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 / Embracing Randomness

by Robert Kalwarowsky Leave a Comment

Embracing Randomness

Embracing Randomness

“You get pseudo-order when you seek order; you only get a measure of order and control when you embrace randomness.” Nassim Nicholas Taleb

Are you embracing randomness?  There’s a misconception that once you determine a failure mode is random that your reliability work is over.  That’s not the case, you’re just starting.

3 Ideas to Attack Your Random Failure Modes

  • How Can You Reduce the Failure Rate? – It may be random when you drive over a nail on your commute to work but you can still solve the problem by changing your route or removing the nails from the road.  This applies similarly to your facility.  It may be random when your staff over-drive the equipment or put the wrong lubricant in the machinery, but you can solve these failures by educating your people.  Further investigation into the failures that make up your random distribution is required, and various types of solutions may be useful.
  • Can You Detect the Failure? – As long as the time from the point at which the failure starts (P) to the point at which functional failure (F) happens is long enough (PF Interval), condition monitoring can still help you detect the failure and plan and schedule the repair/replacement.
  • Can You Mitigate Risk? – Another good strategy is mitigating the consequence of failure.  Holding a spare, having a good job plan for installation/repair already prepared, etc. can be useful strategies for reducing the cost of failure and, ultimately, adding value to your organization.

When you run a Weibull calculation and you determine a failure mode is random, your work is just beginning.  How can you reduce the failure rate?  How can you detect the failure?  How can you reduce the impact of a failure?  These are questions to answer to ultimately embrace randomness.

Reliability Never Sleeps,

Rob

Filed Under: Articles, on Maintenance Reliability, Rob's Reliability Project

About Robert Kalwarowsky

Robert Kalwarowsky joined Fluid Life in the spring of 2014 and currently focuses on machine learning, lubrication & reliability audits and reliability product development. Previously, Rob worked as a Reliability Engineer at Teck Resources and his work focused on condition-based monitoring analytics, failure prediction, risk analysis and spare parts optimization. He also has consulting experience in financial modeling with an emphasis on optimization and cost benefit analysis. Prior to that, Rob graduated from the Massachusetts Institute of Technology (MIT) with a Bachelor of Science degree in Mechanical Engineering with a minor in Management.

« RCM is NOT just for aircraft!
Action Strategies to Reduce Occurrence Risk »

Leave a Reply Cancel reply

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

Articles by Robert Kalwarowsky
in the Rob's Reliability Project Article 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 Posts

  • 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