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06 Oct 2016

Impacts of Poor Quality Data on Maintenance Operations

October 06, 2016Blog

“Productivity and efficiency can be achieved only step by step with sustained hard work, relentless attention to details and insistence on the highest standards of quality and performance.” ~ J. R. D. Tata

Asset-intensive organizations rely on the data in their EAM and CMMS systems to drive the maintenance practices that keep their business running smoothly and profitably. When that data is in disrepair, the effects are often most apparent within the maintenance organization. NRX AssetHub provides software solutions to ensure that your data is of the highest quality, so that the following problems are, and will remain to be, a thing of the past.

The following is an in-depth analysis of the causal effects that poor quality EAM and CMMS data has on various aspects of maintenance operations within your organization.

 

Effective and Efficient Work Management

Effective and efficient work management requires a thorough understanding of the processes and skills required, the work to be performed, and the constraints affecting the work. Organizations cannot accurately define these without accurate records of their assets, and detailed, complete EAM or CMMS data, including well-defined work tasks and maintenance plans.

The average wrench time in many industries is less than 40%. This figure applies even in companies with the world’s leading Maintenance Management software. The problem rarely lies in the system: it’s usually with the quality of the data. If planners and technicians cannot trust the quality of their CMMS and MRO Supply Chain data, they may spend as much as 30% to 40% of their day locating and verifying the information they need to do their jobs.

Incomplete and inaccurate EAM and CMMS data results in:

  • Decreased wrench time
  • Incomplete or incorrect work tasks and maintenance plans
  • Missing skills or inefficient use of specialized skills
  • Sub-optimal maintenance spending when compared to total Replacement Asset Value (RAV)

 

Knowledge Management

The current generation of maintenance workers built careers on their detailed knowledge of maintenance information, such as plant configurations, repair techniques, and spare part requirements. As these experienced workers retire, companies must fill the knowledge gap they leave behind with thoroughly documented IT systems. Systems that provide an accurate, rich presentation of vital maintenance information become critical to companies and their next-generation work force.

Corporations need to adopt effective strategies that leverage both technology and the existing knowledge of their maintenance personnel, subcontractors, and suppliers, to provide them with the right information, at the right. Failure to do so results in incomplete and inaccurate data infiltrating every corner of the maintenance organization, across the enterprise.

Incomplete and inaccurate EAM and CMMS data can lead to:

  • An inability to create comprehensive maintenance plans and strategies
  • An inability to set maintenance best practices that can be adopted across the enterprise
  • Increased risk of environmental, health, and safety issues

 

Maintenance Costs

The most direct cost to an organization with poor-quality EAM or CMMS data is an increase in maintenance costs. Asset-intensive companies typically spend between 5% and 10% of their annual revenues on maintenance. Reactive maintenance is two to five times more expensive than a planned and predictive approach. Planned maintenance based on accurate and reliable EAM and CMMS data can help to avoid rapidly escalating costs.

The following are just a few of the problems that drive up maintenance costs:

  • Critical spare parts that are not stocked and must be sourced urgently
  • Incomplete preventive maintenance plans and task descriptions
  • Obsolete parts catalogs
  • Downtime while waiting for a technician with a particular skill set to become available

Incomplete and inaccurate EAM and CMMS data can lead to:

  • Increased time spent due to missing parts and incomplete information
  • Increased overtime and decreased productivity
  • Under or over utilization of maintenance personnel
  • Unnecessary parts replacement due to inadequate preventive maintenance

 

If you would like to see a demo to learn how NRX AssetHub can help you build high-quality and accurate asset and maintenance data, give us a call.

If you want to find out about this solution or the many other ways NRX AssetHub can help your business, check out the link: http://www.nrx.com/solutions/

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