Big data. Internet of Things. in Global Automotive Logistics. Automotive Logistics China 2016, Chengdu

Big data & Internet of Things in Global Automotive Logistics Automotive Logistics China 2016, Chengdu INFORM I Leader in Optimizing Logistics What...
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Big data & Internet of Things

in Global Automotive Logistics

Automotive Logistics China 2016, Chengdu

INFORM I Leader in Optimizing Logistics 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

Industry Logistics

Mathematical

INFORM I Leader in Optimizing Logistics

Industry Logistics

Mathematical

INFORM

INFORM I Worldwide Customers

INFORM optimization systems are used by more than 1,000 companies worldwide

INFORM I Worldwide Customers

Memphis Cargo Hub: 250 planes / 17 million parcels each night

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INFORM I Worldwide Customers

Hamburg CTB: Germany`s largest container terminal

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INFORM I Finished Vehicle Logistics

 Yard / Compound Flow Optimization  Regional / Global Distribution Networks

 Road / Rail / Sea Transport Optimization

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© 2016 2015 – INFORM GmbH

e@logistics award 2008 of the German Automotive Industry

INFORM I Inbound Logistics

More than 50 car factories

More than 12.000 trucks per day handled by SyncroSupply

INFORM I Real time optimization technology in automotive

Automation & Innovation I How can it help supply chain managers?

1) Big data 2) Internet of Things 3) Physical Internet 4) Innovation in trailers, containers and racks 5) Make all pieces work together

New technologies I How can it help supply chain managers?

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

Big data I How can it help to reduce inventories?

Russia Germany

Hungary

USA

ADV (Areas

Shanghai Thailand

Taiwan

India

Panama

Distribution Center)

Venezuela

LDCs - in planning

Central warehouse (world-wide delivery)

Japan

South Korea

LDCs (Local Distributio n Center)

Malaysia Singapore

Brazil Argentina Chile

Potential commencement

Copyright INFORM GmbH 1991 - 2014

Australia

Big data I How can it help to reduce inventories?

Big data I How can it help to reduce inventory costs?

Availability

[%]

Service level > 99 % Stock – Availability

Stock value

CW 16 – CW 52

Sustainable stock reduction > 20%

Big data I How can it help supply chain managers?

1) Global inventories

How reduce it with 20%?

2) Global transport cost

How reduce it with 20%?

Big data I How can it help to reduce transport costs? Input: All possible locations, connections + rates from RFQ portal

…throw this at the optimizer…

Output: Least cost routing

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Big data I How can it help to reduce transport costs?

Plant

Port / Compound

Modification

Distribution Center

Transport Means

Dealer

Carriers Yardoperators Contract Conditions • Rates • Capacity Constraints • Lead & Dwell Times

• Transport Time • Emissions

Carrier Quality • Damages • On-Time performance

Operational Considerations • • • •

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© 2016 – INFORM GmbH

Number of Ports, Compounds Number of Carriers Compounds or Carriers for Regions Changes from Current Network

Big data I How can it help to reduce transport costs? • • • •

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 Baseline – Current Network

47,148,634 USD

Validate current network • Impact of rate changes • Impact of volume changes

Optimization Result 1

Optimization Result 2

41,989,001 USD

39,459,245 USD

Lowest cost scenario • No limit on changes • Low weight on transit times

Lowest risk scenario • Limit on changes • Focus on transit times

The impact of changing input and optimization conditions is fully visible

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Scenario33 Scenario Optimization …

© 2016 – INFORM GmbH

User defined Scenarios

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

Internet of Things I How can it help supply chain managers?

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 ensure cars are produced & delivered on time?

Internet of Things I How can it help supply chain managers?

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 all parts be on time at the production line?

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? „From ramp to assembly line“ plant border

Supplier

deliveries of large units Storage locations

Transport Service Provider

H12 H4711 ... ... B4513

Logistics Centre Supplier

Hub/Supplier

Systems Logistics Division

1 62345

1 2 3 4 5 6 7 8 9 10

picking zone

delivery of picked material

small-parts single delivery

JIT-deliveries

1 2 3 4 5 6 7 8 9 10

P r o d u c t i o n l i n e

Internet of Things I How can it help supply chain managers?

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 are vehicle distribution centers changing?

2.5 million cars in 2015 in Zeebrugge port: largest car terminal in world User

40% growth since 2012 ICO is leading party: 1.7 million in 2015 in Zeebrugge

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Internet of Things I Every spot is pointed out to person and system

User

VW Mexico, Yard and Transport Optimization

Truck 17

Truck 48

Truck 11

Truck 76

Truck 37

Truck 12

Truck 30 Truck 31 Truck 46 Truck 07

priority units

fast mover slow mover

ByPack

CP 8

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premium cars Nave 38

Internet of Things I Person gets instruction via smartphone or handheld

Job assignment 

Movements and inspections are triggered by orders



Resources are planned in an optimized way



Optimizer assigns automatically best order to driver

1 2

Damage Yard

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Minimize number of handled cars Minimize use of shuttles Minimize time and distances 29

Optimized Workflow

Internet of Things I Drivers can have Quick Check In

Self- check-in and check-out for automated gate processes

50% reduction in waiting

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Internet of Things I How can it help supply chain managers?

1) In the factory at the production line 2) In the vehicle distribution center 3) In inbound logistics for incoming trucks

Audi Quick Check In via Geofencing

Internet of Things I How create quick check in in factories?

Internet of Things I How much improvement can be realized?

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)

Automation & Innovation I Physical Internet Initiative

http://physicalinternetinitiative.org

New technologies I Hardware

Stop with empty trucks in finished vehicle logistics

Stop with transporting empty containers

Stop with half full trucks

New technologies I Summary

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!

INFORM I More Information

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 Finished Vehicle Logistics SyncroTESS CPS

Northamerica

Europe + Asia

UK

EU Network Planning

Valencia*

Lincoln China (Shanghai)

India: CVAP CVAP VMC SVAP, ports

Used in 22 locations 1.7 Mio. VIN in 2015 CPS + CMS CPS + CMS/VMC CPS

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Thailand: FTM *, AAT, ports

Southafrica FoA/FNZ (planned 2016)

© 2016 – INFORM GmbH

Thank you!