big data internet of things in global automotive · pdf fileinternet of things in global...
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Big data
&
Internet of Things
in Global Automotive Logistics
Automotive Logistics China 2016, Chengdu
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What makes INFORM special:
Optimization in logistics
More than 550 employees
- global projects
- focus on automotive logistics
HQ in Germany; revenue in 2015 €60 million
Many automotive customers like
INFORM I Leader in Optimizing Logistics
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MathematicalIndustry Logistics
INFORM I Leader in Optimizing Logistics
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MathematicalIndustry Logistics INFORM
INFORM I Leader in Optimizing Logistics
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INFORM optimization systems are used
by more than 1,000 companies worldwide
INFORM I Worldwide Customers
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6
Memphis Cargo Hub:
250 planes / 17 million parcels
each night
6
INFORM I Worldwide Customers
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Hamburg CTB:
Germany`s largest container
terminal
I
7
INFORM I Worldwide Customers
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8
INFORM I Finished Vehicle Logistics
8
Yard / Compound Flow Optimization
Regional / Global Distribution Networks
Road / Rail / Sea Transport Optimizatione@logistics award 2008
of the
German Automotive Industry
© 2015 – INFORM GmbH © 2016 – INFORM GmbH
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More than 50 car factories
More than 12.000 trucks
per day handled by
SyncroSupply
INFORM I Inbound Logistics
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INFORM I Real time optimization technology in automotive
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1) Big data
2) Internet of Things
3) Physical Internet
4) Innovation in trailers, containers and racks
5) Make all pieces work together
Automation & Innovation I How can it help supply chain managers?
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There is still a lot to win:
1) Global inventories How reduce it with 20%?
2) Global transport cost How reduce it with 20%?
- reduce waiting
- reduce empty driving
- reduce half empty trucks
- reduce leadtimes
New technologies I How can it help supply chain managers?
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Shanghai
Russia
Brazil
Singapore
Hungary
Chile
Panama
Venezuela
ArgentinaAustralia
Malaysia
Japan
Thailand Taiwan
South Korea
Potential
commencement
LDCs
(Local
Distributio
n Center)
ADV (Areas
Distribution
Center)
LDCs - in
planning
Central
warehouse
(world-wide
delivery)
Germany
Copyright INFORM GmbH 1991 - 2014
India
USA
Big data I How can it help to reduce inventories?
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Big data I How can it help to reduce inventories?
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Ava
ila
bil
ity
[%]
Sto
ck
va
lue
Service level > 99 %
Sustainable stock reduction > 20%
Stock – Availability
CW 16 – CW 52
Big data I How can it help to reduce inventory costs?
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1) Global inventories How reduce it with 20%?
2) Global transport cost How reduce it with 20%?
Big data I How can it help supply chain managers?
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Input: All possible locations, connections
Output: Least cost
routing
…throw this at
the optimizer…
17
+ rates from RFQ portal
Big data I How can it help to reduce transport costs?
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18 © 2016 – INFORM GmbH
Transport Means
• Transport Time
• Emissions
Carriers
Yardoperators
Contract Conditions
• Rates
• Capacity Constraints
• Lead & Dwell Times
Carrier Quality
• Damages
• On-Time performance
Operational Considerations
• Number of Ports, Compounds
• Number of Carriers
• Compounds or Carriers for Regions
• Changes from Current Network
Port / Compound Modification Distribution Center DealerPlant
Big data I How can it help to reduce transport costs?
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19 © 2016 – INFORM GmbH
Validate current network
• Impact of rate changes
• Impact of volume changes
Lowest cost scenario
• No limit on changes
• Low weight on transit times
Lowest risk scenario
• Limit on changes
• Focus on transit times
Scenario 3Scenario 3Optimization
…
User defined
Scenarios
The impact of changing input and optimization conditions is fully visible
Optimization Result 1
39,459,245 USD
Optimization Result 2
41,989,001 USD
• Build Scenarios according to different business criteria
• Compare savings potential for different conditions
• Analyze the impact of different weight on optimization criteria
• Analyze the impact of applying restrictions
47,148,634 USD
Baseline – Current Network
Big data I How can it help to reduce transport costs?
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Big data I How can it help to reduce empty driving?
1) From route optimization to balancing flows
2) From individual optimization to collaborative optimization
3) From own industry to inter industry
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1) Input: Via smartphone app or handheld
2) Output: From paper to smartphone/handheld
3) Planning: From daily to minute
4) Accuracy: From block to parking space
5) More self service: E-gate at DC/factory
Examples today in logistics?
Internet of Things I How can it help supply chain managers?
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Internet of Things I How ensure cars are produced & delivered on time?
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1) In the factory at the production line
2) In the vehicle distribution center
3) In inbound logistics for incoming trucks
Internet of Things I How can it help supply chain managers?
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Audi
180,000 move orders per day
to supply the assembly line
Internet of Things I How can all parts be on time at the production line?
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deliveries of large units
small-parts single delivery
plant border
JIT-deliveries
1
6
2
7
3 4 5
8 9 10
16
27
3 4 58 9 10
delivery of picked materialpicking zone
162345
Storage
locations
H12
H4711
...
...
B4513
„From ramp to assembly line“
Supplier
Supplier
Logistics
Centre
Hub/Supplier
Transport
Service Provider
P
r
o
d
u
c
t
i
o
n
l
i
n
e
Systems Logistics Division
Internet of Things I How can all parts be on time at the production line?
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1) In the factory at the production line
2) In the vehicle distribution center
3) In inbound logistics for incoming trucks
Internet of Things I How can it help supply chain managers?
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User
27
2.5 million cars in 2015 in Zeebrugge port: largest car terminal in world
40% growth since 2012
ICO is leading party: 1.7 million in 2015 in Zeebrugge
Internet of Things I How are vehicle distribution centers changing?
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Tru
ck 1
2
Tru
ck 3
7
Tru
ck 7
6
Tru
ck 1
1
Tru
ck 4
8
Tru
ck 1
7
Nave 38
ByPack
CP 8
Truck 07
Truck 46
Truck 31
Truck 30
Tru
ck 1
2
Tru
ck 3
7
Tru
ck 7
6
Tru
ck 1
1
Tru
ck 4
8
Tru
ck 1
7
Nave 38
ByPack
CP 8
Truck 07
Truck 46
Truck 31
Truck 30
User
28
VW Mexico, Yard and Transport Optimization
premium
cars
priority
units
fast
mover
slow mover
Internet of Things I Every spot is pointed out to person and system
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Job assignment
Movements and inspections are triggered by orders
Resources are planned in an optimized way
Optimizer assigns automatically best order to driver
12
3
Damage Yard
Optimized Workflow
Minimize number of handled cars
Minimize use of shuttles
Minimize time and distances
29
Internet of Things I Person gets instruction via smartphone or handheld
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Self- check-in and check-out for automated gate processes
30
Internet of Things I Drivers can have Quick Check In
50% reduction in waiting
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1) In the factory at the production line
2) In the vehicle distribution center
3) In inbound logistics for incoming trucks
Internet of Things I How can it help supply chain managers?
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Audi Quick Check In via Geofencing
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Internet of Things I How create quick check in in factories?
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Slotting From 3 hours to 2 hours
Quick Check In From 2 hours to 1,5 hour
650 trucks per day save 0,5 hour per trip using
- Smartphone app
- Paperless process
- No stop at gate (automatic recognition based on geofencing)
Internet of Things I How much improvement can be realized?
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http://physicalinternetinitiative.org
Automation & Innovation I Physical Internet Initiative
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Stop with empty trucks in finished vehicle logistics
Stop with transporting empty containers
Stop with half full trucks
New technologies I Hardware
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Create global optimized logistics & help to reduce CO2
Big data
Internet of things
Collaboration between companies and industries
New logistic tools
- foldable container
- convertible trailer
- tools to fill trucks/containers better
We need to combine all these pieces to solve the puzzle!
New technologies I Summary
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Ruud Vossebeld Director Business Development
Email [email protected]
Phone +31 6 54 677680 or +49 2408 9456 0
Internet www.inform-software.com
INFORM I More Information
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Used in 22 locations
1.7 Mio. VIN in 2015
UK
Valencia*
EU
Network
Planning
Southafrica
India:
CVAP
CVAP VMC
SVAP,
ports
Thailand:
FTM *, AAT,
ports
Lincoln
China
(Shanghai)
FoA/FNZ
(planned 2016)
42
Northamerica Europe + Asia
SyncroTESS CPS
CPS + CMS
CPS + CMS/VMC
CPS
© 2016 – INFORM GmbH
INFORM I Finished Vehicle Logistics
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Thank you!