SAP Manufacturing within Industry 4.0 Smart Factory”

Transcription

SAP Manufacturing within Industry 4.0 Smart Factory”
SAP Manufacturing within Industry 4.0
Smart Factory”
ony Aschwanden, Industry Solutions Principal Manufacturing
une 2014
with an image
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Use this
rends in the Industrial World
onnected Devices
1B
005
Connected Processes
Connected Busines
Connected City
Connected
Car
Connected
Flight
6B
2015
Connected
Energy
Connected
Industry
50 B*
2020
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Public
Video
tp://www.sap.com/asset/index.epx?id=27D77FF6-F5B2-4DB5-912E-18F43C474ED8
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dustrie 4.0 Vision by SAP
ocus Areas.
dea to Performance is SAP's answer to Industrie 4.
FECYCLE
INDUSTRY
SHOP FLOOR
SIMPLIFY the
NGINEERING
CLOUD
to TOP FLOOR
COMPLEX
End-to-end
»Dynamic,
»Design
self-organizing
value networks
for performance
»Augmented reality
»Open Context Learning
»User-centric
»Social-embedded
Single virtual
data model
Predictive analysis
»Glocal Manufacturing
»Access to product
»Executive insight into
and asset information anywhere
Context sensitive,
art action
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operational risks
Public
ndustry 4.0
is all about new business opportunities
timize your own product
redictive maintenance and service
sage based business models
lp your customer optimize what they do with your product
mart factory
otsize / batch of one
eate additional value beyond your product
ownstream data and services
onnected vehicle / location based services
timize Logistic Processes across the Value Chain
mart Logistics
onnected Warehouse
SAP AG
SAP
affiliate
company.
All rightsAll
reserved.
44SAP
AGororanan
SAP
affiliate
company.
rights reserved.
ompanies need to establish a culture of “System Thinking”
om simple Products to complex Solutions
Software
Mechanic
s
Mechanics
Sy
Th ste
i nk m
i ng
Services
SW
Electronics
Mobile
Comms
Electronics
SAPAG
AGororananSAP
SAPaffiliate
affiliatecompany.
company.AllAllrights
rightsreserved.
reserved.
413SAP
System Thinking
Source: Adapted from „Software gibt den Takt vor“, C.Kühnl in „Mechatronic & Fertigung“, 2010
ea to Performance
From Sequential Steps
To Integrated Processes
Make
plan
Se
r
vi
ce
Time
ign
Des
make
desi
gn
Pl
an
Time
Inn
ov
ate
r
se
e
vic
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In n
ov
ate
Process Time Reductio
Public
Sustainable
herefore 4.0 / Idea to Performance, Customer use cases
ndustry
Innovation
Aftermarket
Service
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Responsive
Manufacturing
Corporate
nufacturing Whiteboard
Cloud
Business
Suite
BW
ds
(Enterprise Manufacturing Intelligence)
cess and system harmonization
Sc
op
e
ceability, process enforcement
SAP Manufacturing
Analytics
omer Challenges
nsparency and Interoperability
mantic Business Layer
tainable Manufacturing
y, Visibility
SCADA
PLC
DCS
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DB
PLC
MES
DCS
SFD
Historian
PLC
…
Maintenance
SFAC
Composites
SA
PM
nected environment
Plant (decentral)
an
ufa
ctu
rin
g
EEN, Energy Management
Public
nufacturing Whiteboard
OPEN INTEGRATED FACTORY
Corporate
SAP OEE
Cloud
Business
Suite
BW
SAP EEI
PCo
Intelligence
Intelligence
SCADA
PLC
DCS
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Integration
Integration
DB
PLC
Innovation
Innovation
Maintenance
Historian
DCS
PLC
Customer Success
…
SFAC
SAP MII
Plant (decentral)
SFD
Benefits
»Integrated MFG Solution
»Out of the box integration
»Transparency
»Composites
»Operator dashboards
»RDS available
SAP Manufacturing
SAP ME
Energy and Environmental Inte
SAP Predictive Maintenance (coming soon)
HANA
Mobile
Overall Equipment Effectivene
»Valero, 220 M$ / year
»Caterpillar, ABB
»Coca Cola
»Pepsi Corporation
»Sika: RDS BM
»Phillips, 50% Quality improveme
Public
MI2014: just two physical highlights
o-Innovation with
http://youtu.be/Y3bnuPs6PHw
http://youtu.be/eI_XxsunVfg
Video
stic production process with deep SAP software integration
erial support (configured materials)
ametric drilling (variant parameters out of ME)
pering (process paramters: temperature and duration)
ot assembly (different programs paramter depending)
lity Control (Manufacturing Execution Integration)
ual rework of failures (feedback of completion)
king (handover of packaging information to EWM)
mpare Energy consumption via Smart Metering during the
ction process and recognize failures
dictive Maintenance through collection of sensor data
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From the Sensor to the Cloud and back
Energy Management (power supply depending on
sustainable availabiliy)
Asset Information Management in the Cloud (get the right data)
Augmented reality with 3DVE (Service support)
Mobile Asset Maintenance (Syclo)
Condition Monitoring (related data from PLC and Sensors)
Predictive Maintenance based on IOT & HANA
See 2 pumps communicating over the machine cloud
Public
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Public
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ustomer Harley Davidson
End-to-End Processes
Integrated End-to-End Processes
Vertical Integration, Sales-IPPE-APO-MII-Pco-ME-POD
Digital Product - Transparency, Consistency
Performance Increase (deliver time from 21 days to 6h)
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arley Davidson: Automated End-to-End Process
nce information from IPPE ultimately
flows down to ME, if it is not set up
operly in IPPE, the flow of information
eaks” when it hits the PI layer (during
translation).
At the end of the line a confirmed order
goes back to APO and backflushes
components.
IPPE
PDS Structure
Product Structure
Process Routing
Factory Layout
SAP
Sales
Orders
SAP ECC
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Personal
Operator
Display (POD)
PI translates
orders
for ME
APO
and
Production Planning
and Detailed
Scheduling
ATP Checks
sends bikes
3-4 hours in
advance
ME
MII
PCo
Floor
Equipment
ea to Performance, Example
rley Davidson, Achieved Business Benefit
nning & Monitoring
Operations Monitorin
make
ign
des
pla
n
e
ual Work
tructions
tim
se
rv
ic
e
Business Benefits
Cost -
Ideation
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Net Margin +1
im
ag
ine
Video
Dividend +2
Share Repurchase >$2.5
From 21 day schedule to 6 h
http://youtu.be/ThjYcG9H
Public
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Key Take Away:
M2M Integrated processes to Enterpris
Top Floor to Shop Floor
Complete Track & Trace Big Data
Dedicated simplified user experience
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Thank You!
ntact information:
ny Aschwanden
P Solutions Principal Manufacturing
nufacturing
1 (0)58 871 61 98
[email protected]
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