring systems

– Extensive pilot training on failure scenarios

Key Differences in Effort:

1. Design Phase: Aviation components undergo much more extensive modeling, simulation, and analysis. Every potential failure mode must be identified and mitigated.

2. Testing: While automotive components might undergo thousands of test cycles, aviation components often go through millions of cycles under various extreme conditions.

3. Manufacturing: Aviation-grade manufacturing requires extraordinarily tight tolerances, often using specialized processes and materials.

4. Quality Control: 100% inspection is common in aviation, whereas automotive often uses statistical quality control methods.

5. Maintenance: Aviation maintenance is far more frequent and thorough, with many components replaced based on flight hours rather than observed wear.

6. Regulatory Oversight: Aviation is subject to much stricter regulatory requirements, necessitating extensive documentation and certification processes.

7. Cost: Achieving 99.9999% reliability often costs orders of magnitude more than 99% reliability, due to the exponential effort required to eliminate those last few failure possibilities.

8. Innovation Pace: The automotive industry can generally innovate faster, while aviation’s need for extreme reliability slows the adoption of new technologies.

In conclusion, while both industries strive for high reliability, the aviation standard of 99.9999% requires a level of effort, precision, and investment that far exceeds what is typically seen in automotive applications aiming for 99% reliability. This extreme level of reliability is crucial in aviation due to the catastrophic consequences of failures, whereas in automotive applications, a balance is often struck between reliability, cost, and performance.

Filed Under: Articles, on Product Reliability, Reliability Knowledge

About Semion Gengrinovich

In my current role, leveraging statistical reliability engineering and data-driven approaches to drive product improvements and meet stringent healthcare industry standards. Im passionate about sharing knowledge through webinars, podcasts and development resources to advance reliability best practices.

«  Developing Maintenance Strategy for a Sheet of Paper 
Failure Happens – It Is What Happens Next That Matters »

Leave a Reply Cancel reply

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

Reliability Knowlege series logo Photo of Semion GengrinovichArticles & Videos by Semion Gengrinovich
in the Reliability Knowledge article & video series

Recent Posts

  • Failure Happens – It Is What Happens Next That Matters
  • R99 vs. 1 ppm
  •  Developing Maintenance Strategy for a Sheet of Paper 
  • Automating Risk Management
  • Do Reliability Centered Maintenance Working Groups Really Guess?

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

© 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.