Hello everyone, our organization utilizes 4 different types of work orders: breakdown, unplanned, planned, and preventive/predictive. We believe that all planned work orders should stem from either breakdowns, unplanned issues, or preventive/predictive maintenance. Our goal is to establish a link between planned work orders and their source work orders to analyze our backlog origins. Additionally, we aim to assess the efficiency of predictive tasks by tracking the number of planned work orders originating from predictive maintenance. It is possible that our current method for evaluating predictive efficiency may not be optimal, and we are open to exploring alternative approaches for tracking backlog sources. It is crucial for us to establish traceability from an initial event to the corresponding corrective actions to ensure that issues are effectively resolved. Have any of you successfully implemented this type of tracking in SAP Plant Maintenance? Thank you for your insights!
Hi Pascale, Although we do not utilize SAP Plant Maintenance, our CMMS system provides us with exceptional tracking capabilities. The process of "Follow Ups" at our facilities involves following up on planned work. For example, if a technician discovers a repair that falls outside of a preventive maintenance task, it is considered follow-up work. Repairs that are identified and reported are classified as corrective maintenance work orders. If additional materials need to be ordered or planning is required to complete the repair, we categorize it as corrective maintenance and adjust the status accordingly. In our previous CMMS system, we differentiated follow-up work orders by adding a "-1" to the original work order number. Additionally, we labeled the description of follow-up work orders with "(F/U)" for easy identification in searches. This method helped us track and manage follow-up work efficiently. ------------------------------ Bobbie Schwaeble, CRL ------------------------------ Original Message Original Message: Sent: 11-07-2019 11:59 From: Pascal Bellerose Subject: Followup maintenance Hello, Our facility operates with 4 different types of work orders: breakdowns, unplanned, planned, and preventive/predictive. We believe that planned work orders should be linked to source work orders, enabling us to understand the origin of our backlog. Our goal is to analyze the relationship between planned work and other types of maintenance tasks, such as predictive work. We are open to exploring new approaches for tracking predictive maintenance efficiency and identifying backlog sources. It is crucial for us to trace events back to corrective actions to ensure effective issue resolution. Have any of you successfully implemented this type of tracking in SAP Plant Maintenance? Thank you for your help!
Hi there, I think it's excellent that you guys are aiming for traceability in your work orders, it's certainly a smart way to optimize your operations. In my experience with SAP Plant Maintenance, you might find success using the "Origin of Malfunction" field for this. You could possibly establish codes within that field that correspond to your different types of work orders. For example, breakdown (BD), unplanned (UP), planned (P), and preventive/predictive (PP). Then, when a planned work order is created based on any other type of work order, use that specific code. This should allow you to track origin effectively. Just make sure to properly train the staff to use these codes consistently.
✅ Work Order Management
✅ Asset Tracking
✅ Preventive Maintenance
✅ Inspection Report
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Answer: - The organization utilizes 4 different types of work orders: breakdown, unplanned, planned, and preventive/predictive.
Answer: - The goal is to analyze the backlog origins and assess the efficiency of predictive tasks by tracking the number of planned work orders originating from predictive maintenance.
Answer: - Tracking backlog sources helps in understanding where work orders originate from, while evaluating predictive maintenance efficiency ensures that planned work orders are effectively addressing issues at their root.
Answer: - The organization is open to exploring alternative approaches for tracking backlog sources and improving the evaluation of predictive maintenance efficiency.
Answer: - The discussion thread seeks insights from others who have successfully implemented this type of tracking in SAP Plant Maintenance.
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