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 / 5 Ways To Reduce Your Overall Maintenance Workload

by Bryan Christiansen Leave a Comment

5 Ways To Reduce Your Overall Maintenance Workload

5 Ways To Reduce Your Overall Maintenance Workload

Maintenance of different equipment within a facility remains a core enabler of improved productivity and efficiency of plant processes. Poor maintenance practices lead to machine downtime, increased operational costs, and increased maintenance workloads.

Reducing maintenance workload can’t be done overnight, but it is a goal worth pursuing. Less maintenance work performed (without an increase in reactive maintenance work) means less resources spent – fewer spare parts used, less overtime work, and improved employee satisfaction that can actually increase the average quality of performed maintenance work.

Let’s check a few ways in which maintenance teams and plant managers can effectively cut down maintenance workloads.

Adoption of suitable CMMS combined with predictive maintenance

Different maintenance strategies operate on different maintenance workloads. For example, it is obvious that when you schedule maintenance work using condition monitoring technology and predictive algorithms, the amount of work performed will be close to optimal, eliminating chances where you might be doing excessive maintenance. You can then combine PdM with CMMS to automate part of your WO process by letting CMMS automatically schedule tasks when sensors show certain levels of deterioration (or based on other triggers).

Additionally, CMMS solutions with an inventory module can also help maintain a lean inventory list, allowing teams to efficiently manage spares and tools necessary for either proactive or reactive maintenance needs. Availability of adequate spare parts and tools ensures that maintenance operations are carried out at the designated time, preventing a situation where a task has to be repeated or postponed in the middle of its execution.

Lastly, running maintenance tickets through CMMS ensures that no work is forgotten or duplicated, which again reduces the total amount of time that will be spent on unproductive maintenance work.

Maintenance Planning, Scheduling and Work Allocation

Planning and scheduling matches qualified teams to specific maintenance tasks, assigning unique work tickets to list of maintenance tasks, and preventing clashes in work assignment. Planning assists teams to map out appropriate communication channels while undertaking maintenance.

Workloads can be reduced by allocating more maintenance personnel to demanding maintenance tasks. Some work intensive tasks require additional personnel on site. For example, there might be a maintenance task that takes an hour to perform alone, but only 20 minutes if it is done by two technicians. Doing some simple math shows you how having two technicians on that task actually saves you 20 minutes.

Prioritization of tasks forms a critical part of maintenance scheduling, allowing teams to work on highly critical tasks. A well-structured priority list will ensure tougher tasks are carried out ahead of simpler maintenance tasks. Failure to plan or manage work priority can overwhelm maintenance teams and cause a huge pile up of tasks, which can lead straight to reduced performance. Luckily, planning and managing work can be optimized using CMMS system or a simple maintenance ticketing system.

Effective Root Cause and Failure Mode Analysis

Unplanned machine failures cause avoidable downtime and a spike in maintenance workload. Preventive some of those failures in the future require some investigative work.

The huge workloads can be reduced by maintenance teams trying to establish the root cause of the problem. For instance, maintenance teams may be called upon to repair a huge gas leak within a production plant. Replacement of gas pipes may not entirely solve the problem, especially if it actually arose from a faulty pressure gauge. Proper root cause analysis will enable the teams to pinpoint the main cause of the issue and avoid a recurrence.

Proper identification of the failure root causes, as well as FMEA analysis, will advise the most appropriate course of action. It will help maintenance supervisors to adjust their maintenance schedules by eliminating unnecessary maintenance tasks and focusing only on work that has the highest chance to prevent future failures.

Continuous technician and machine operator training

Skilled maintenance technician that is confident in their work, when compared with someone who is unsure and inexperienced, is bound to finish a given task in a shorter time without compromising on the quality of the performed work. Proper training creates familiarity with maintenance requirements (and assets), which reduces workloads as technicians are capable of handling complex tasks correctly and quickly at first instance. Doing the work correctly the first time means nobody has to waste time cleaning up the mess left by their colleague. This reduces the repetition of work, which translates to reduced maintenance workload.

Similarly, it is important for machine operators to know their assets. They need to understand the safety requirements, operating guidelines, and working limits of equipment. Equipping operators with basic maintenance knowledge ensures that errors are reported in advance and rectified appropriately, thus reducing workloads. Ambitious departments can even try to implement autonomous maintenance, where routine maintenance tasks are given to operators to free up maintenance techs for more complex tasks.

Conclusion

Adopting these approaches can lead to a compounding effect and significantly assist maintenance teams to better distribute and manage workloads at any given time. This directly translates to cost savings, improved plant efficiency, and increased productivity.

Filed Under: Articles, CMMS and Reliability, on Maintenance Reliability Tagged With: CMMS, Maintenance scheduling, Predictive maintenance

About Bryan Christiansen

Bryan Christiansen is the founder and CEO at Limble CMMS. Limble is a modern, easy to use mobile CMMS software that takes the stress and chaos out of maintenance by helping managers organize, automate, and streamline their maintenance operations. While his primary experience is in software engineering, developing Limble required him to gain a deep understanding of the maintenance industry.

« Infrastructure Is Not a One Time Investment
Taking Care of Our Equipment Requires More than just Proactive Maintenance »

Leave a Reply Cancel reply

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

Articles by Bryan Christiansen
in the CMMS and Reliability 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