SAP PM Tutorial: Creating Catalog Profile Part 4

Step by step illustration of how to create catalog profile in SAP EAM: object code, damage code, activity code and cause code

This is part of comprehensive SAP PM, SAP EAM, SAP S/4 HANA Asset Management training that is ideal for maintenance technicians, maintenance planners, schedulers, reliability engineers or any SAP PM/EAM enthusiasts. The training covers the topics from both functional and technical perspective. The topics covered in this and other videos in this series include working and setting up organizational unit such as company code, planning plant, and controlling plant among others.

The training also covers the process of defining and configuring technical locations, equipment, equipment bill of materials and all the information required to install and manage those assets such as plant section, plant area and work center. Other topics that are covered in this training include the set up of warranties and counters, number ranges, control keys and other aspects of maintenance such as maintenance strategies, task list and documents.

This training covers knowledge and skills required to work with both ECC SAP PM/EAM module and SAP S/4 HANA Asset Management. We have illustrated full examples using the Fiori apps both from a functional and configuration perspective.

This training is a good supplemental information for those studying for SAP S/4 Asset Management certification exam - SAP Certified Application Associate - SAP S/4 HANA Cloud (public) - Asset Management implementation

Other topics that are covered in this series include the Intelligent Asset Management (IAM) Training. The three components that are covered in detail include the;
AIN - Asset Intelligent Network : This is where you allow collaboration of all the stakeholders in the asset life cycle. The key stakeholders here is the manufacturer (OEM), customer and the service providers
ASPM - Asset strategy and performance management is all about pulling together the elements of asset strategy such as RCM (reliability centered maintenance), FMEA ( Failure Modes and Effects Analysis), Asset criticality where we look at probability of asset failure, detectability of a failure and the consequences.
PAI - Predictive analytics insights - this is where IOt is integrated in to the whole solution for where indicators such as pressure or temperature indicator are set up to operate within a set threshold. Alerts and job notifications are generated whenever the thresholds are breached. This and real time tracking of sensor data provides the data needed for predictive and prescriptive maintenance