SAP RDS Asset Analytics KPI’s for Enterprise Asset Management

The purpose of this document is to provide an insight in to the SAP RDS Asset Analytics KPI’s. The document supplements a previous document on ‘Asset Analytics for Enterprise Asset Management’ posted by Peter Huyen which is available on SCN, a direct link to the document is provided below.

As a pre-requisite to understand the SAP Rapid Deployment Solutions Asset Analytics I recommend reading the following:

• Asset Analytics for Enterprise Asset Management by Peter Huyen
  • http://scn.sap.com/community/eam/blog/2012/03/31/asset-analytics-for-enterprise-asset-management
• Asset Analytics presentation by Hemant Rathod – SAP Labs LLC
  • http://events.asug.com/2012ac/2608_asset_analytics_.pdf
• Useful material on SAP RDS EAM at SAP Service Marketplace.
  • You will require a SAP Service Marketplace User ID to access below URL.
  • https://Service.sap.com/rds-EAM
• Asset Analytics KPI’s Detail Information can be accessed through below URL:
  • You will require a SAP Service Marketplace User ID to access below URL.
  • Note: Below URL and screenshot were provided to me by Peter Huyen - thanks Peter
  • https://websmp106.sap-ag.de/~sapidb/012002523100017033542013E/RDS_Cockpit/step-by-step-guide-iframe.html#RDS_EAM_ERP605V2_SERV

Note:

• Due to SAP Copyright Infringement I will not be attaching any documents. For those of you who have access to the SAP Service Marketplace you should be able to access the relevant documents through the URLs provided above.
• For the commonly used standard SAP Reports please check Standard SAP Plant Maintenance Reports

The SAP RDS Asset Analytics solution offers a range of predefined KPI's, these KPI’s have been categorised as:

• Maintainability
• Reliability
• Availability
• Supplies
• Sustainability

As part of the SAP RDS Asset Analytics solution there are 31 predefined KPIs, which are listed below.

The source for the above information is:

• Slide 30 and 31 of the Asset Analytics presentation by Hemant Rathod – SAP Labs LLC - URL provided in the pre-requisite reading section above.
• The Asset Analytics ‘KPI’s Detail Information’ document available on SAP Service Marketplace - URL provided in the pre-requisite reading section above.

Note: You will see a gap in the KPI numbering, this is due to RDS_EAM_028 missing from the list – I did not see RDS_EAM_028 in the ‘KPI’s Detail Information’ Excel document on SAP Service Marketplace.

The below section provides a high-level description of each of the KPI’s listed above. I hope the information provided in this document along with references to other sources will provide you with sufficient understanding of the SAP RDS Asset Analytics KPI’s.

Note: Please contact me if you have any feedback or can help 'fine tune' the KPI descriptions and / or provide formula / formulae for calculating the KPI's.

• RDS_EAM_001  - Total Person-Hour Capacity Available for Maintenance

This measure indicates the total internal as well as external capacity available to perform / execute maintenance tasks.

• RDS_EAM_002  - Capacity for Preventive Maintenance

The measure provides visibility to the capacity of maintenance work which is executed as preventive maintenance and indicates maturity of planning.

• RDS_EAM_003  - Capacity for Predictive Maintenance

The measure provides visibility to the capacity of maintenance work which is executed as predictive maintenance (Condition Based Maintenance). Typically, there could be multiple variants of it: based on planned man hours, available man hours, actual man hours.

• RDS_EAM_004  - Capacity for Breakdown Maintenance

The measure provides visibility to the capacity of maintenance work which is executed as breakdown maintenance. Typically, there could be multiple variants of it: based on planned man hours, available man hours, actual man hours

• RDS_EAM_005  - Percentage of Work Orders for Preventive Maintenance

This measure reflects the percentage of work orders created (completed) in the system as a result of preventive maintenance. The percentage of preventive maintenance orders created will exclude canceled orders as well as orders with the deletion flag. Preventive maintenance can typically be identified through the use of order type or maintenance activity type or planning indicators to understand preventive work from total work.

• RDS_EAM_006  - Percentage of Work Orders for Predictive Maintenance

This measure reflects the percentage of work orders created (completed) in the system as a result of predictive maintenance (Condition Based Maintenance). Predictive maintenance can typically be identified through the use of order type or maintenance activity type or planning indicators to understand predictive work from total work.

• RDS_EAM_007  - Percentage of Work Orders for Breakdown Maintenance

This measure reflects the percentage of work orders created (completed) in the system as a result of a breakdown. Breakdown maintenance can typically be identified through the use of order type or maintenance activity type or planning indicators to understand breakdown work from total work.

• RDS_EAM_008  - Percentage of Work Orders for Emergency Requirements

The measure provides visibility on the percentage of maintenance orders created as a result of an emergency work or after event recordings.

• RDS_EAM_009  - Percentage of Work Orders for Critical Assets

The KPI will indicate the percentage of orders raised against critical plant assets. The measure will be based on identifying orders based on equipment criticality assignment, the ABC indicator for technical objects on maintenance orders.

• RDS_EAM_010  - Percentage of Capacity used for Performing Maintenance Tasks

The measure will identify the percentage capacity being utilized to perform actual maintenance work from the total available maintenance capacity. This assumes all maintenance time including maintenance performed by external resources is confirmed in the system. If time for external resources is not confirmed then the KPI will not reflect a true picture of the capacity used for performing maintenance tasks.

• RDS_EAM_011  - Percentage of Work Orders Resulting from Condition Monitoring

The KPI will provide visibility in understanding the percentage of maintenance orders created as follow-up maintenance post the inspection task. This can be managed through a maintenance order with a specific notification type that can identify 'follow on of condition monitoring‘. This could be enhanced by using maintenance activity type, planning indicator, and order type.

• RDS_EAM_012  - Backlog of Activities

Backlog is the volume of work which remains outstanding for maintenance activities. The measure will reflect the number of orders in released status but not completed.  All maintenance orders which are not technically completed are part of the backlog.

• RDS_EAM_013  - Completion Rate

The measure reflects the percentage of maintenance orders completed by the latest allowed finish date out of the total number of maintenance orders created in the system. Maintenance compliance monitors whether the work is being completed on time (which is determined through consistent risk assessment).

• RDS_EAM_014  - Schedule Adherence

The measure shows the number of maintenance orders which were scheduled and have been confirmed to have started and finished (completed) within the scheduled period. The measure reflects the number of maintenance orders being completed on time within the planning bucket.

• RDS_EAM_015  - Notification Response Time

The measure provides visibility on the time it takes to respond to a notification created by the operations team.

• RDS_EAM_016  - Maintenance Rework

The measure helps identify the number of times an asset fails in the same mode in quick succession after maintenance was performed and completed. For example, the same damage code on the same technical object within 7 days is seen as maintenance rework.

• RDS_EAM_017  - Maintenance Cost as Percentage of Replacement Value

The measure provides visibility of the cost to maintain an asset. It helps determine how cost effective the asset is.

• RDS_EAM_018  - Budget Utilization

The measure shows the approved maintenance budget and how it is being utilized.

• RDS_EAM_019  - Number of Work Orders per Clock Hour

The measure provides visibility on the number of maintenance orders created per hour.

• RDS_EAM_020  - Number of Notifications per Clock Hour

The measure provides visibility on the number of maintenance notifications created per hour. Operators / users of assets regularly create notifications to report breakdown or malfunction. To ensure maintenance team can respond to such maintenance requests with little or no impact on production the KPI helps in identifying when the maintenance planner may be required most within a day.

• RDS_EAM_021 - Mean Time Between Failure (MTBF)

Mean Time Between Failure (MTBF) is a measure of equipment reliability. The MTBF of an equipment is calculated from the total equipment downtime in a specific period reviewed divided by the number of failures in that period. MTBF is an equipment specific measure which is used to identify opportunities to improve equipment reliability.

• RDS_EAM_022 - Mean Time To Repair (MTTR)

Mean Time To Repair (MTTR) is a measure of efficiency of the diagnostic, procurement, maintenance preparation, scheduling, repair and re-instatement process. The MTTR is calculated from the total equipment repair time in a specific period divided by the number of repairs in that period. MTTR is an equipment specific measure and is used to set continuous improvement targets.

• RDS_EAM_023 - Mean Time Between Repair (MTBR)

Mean Time Between Repair (MTBR) is a measure of the average time between repair for component, equipment or units. The calculation is based on total uptime between repair divided by the number of repairs over a period of time.

• RDS_EAM_024  - Technical Availability of Assets

The technical availability of an asset is a measure reflecting the number of hours an asset is available or how many hours this machine can be kept working in a period

• RDS_EAM_025  - Operational Availability of Assets

The operational availability of an asset is a measure which shows the number of hours the asset is operational. The operational availability is calculated by taking the maintenance activities and / or downtime of the asset from the total operational available capacity of the asset.

• RDS_EAM_026  - Number of Stock Outages

This measure will provide visibility on the number of orders for which there was a material shortage / material out of stock.

• RDS_EAM_027  - Orders Delayed Due to Stock Outages

The measure will provide an understanding on the number of maintenance orders which were delayed due to material stock shortage. The calculation is based on the basic finish date of the order which if not adhered to reflects a delay in maintenance. The measure will exclude and not evaluate the maintenance orders where the basic finish date is not maintained.

• RDS_EAM_029  - Subcontracted Work as a Percentage of Total Work

The measure provides visibility on the number of external resource man hours procured to perform maintenance tasks.

• RDS_EAM_030  - Maintenance Request to Correct Safety Incidents

The measure can help identify the number of times a safety incident was recorded and the action taken after the root cause analysis to perform maintenance to an asset to prevent a future incident.

• RDS_EAM_031  - Maintenance Request to Correct Incidents Due to Reported Injuries

The measure can help identify the number of times an injury was recorded which resulted in the root cause analysis and led to maintenance being performed on an asset to prevent future incidents.

• RDS_EAM_032  - Maintenance Request to Correct Incidents related to Environmental Compliance

The measure can help identify the number of times an environment related incident was recorded.

I hope you find the document useful and that it can be used as a basis to understand the SAP RDS Asset Analysis KPI's. As mentioned above, if you have any feedback or can help update the document with additional detail on the KPI's including formula / formulae used to calculate the KPI' then please feel free to contact me.