Optimize Adhoc Reporting in Reliability Centered Maintenance (RCM) Operations

By Abid Mohammed on Jun 14, 2017

I recently had an interesting conversation with a specialist in the Enterprise Asset Management area of an organization in the Utilities sector. They are transitioning to a Reliability Centered Maintenance (RCM) strategy from a Periodically Scheduled Maintenance (PSM) strategy. RCM optimizes the number of maintenance operations based on physical inspections and a combination of several measurement points of the equipment. For example, When equipment is due for maintenance and is physically inspected, it may be determined that it doesn’t actually need maintenance. It’s placed to serve for 10 more months. RCM

The RCM approach can save significant maintenance costs for organizations in asset-heavy industries like Oil & Gas, Mining, Utilities, etc. To be successful, it’s extremely critical for organizations to make sharp insightful data-driven decisions. Inspection Engineers should have required tools to extract live data from business systems. They need data for a set of measurement points for the equipment, and other reference data like functional location, etc. This data may reside in disparate systems which may or not be integrated. Data may potentially be incomplete or inaccurate, making it very hard to make decisions. I’ll circle back to data quality in an upcoming post, and but for now, let’s focus on agility and flexibility to easily extract live data.

Organizations traditionally use business intelligence tools or reports built by IT. The key questions to ask when you’re deciding on a specific tool or approach are:

  • Are you able to extract live data? If not, how old is the data?
  • Are you getting all required data (including reference data) across different modules in a single report?
  • How flexible is the tool to change input conditions, and the desired output fields based on changing business requirements?
  • Is the tool IT-centric, or do you need them for creation, maintenance, and usage?
  • Will you be able to add rules on top of extracted data? If yes, to what level of complexity?
  • Does it have any limitations on bytes of data extracted i.e. the number of records, number of fields, or total data volumes?

A well-planned approach for RCM can help organizations gain an enviable competitive advantage. Are you ready to embrace the challenge?