connected lab/ connected production...digital platforms (social, collaborative, transactional) big...
TRANSCRIPT
CONNECTED LAB/CONNECTED PRODUCTIONTHE IOT SCENARIO FOR THE VERTICAL INTEGRATION
17.10.2018
Motivation
USE CASE
Connected LAB
Connected Production
TECHNOLOGY & ARCHITECTURE
WALKTHROUGH
(SYSTEM DEMO)
MANAGEMENT
SUMMARY
&
CAPABILITIES
Motivation
USE CASE
Connected LAB
Connected Production
TECHNOLOGY & ARCHITECTURE
WALKTHROUGH
(SYSTEM DEMO)
MANAGEMENT
SUMMARY
&
CAPABILITIES
DIGITALIZATION
Seite 5
REIMAGING YOUR …
BUSINESS MODELS
Business models has to be adopted to the age of digitalization. Early adopters or new competitors will reinvent
business models by competing on outcomes, delivering valuable customer results versus increasingly commoditized
products.
BUSINESS PROCESSES
Digital technologies has opened the door to a new area of business process excellence. These technologies can be
used for embedded real-time sense and response capabilities and will make processes faster and simpler. This can
result in streamlined operations, improved products, enhanced services and maximized uptimes for assets.
WORK
In leaner workforces the way people do their daily work will fundamentally change to management by exceptions,
driven by alert notification, rapid decision-making with simulations, exception-based response mechanisms and
supported by advanced analytics.
Seite 6
DIGITAL OPPORTUNITIES ALONG THE SUPPLY CHAIN
R&DSupply
ChainProduction
Support
Functions
Marketing
& Sales
Customer
Service Next generation UIs
(mobile, local,
augmented reality)
Digital platforms
(social, collaborative,
transactional)
Big data, real time and
advanced analytics
Industry 4.0 cyber-
physical systems, IoT,
3D printing Market insight,
forecasting
Production
optimization
Collaborative
innovation,
and design
1:1 marketing
M2M trading
Digital
quality
assurance
Regulatory
compliance and
risk mgmt.
Connected
Lab
Predictive
maintenance
Digital customer
ServiceIndividualized services,
adaptive pricing
Mobile workforce
enablement
Customer
communities(e.g centered on
applications)
Collaborative
sales, service
Local productione.g. 3-D print supplies,
production spare parts
Connected
Production
Motivation
USE CASE
Connected LAB
Connected Production
TECHNOLOGY & ARCHITECTURE
WALKTHROUGH
(SYSTEM DEMO)
MANAGEMENT
SUMMARY
&
CAPABILITIES
Seite 8
PRODUCTION PROCESS
S2: Monomer-Pump:Dosage durationDosage amount
S1: Initiator-Pump: Dosage durationDosage amount
INITIATOR
MONOMER 1
POLYMER
S4: Reactor:TemperatureStirrer speed
BATCH/MIXER
MONOMER 2
S3: Monomer-Pump: Dosage durationDosage Amount
S5: Sampling Point:
Reactor/Vessel
Conversion
Molecular weight
Refractive Index
Viscosity
Density
POLYMERISATION
Production of 10 Batches
One Batch takes 24 h
Sensors S1 to S4:
24 values/one each hour
Sensor S5 Sampling Point:
12 analysis, one every 2 hours
Seite 9
INTEGRATION SZENARIOS
No integration Full integration
Scala
ble
degre
e o
f vert
ical
pro
cess inte
gra
tion
No
inte
gra
tion
Full
inte
gra
tion
Scalable degree of horizontal integration
Legend
Data
Material
PRODUCTION-CONTROLLABORATORY
L1-20180923-01 L1-20180923-01 L1-20180923-01 L1-20180923-01
Motivation
USE CASE
Connected LAB
Connected Production
TECHNOLOGY & ARCHITECTURE
WALKTHROUGH
(SYSTEM DEMO)
MANAGEMENT
SUMMARY
&
CAPABILITIES
Seite 11
THE SOLUTION ARCHITECTURE
SAP Analytics Cloud
SAP Cloud Platform
SAP Leonardo / IoT
SAP S/4HANA Enterprise
Management
PCSLab
Equipment
Production System
(i.e. OSIsoft PI)
Lab System
(i.e. LABS/QM)
Seite 12
CLOUD PLATFORM
Seite 13
SEMANTIC VIEWInternet of Things Service Cockpit
Capabilities S1 - Initiator
PropertyDosage-Time
PropertyDosage-Amount
CapabilitiesS2 – Monomer 1
PropertyDosage-Time
PropertyDosage-Amount
Capabilities S3 – Monomer 2
PropertyDosage-Time
PropertyDosage-Amount
CapabilitiesS4 - Reactor
PropertyTemperature
PropertyStirring Speed
CapabilitiesS5 - Sampling Point
Lab Control
PropertyConversion
PropertyMolecular Weight
Property Viscosity
PropertyRefractive Index
Property Density
Device
Sensor Types
Sensor BATCH
Seite 14
SEMANTIC VIEW SAP IOT Application Enablement – Thing Modeler
Package
Thing Type (1 : n)
Property Set (1 : n)
Property Set Type (1 : 1)
Property Type (1 : n)
Package: Polymerisation
Thing: Batch
Initiator Pump
Dosage Time
Dosage Amount
Reactor
Temperature
Stirrer Speed
Sampling Point
Conversion
Molecular Weight
Viscosity
Motivation
USE CASE
Connected LAB
Connected Production
TECHNOLOGY & ARCHITECTURE
WALKTHROUGH
(SYSTEM DEMO)
MANAGEMENT
SUMMARY
&
CAPABILITIES
Seite 16
PRODUCTION PROCESS
S2: Monomer-Pump:Dosage durationDosage amount
S1: Initiator-Pump: Dosage durationDosage amount
INITIATOR
MONOMER 1
POLYMER
S4: Reactor:TemperatureStirrer speed
BATCH/MIXER
MONOMER 2
S3: Monomer-Pump: Dosage durationDosage Amount
S5: Sampling Point:
Reactor/Vessel
Conversion
Molecular weight
Refractive Index
Viscosity
Density
POLYMERISATION
Production of 10 Batches
One Batch takes 24 h
Sensors S1 to S4:
24 values/one each hour
Sensor S5 Sampling Point:
12 analysis, one every 2 hours
Seite 17
BATCHES PER CUSTOMER ORDER
L1-20181002-01 L1-20181004-01 L1-20181005-01 L1-20181006-01
L1-20181007-01L1-20181008-01 L1-20181009-01 L1-20181010-01 L1-20181011-01
L1-20181003-01
Batch analysis
Motivation
USE CASE
Connected LAB
Connected Production
TECHNOLOGY & ARCHITECTURE
WALKTHROUGH
(SYSTEM DEMO)
MANAGEMENT
SUMMARY
&
CAPABILITIES
Seite 19
SUMMARY
Automated recognition:
of potential product and quality deviations on the basis of production measurement data,
raw and measured values as well as knowledge management in SAP
Realtime:
Alerts and notifications directly to the responsible employees via SAP
Digital Risk Management:
Complete evaluation of all production, quality and R&D data. Recognition of correlations and error causes
Community:
Inclusion of R&D / pilot plant for improvement potentials in the production process
Proactive:
Prevention of major problems (recalls, technical failures, loss of production)
Innovation:
Use of existing technologies, innovative upgrades
Seite 20
THE TEAMPLAY
SAP Analytics Cloud
SAP Cloud Platform
SAP Leonardo / IoT
SAP S/4HANA Enterprise
Management
PCSLab
Equipment
Production System
(i.e. OSIsoft PI)
Lab System
(i.e. LABS/QM)
Seite 21
QUESTION AND
ANSWERS
Seite 22
SAP PARTNER Development of the Use Cases
DIE UNTERNEHMENSBERATUNG
FÜR DIGITALE TRANSFORMATION
www.enowa.ag
+ 49 9302 9 87 97 1000
www.icd.eu
+49 2234 96634 0
INDUSTRIAL ENGINEERING AND
SOLUTIONS PROCESS INDUSTRIES
www.spiratec-ag.com
+49 6232 91906-0
Seite 23
THANK YOU
enowa AG
Parkstr. 10
40699 Erkrath
www.enowa.ag
CONTACT
THOMAS HAENDLY
Tel: +49 1743036226
Mail: [email protected]
iCD. Vertriebs GmbH
Augustinusstr. 9 D
50226 Frechen
www.icd.eu
DR. DIETER GENSKE
Tel: +49 2234 966 34 54
Mail: [email protected]