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 / Myth Busting 22: We can’t trust OEMs

by James Reyes-Picknell Leave a Comment

Myth Busting 22: We can’t trust OEMs

Myth Busting 22: We can’t trust OEMs

In the late 90’s, the show “60 Minutes” did showed that an average economy car worth $15,000 new would cost about $95,000 if it was to be built from aftermarket parts, and adding in an allowance for your own labor, excluding the uni-body (which wasn’t for sale). It is more or less a given that manufacturer’s make more money on parts for their products than on the initial sale of the product. The parts market is so lucrative that there is an entire industry of aftermarket, non-OEM parts manufacturers with their own reverse engineering capabilities to sell parts at costs lower than the OEMs. If you’ve ever needed an OEM part in a hurry, the premiums are even higher and lead times can be longer than the aftermarket parts “pirates,” as they are sometimes called.

Anyone working in spare parts management, storerooms, procurement for Maintenance supplies and parts, knows that part numbers change even if the item doesn’t. OEMs will change numbering in a bid to thwart the aftermarket pirates who do indeed struggle to keep up with part numbering changes. It plays havoc with your stores too! I’ve yet to find a storeroom in a plant or other industrial facility where there are no instances of the same item with multiple part numbers and names. In fairness to the manufacturers, that’s due in part to lack of consistency and standards on the part of the user. Never-the-less, frequently changing part numbers creates a moving target as well.

From the OEM perspective it would be ideal if end users simply relied on them entirely, but that doesn’t happen often in most industries. If the OEM is relied upon, as it is in cases where the OEM performs maintenance (e.g.: mining vehicle fleets) the whole part numbering and management challenge lies with the OEM. Are their costs higher than they need to be? Probably, but you do get what you’ve contracted for (availability for example) and some savings because you don’t need to manage the parts yourself. I’ve found that outside North America, there is greater trust in OEMs, increased likelihood of using OEM parts and less pirating.

My sense of it, is that this challenge of high costs for parts is not going to go away anytime soon, if ever. The best solution is to lower demand for parts but having highly reliable assets. But the challenge there is that highly reliable assets tend to be more expensive to buy. Keep in mind that we do get what we pay for!

Distrust of manufacturers, those who supply us with the very assets we need to be productive, runs deep. Many believe, and with some justification, that their products are designed to fail more often than they could be. I don’t believe that designs are intentionally rigged to fail often, but I do believe that quality of engineering, materials, workmanship and parts do suffer because of industry’s relentless pursuit of low cost. To some extent, manufacturers fall victim to their customers’ demands for cheap in preference to “good”. Eliminate cost from the buying decision, or replace it with a defensible estimate of Life Cycle Cost, and you might find this situation changes.

Asset Management is a discipline that encompasses the management of all aspects of our physical assets throughout their life cycle so that we get good value from them. Value that we get what we want in terms of performance (which can include safety, environmental, productive, etc.) at low risks and reasonable costs. A good way to asses that is with Life Cycle Cost analysis. We’ve all heard of this, but few actually practice it. It looks at all cash flows for competing alternatives (e.g.: two or more different design options) over a period of time (often 10 years), discounts them all back to a standard year baseline and looks for the lowest of those total “life cycle” costs. In these analyses, it’s not uncommon to see that higher capital costs can be offset by lower maintenance and operating costs, higher resale value or longer life (leading to deferred capital replacements).

As we get more comfortable with these Asset Management concepts and apply them, we will see a shift away from low cost bidder winning every time, towards value driven decisions. High reliability and long asset life, provided it can be achieved at a reasonable capital cost, will become major drivers. Today, only the more sophisticated companies and their engineers do this. That is changing. Perhaps as it does, then so too will the misconceptions about manufacturers and their motives.

Filed Under: Articles, Conscious Asset, on Maintenance Reliability

About James Reyes-Picknell

James is the best-selling author of “Uptime – Strategies for Excellence in Maintenance Management”, now in its 3rd edition, co-author of “Reliability Centered Maintenance – Re-engineered”, co-founder and Principal Consultant of Conscious Asset.

He is a Mechanical Engineer, graduate of the University of Toronto and has more than 44 years working in Operations, Maintenance, Reliability and Asset Management.

« Choosing the Delivery Method for a Construction Project Can Be Risky
Part 3: The 4 Basic Physical Failure Mechanisms of Component Failure: Overload »

Leave a Reply Cancel reply

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

Conscious Asset series

Article by James Reyes-Picknell

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