Maintenance is a key component in SAP’s application suite. Maintenance planning and execution are core functionalities in SAP S/4HANA (on-premise) and SAP S/4HANA Cloud.
Beyond the core, additional functionality for planning and scheduling is available, with which users can automate scheduling and execution processes even further. New scenarios like predictive maintenance leverage IoT to optimize resource utilization and lower costs by combining sensor data with business data and applying machine learning algorithms.
Let’s take a quick look at Maintenance Execution core functionality and its improvements. SAP S/4HANA enables maintenance users to schedule and coordinate resources, parts materials, and equipment access.
In case of incidents, such as a broken pump, an efficient and accurate documentation of the object is required to trigger and execute the repair, which is supported by SAP S/4HANA seamlessly. For example, abnormal noise, related effect and failure mode (possibly a problem notification) can be precisely documented. This detailed malfunction report can be used by the technician to address the issue in an efficient manner.
For example, when the technician needs to order a spare part, S/4HANA supports him by displaying all spare parts applying to the equipment, including their inventory situation and a graphical visualization.
Depending on the situation, the technician can easily add the required spare part to the maintenance order or trigger the part’s procurement.
Second example: Finding root causes by proactively analyzing equipment failures can significantly save costs. SAP S/4HANA now includes the Technical Object Breakdown Analysis App which helps to identify equipments that fail often or take long to repair, and relate this to specific factors like vulnerable locations. The real-time evaluation of statistical KPIs is flexible and makes full use of Fiori analytics capabilities.
Maintenance planning and execution with SAP S/4HANA helps the company execute planned and unplanned maintenance tasks to achieve optimal operations.
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