The Impact of Poor CMMS and EAM Operations Data Quality

The goal of operations is to successfully manage assets during day-to-day production and ensure that they deliver the expected capacity, with the best use of resources, as safely as possible.

Operational Readiness

The goal of any major capital project or modification is to deliver new assets that:

  • Support the original design production requirements
  • Achieve revenue goals set out in investment plans
  • Meet necessary safety and regulatory requirements

Operational readiness focuses on the people, processes, and systems that collectively define the operational capability and future asset life cycle requirements for continued operations. The information comes from many sources and is of varying levels of completeness and quality. All of the information must be brought together and harnessed to deliver an optimal level of operational readiness.

Incomplete and inaccurate EAM and CMMS data makes it difficult for operations teams to:

  • Develop a comprehensive strategy for maintaining an asset in full production
  • Understand how process or unplanned failures can occur
  • Safety-test alternative methods for returning to production
  • Ensure an asset works under multiple test regimes and in multiple environments
  • Ensure the data adheres to corporate standards
  • Start up operations on schedule

Operational Excellence and Effectiveness

Operational excellence stresses the application of principles, systems, and tools toward the sustainable, continuous improvement of key performance metrics.

Incomplete and inaccurate EAM and CMMS data results in:

  • An inability to accurately measure performance of systems, assets, and people
  • The inability to properly plan and schedule maintenance activities
  • Unplanned stoppages, increased downtime, and production loss
  • Increased emergency asset replacements
  • Higher capital budget expenditures
  • Decreased production capacity and output
  • Decreased product quality