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SAP Predictive Maintenance and Service
Alessandra Vargas & Carolina CostaSAP Custom Development & Strategic Projects
1.3 billionpeople on
business & socialnetworks today
50 billionconnected devicesand “internet ofthings” by 2020
Network Effect/Explosion in Structured and Unstructured data
5 billionpeople worldwide
will becomemiddle class
50%of the world’s
populationwill live under
water shortage
Rising Customer Expectations Pressure on Resources
75%of global workforce
will beMillennials
A Dramatically Changing Workforce
While the world's GDP is around $ 46.6 trillion, the valueof all assets is assumed to be much higher. Maintenancespend alone comes up to $ 447 billion.
60
200
Annualmaintenancecosts
Loss due toineffectivemaintenance
USMaintenance Costs 20112
in billion USD
70
300450
Loss due toineffectivemaintenance
Annualmaintenancecosts
Maintenancecostsaddressable bymaintenanceimprovements
EuropeMaintenance Costs 20101
in billion EUR
Valuable Insight Lost in Disparate Information Flows& Disconnected Databases
Business & ProductData Technical & Operational
Data
Unstructured Data
OEM DealerCustomer
Common Objective Maximize Equipment UptimeDisconnected Databases Valuable Insights Lost
Predict Act
devices connectedby 2020*
50 billion
price of sensors,microprocessors &wireless technologiestoday vs. 4 years ago**
1/5
40-50%CAGR for M2Mmarket until 2020*
Sensor Data
Business Data
EnvironmentalData
PatternandRoot
CauseAnalysis P
redi
ctio
ns
• Create work order
• Change productspecs
• Alter maintenanceschedule
• Preposition spareparts
• …
Sense
Predictive Maintenance: a key building block forimproved asset performance
Benchmarking
Prioritizemaintenance andservice activities
Early warningsto prevent
downtimes
Designimprovements
Machine healthmonitoring
Optimized warrantyand spare parts
mgmt
Business &Product Data
Technical &Operational Data
UnstructuredData
Single Source of Truth with business processoptimized in real time
SAP HANA
Predictive Maintenance and Service:Business Integration
Machine HealthPrediction
Increaseeffectiveness
Create Maintenanceor Service Order
Execute Orderon mobile device Visual SupportIncrease
efficiencySchedule Order
Fault PatternRecognition
IT / OTConnectivity
Condition MonitoringRemote Service
Time, effort or cost is wellused for the intended taskor purpose
Effectiveness is thecapability of producinga desired result
PredictiveMaintenanceand Service
Business Data
Equipment Data
SalesServiceEngineeringAsset Management
Recordings
Weather
Unstructured Data
Temperature
Voltage
Data
Service Coordinator
Account Manager
R&D Engineer
Asset Manager
WarrantyManager
People
Mobile App
Web App
UI
UX
Data Models
createactionable
insights
predicthealth
monitorasset
Prediction Notification
FlexibleModeling
Visual RulesDesigner
PredictiveAnalysis
UnifiedData Model
PredictionEngine
NotificationServer
Analysis &Exploration
Solution
Business Data Import
TelemetryData Import
Predictive Maintenance and Service:Key elements
Based on claims, damage reports, business and configuration dataCombining
VisualizationMapping of expert knowledge into HANAStatistical analysis
Improved product quality at lower costsQuick identification of new defect patternsGuidance for root cause analysisReduction of manual work in quality managementCost reduction & increased customer satisfaction
PdMS Sample Scenario: Defect Pattern Identification
Identification and prioritization of machinefailure pattern for product improvement
Industrial Machinery& Construction
Using machine dataPredict breakdownsCalculate energy consumption pattern profilesModel domain expert knowledge in SAP HANAProvide 360° view on machines
Scale and improve service business byBetter transparency of current conditionMachine health prediction from historic dataOptimize field technicians scheduling, including
failure predictions
PdMS Sample Scenario: Machine Health Prediction
Industrial Machinery& Construction
Sense & predict machine health supportingthe solution provider transformation
Machine A
Single SAP HANA based platform that combines sensorand warranty data
Analysis of equipment's telematics dataDetection of potential issues and relation to equipment's service
and warranty data using text mining, association analysis and HANAdatabase capabilitiesShorter detection-to-correction cycle.
Reduced warranty costsQuick identification of potentially defective behavior of fleetCreation of evidence packages as input to root causeanalysisMachine warranty cost reduction & improved up-time
PdMS Sample Scenario: Emerging Issues
Faster product improvement and earlyfailure prediction to reduce downtime
Industrial Machinery& Construction
Predictive modelingPredict unscheduled maintenance based on engine health data patternsDetect outliers and anomalies in the data with machinelearningUse text analysis to classify scheduled vs. unscheduledmaintenance events
Higher margins throughAlternative maintenance schedules which avoidunplanned downtime,Increased aircraft availability and maintenance revenueswhile reducing costs of service
PdMS Sample Scenario: Systems Trending andAlert Management
Predicting unscheduled maintenance eventsbased on historical data
Aerospace
Our individualized innovations are designed to enable acompetitive edge for you
MobileCustom
ApplicationsUser
Experience
Enabled in the Cloud
We Build Solutions We Productize Solutions We Offer Support
SAP Custom Development & Strategic Projects
Built on the SAP HANA Platform Protected with Support
Predictive Maintenance and Service,technical foundation: Building Blocks
HANA DB
OT Data Model IT Data Model
Unified View (Data Fusion)
Analysis View
PdMS foundation Configuration UI
PdMS foundation
XS Engine
The Analysis View offers datain the format required forPredictive Analysis
This is used to configure orsetup PdMS Foundation percustomer implementation
The Unified View isthe standard base
interface forapplications as well as
predictive analysis
Storage for IT data or business datafrom ERP/CRM systems
Storage for OT data or sensor data frommachines. Includes meta-data requiredto interpret measurements and alerts .
SAP HANA
HANA DB
XS EnginePdMS foundation- Configuration UILumira Server Application
Services
PdMS foundation
Browser
Sybase ESP(streaming
data)
Data Services(bulk data) Hadoop / IQ
BusinessSystem
(non-HANA)
BusinessSystem on
HANA
Lumira Desktop
Replicate
Smart DataAccessData
Movement
PdMS Aaapplication
(UI5 WebApp)
LumiraStoryboards ….
Applications
Predictive Maintenance and Service,technical foundation: Big Picture
Customer Engagement Model for PdMS
CustomerCall
One DayWorkshop
Custom SpecificImplementation
AssessmentService
Going Live
Run Faster Run Better Run moreInnovative
For everything that makes your company unique
Running SAP HANA with SAP Custom Development
All can be addressed with CD on HANA
ImprovedQuality
BetterVisibility
ReducedCosts
HigherUptime
IncreasedReliability
OptimizedPlanning
CustomerRetention
LowerInventory
SAP Custom Development is the PredictiveMaintenance partner to transform SAP HANAtechnology into tangible business value for your
customers
Your Key Takeaways
Thank you
Alessandra VargasBusiness Development ManagerSAP Custom Development & StrategicProjectsSAP Brasil
M +55 51 8153-3443E [email protected]
Carolina CostaSales SpecialistSAP Custom Development &Strategic ProjectsSAP Brasil
M +55 11 9 8674-3135E [email protected]
SAP Education – Learning Hub
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