Asset assessment
Review critical assets, maintenance strategies, history, condition sources and reliability priorities.
Illustrative Case Study — Hypothetical Transformation ScenarioRefinery Asset Management · 05
Predictive Maintenance & Asset Reliability: An Illustrative Scenario
A hypothetical integrated refinery connects asset master data, maintenance history, condition signals and SAP maintenance planning.
These illustrative scenarios are based on common industry challenges. Client profiles, project scopes and outcome targets are hypothetical and are not representations of completed customer engagements.
CLIENT ENVIRONMENT
A representative operating context.
Client profile
Large integrated refinery and petrochemical facility operating high-value rotating equipment.
Illustrative footprint
2,000 critical assets · Pumps, compressors and rotating equipment · Multiple operating units · Ten-month pilot and rollout scenario
Transformation context
Disconnected maintenance records and reactive scheduling limit asset condition visibility and plant reliability planning.
THE CHALLENGE
Where complexity becomes operational drag.
01
Unexpected equipment failures
02
Inconsistent asset master data
03
Reactive maintenance scheduling
04
Condition data not connected to work planning
ILLUSTRATIVE SOLUTION
Connect the process, data and decision points.
Integrate asset master data, maintenance history and condition-monitoring inputs, then connect validated analytics recommendations with SAP maintenance planning and work-order processes.
- Asset hierarchy and master-data review
- Maintenance history and notification design
- Condition data integration assessment
- Analytics and recommendation governance
REFERENCE ARCHITECTURE
A connected SAP core with governed touchpoints.
A conceptual architecture for discussion; final design depends on the target landscape, interfaces, controls and delivery scope.
SAP PM / EAM + S/4HANADigital process core
Asset master
Maintenance history
Industrial IoT
SAP BTP
Analytics Cloud
Work orders
DELIVERY APPROACH
A phased path from discovery to adoption.
Data and process design
Define asset hierarchy, failure modes, maintenance plans, notifications and decision ownership.
Pilot analytics
Connect appropriate condition data with governed analytical models and maintenance recommendations.
Operationalize
Validate recommendations, tune thresholds and expand across selected operating units.
BEFORE & AFTER WORKFLOW
Make the change visible to the people doing the work.
Illustrative connected workflow
01
Connected condition data
02
Prioritized insight
03
Planned work order
04
Reliability feedback
ILLUSTRATIVE KPI TARGETS
Define measurable transformation intent.
These are illustrative planning targets only, not verified project results or customer claims.
20% illustrative reduction in unplanned downtime
15% illustrative improvement in maintenance scheduling efficiency
Earlier identification of equipment anomalies
More reliable asset history and decision evidence
Illustrative targets only — actual outcomes depend on scope, baseline, adoption, data quality and operating conditions.
REQUIRED EXPERTISE
Bring the right SAP and industry skills together.
SAP PM / EAM ConsultantSAP BTP ConsultantAnalytics ConsultantReliability EngineerIntegration Architect
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