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 » Episode » Rooted in Reliability: The Plant Performance Podcast » 269 – The Capabilities Trap with Simon Jagers

by James Kovacevic Leave a Comment

269 – The Capabilities Trap with Simon Jagers

The Capabilities Trap with Simon Jagers

Welcome Simon back to the podcast. Simon is the founder of Samotics and has been involved in technology throughout his Career. Today we will talk about capabilities trap. Although briefly, tell us more about you:

Involved with technology, our guest focuses on: machine learning, and the conversion of data into information.

In this episode we covered:

  • What is a capabilities trap?
  • It basically refers to sacrificing everything for the short-term, right?
  • Why should we be aware of capabilities trap? How do we manage it?

What is a capabilities trap?

Despite its inherent operational and financial benefits, technology is sparingly adopted across all industries. Prof. John Sterman explains this in the article “The Capability Trap: Prevalence in Human Systems”. Briefly, the articles states;

  • Production capacity depends on capabilities and the number of hours used.
  • Capabilities refers to the quality of the tools and the skills of the people in the process.
  • The trap begins when there is demand for high output for a short-term achievement-the team then starts to put in more hours, reduce maintenance activities, compromise on safety and quality, and reduce training hours.
  • The long-term goals are thereby compromised because capabilities start to erode and performance eventually drops.

 

It basically refers to sacrificing everything for the short-term, right?

Yes, because unlike investing in long-term improvement processes (training, technology, maintenance), there are immediate short-term gains.  Besides, investment in these improvement processes has a “worse before better” phase. Sometimes the benefits might arise but it will be difficult to conclusively link them to the investments.

 

Why should we be aware of capabilities trap? How do we manage it?

Neglecting capabilities trap will result in reduction of production capacity over time. Machines will fail, the organization will fall back in terms of technology, and people’s skills will erode. If you opt for these improvements, you must be willing to withstand the “worse before better” period. Though it is a challenge because managers are judged on short-term gains.

 

How do managers create a balance between being judged on short and long-term gains?

  • Manage expectations- take the long-term view and not expect an immediate turn around in the initiatives.
  • Pay attention to the maintenance KPIs
  • Plan for the long-term
  • Invest in capabilities that can be executed both in good and tough times.
  • Even in a reactive maintenance environment, set aside some time (even 2hours per week) to focus on long-term investments.

 

What does capabilities trap mean to maintenance innovation technology?

Investment in technology has a lot of benefits but you shouldn’t always expect immediate returns. After a new technology is adopted performance will drop in the learning period.

In reliability, you must focus on the end result while capitalizing on the present opportunities. Pay attention to the technology; some can do one thing well (isolated tech) but not fit in the system in pursuit of the goal.

Have a clear road map because the more the complexities the more capabilities trap will manifest. If it gets too complex, desire for immediate performance rises and people sacrifice the long-term goal.

 

We call it the “value of despair”-trying to adopt new systems but people are still stuck in the old culture and eventually performance drops.

People often blame culture because it cannot be quantified to reveal culpability in the team. Prof. Sterman takes a systems modelling approach to explain the performance drop; If you work longer hours there will be no time to innovate. Consequently, your capabilities will erode.

Although we cannot quantify culture, it has a direct influence on organizational performance.

 

How do we overcome the capabilities trap?

  • Long-term planning and vision – clear roadmap; calculate a realistic business case for the technology.
  • Focus on the needed technology and make it scalable.
  • Build and ecosystem of technology partners.
  • Drive transformation from the top.
  • Most importantly Acknowledge the “worse before better” phase and to avert it; invest in technology with a long time frame but daily useful.
  • Have a shared understanding of the roadmap and invest in relationships.

 

Have you seen the results of ignoring the capabilities trap?

Yes. At a personal level; opting to work harder when things do not work out instead of being smart about it. Also, USA Airlines opted to lay off its skilled workers to cut costs during the pandemic but now travels have resumed and their ratings are plummeting.

 

What is the key takeaway?

Expect the “worse before better” phase in adoption of technology. Take the long-term view to help through it.

 

Eruditio Links:

  • Eruditio
  • HP Reliability
  • James Kovacevic’s LinkedIn
  • Reliability Report

Simon Jagers Links:

  • www.samotics.com
  • Samotics on Twitter (https://twitter.com/samotics)
  • Samotics on Linkedin (https://www.linkedin.com/company/samotics/)
  • Past Simon Jagers Episodes
  • How to Save a Leaky Ship
  • Book: Where Good Ideas Come From by Steven Johnson
  • Book: What Technology Wants by Kevin Kelly
  • Book: Abundance: The Future is Better Than You Think by Peter Diamandis
  • Rooted in Reliability: The Plant Performance Podcast
    Rooted in Reliability: The Plant Performance Podcast
    269 - The Capabilities Trap with Simon Jagers
    Loading
    00:00 /
    RSS Feed
    Share
    Link
    Embed

    Download filePlay in new window

Download RSS iTunesStitcher

Rooted In Reliability podcast is a proud member of Reliability.fm network. We encourage you to please rate and review this podcast on iTunes and Stitcher. It ensures the podcast stays relevant and is easy to find by like-minded professionals. It is only with your ratings and reviews that the Rooted In Reliability podcast can continue to grow. Thank you for providing the small but critical support for the Rooted In Reliability podcast!

Filed Under: Rooted in Reliability: The Plant Performance Podcast, The Reliability FM network

About James Kovacevic

James is a trainer, speaker, and consultant that specializes in bringing profitability, productivity, availability, and sustainability to manufacturers around the globe.

Through his career, James has made it his personal mission to make industry a profitable place; where individuals and manufacturers possess the resources, knowledge, and courage to sustainably lower their operating costs.

Leave a Reply Cancel reply

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

Rooted in Reliability podcast logo

The plant performance podcast

image of James Kovacevic
by James Kovacevic


Subscribe and enjoy every episode
Google
Apple
Spotify

Join Accendo

Receive information and updates about podcasts 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