We are building The Matrix in the transport industry

Digitization of the transport industry

We are building The Matrix !!

Per Olof Arnäs Chalmers

@Dr_PO [email protected]

about.me/perolofarnas

Per Olof Arnäs

The Transportindustry

3 things:

Carbon-free transport by Stéfan on Flickr

…physical

3d boxes by crystaljingsr on Flickr

Technology Management and Economics Logis4kcs and Transporta4onCC-‐BY Per Olof Arnäs

…public

Traffic Jam by Giorgio Minguzzi on Flickr


…analogue

542 miles by Jason on Flickr


1989


1989Map on the wall with pushpins

Delivery notes (3 carbon sheets)

Pens in various colours

Prices, phone numbers etc.

Cardfile of customers, tank

sizes etc.

Telephone

Calculator

Radio


1989

Ca 100 customers in west Sweden

6 tanker trucks (7 partitions per vehicle)

8-10 Pricing (yesterday’s orders) 10-12 Call and receive tomorrow’s orders 13-17 Planning

Products: Gasoline 95 Gasoline 96 Gasoline 98

Diesel Diesel, colored

A FULL TIME JOB!

+ =

The Internet first became available for Swedish consumers around 1993

A (bad and expensive) mix between Teletext and the Yellow Pages

Not very pretty

Few people with computers

15 years later, in 2008, Google Flu Trends was launched

Based on what people google and where their computer is located

Ten days ahead of the official flu

tracker

www.google.org

How will we use the technology in 10 years?

We have no idea. !

almost

The girl and the iPad by Niclas Lindh on Flickr (CC-BY)


We have no idea. !

...and neither does she, but she will be dissatisfied with stuff that we think are

pure science fiction and almost magic.

almost


Per Olof Arnäs Stage Coach Wheel by arbyreed on Flickr

Development of transportation technology has been

fairly linear

…for the last 5500 years

We are in the middle of a gigantic exponential development curve

beginning

A new global eco system where new types of, knowledge based, industries

compete with traditional ones

http://bryce.vc/post/18404303850/the-problem-with-innovation

Startups don’t compete with airlines...

by purchasing a bunch of planeshiring a bunch of pilots

and locking up a bunch of terminals at airports.

Miniature Airport by disparkys on Flickr


Startups compete with airlines by

inventing videoconferencing.


Startups don’t compete with airlines...

Miniature Airport by disparkys on Flickr (CC-BY,SA)

by purchasing a bunch of planeshiring a bunch of pilots

and locking up a bunch of terminals at airports.


Addicted to dead trees

Physical flow

Original? Copy?

Ownership

Consignor

Consignee

In S

ea

rch

Of

Lo

st T

ime

by

bo

ge

nfr

eu

nd

on

Flic

kr

The biggest problem in transportation is time.

There is not enough of it.

Ever.

So…

What are we doing about

all this?

Strategic Tactical Operational Prognosis

Time horizons

We are approaching this boundary

…and we are starting to move past it!

Realtime!

Digitization frontsGoods Vehicle

Business process

Infra-structure

Goods Vehicle

Business process

Infra-structure

Barcodes RFID

Sensors

ERP systems TMS systems

E-invoices Cloudbased

services

Order handling Driver support Vehicle economics

RDS-TMC Road taxes Active traffic support

Digitization fronts

Business processes

Infra- structure

Paper based Phone

Papers

Road signsAnalogue

tools

RDS

Monitor fuel

cosnumption

Digitization version 0 0.5 1.0 1.5 2.0

E-m

ail

Fax

TMS

-

systems

Excel

Route planning

GPS for n

avigatio

n

Electro

nically

genera

ted

freig

ht docum

ents

Barcodes

RFI

D-t

ags

Simple order handling

Advanced order handling

Open interface

Web based U

I

Platform

based

systems

Hardw

are-

oriented

Data collection

systems

(prop

rietary)

Com

munication

with vehicles

E-invoice

Web based

bookingRoute

optimisation

Th

e so

cia

l web

Open connectivity

Integrated

prognosis

Data collection

systems (open)

Tolling

systems

Webservices

with traffic data

Dyn

amic

ro

utin

g sy

stem

s

Pe

rform

an

ce

Ba

sed

ac

ce

ss

Pe

rfo

rma

nc

e

Ba

sed

ac

ce

ss

Mas

hups

Mul

tiple

dat

a so

urce

s

Pro

be

dat

a

Individual

routin

g

inform

ation

Platooning

PlatooningExceptions handling

Sm

art g

ood

s

Manual

Computers

Software

Functions

Dis

trib

uted

deci

sion

m

akin

g

Goods as bi-

directio

nal

hyperlink

Paper based

CC-BY Per Olof Arnäs, Chalmers

Goods Vehicle

Goods

Vehicles

Business processes

Infrastructure

Stra-tegic

Tac-tical

Opera-tional

Prog-nosisWhat happens

when access to real-time data increases?

not quite clear on the concept by woodleywonderworks on Flickr (CC-BY)

Time to switch birds

What would happen if a pallet had a Twitter account?

Probably nothing.

Probably nothing. Well, that was not exactly true…

140 characters Hyperlinked @-names

RealtimeUnilateral

subscriptionHyperlinked #-tags

Automagical geocoding

Reference trigging event

Hyperlinked

When the shipment passes a reader, the message is sent automatically

When the shipment passes a reader, the message is sent automatically

The shipment reports often

Whoever is interested can keep track

Association is done in realtime and is reported instantly

Association is done in realtime and is reported instantly

The shipment is associated with Vehicle 18

and Shipment 2345

If you subscribe to one, you subscribe

to all of them

But… does this mean that all pallets will have onboard computers now?


No, of course not.


No, of course not.

It is enough that it has a digitally readable identity, like a RFID tag


No, of course not.

It is enough that it has a digitally readable identity, like a RFID tag

All logic is located in the reader

SubscriptionSubscription

Subscription

Subscription

My own data

Combine

Remix

MashupCreate value

SE

TI b

y P

au

lo A

leg

ria

on

Flic

kr

SubscripAon

Publish

PubSub


Subscription

Subscription

SE

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on

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his is n

ot a

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ial m

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eg

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ne

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lickr

SubscripAon

Publish

PubSub


Subscription

Subscription

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his is n

ot a

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ial m

ed

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eg

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ho

ne

b

y mika

el a

ltem

ark o

n F

lickr

Operational data, not secret

Secret data

Order information

Customer information

Vehicle/Vessel ETA

Vehicle/Vessel position

Facility accessability

SubscripAon

Publish

PubSub


Subscription

Subscription

SE

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y P

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Secret data

Publish

Publish

Publish

Publish

SubscripAon

Publish

PubSub


Subscription

Subscription

SE

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y P

au

lo A

leg

ria

on

Flic

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his is n

ot a

soc

ial m

ed

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eg

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ne

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y mika

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lickr


Secret data

Publish

Publish

Publish

Publish

New data

Subscribe

Combine

SE

TI b

y P

au

lo A

leg

ria

on

Flic

krT

his is n

ot a

soc

ial m

ed

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eg

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lickr

Benefits in transportation

Dialogue between vehicle and

infrastructureFootprinting Increase efficiency by

sharing data

CC-‐BY Per Olof Arnäs

Dialogue between vehicle and infrastructure

Access control

Probe dataJourney planning data

Graphic Conversation by Marc Wathieu on Flickr

Footprinting

Environmental

Energy use

Infrastructure use

Economical

...and 100! by MarcelGermain on Flickr

http://www.flickr.com/photos/marcelgermain/

CC-‐BY Per Olof Arnäs

Increase efficiency by sharing data Matchmaking

Bottle-neck planningOptimize vehicle use

Optimize infrastructure use

http://www.gartner.com/newsroom/id/2575515Source: Gartner August 2013

Augmenting humans with technology

Machines replacing humans

Humans and machines working

alongside each other

Machines better

understanding humans and

the environment

Humans better understanding

machines

Machines and humans

becoming smarter

Gartners Hype Cycle for Emerging Technologies

http://www.gartner.com/newsroom/id/2575515Source: Gartner August 2013


http://www.gartner.com/newsroom/id/2575515

?

Source: Gartner August 2013


Transportation/logistics?

Business processes

Infra- structure

Paper based Phone

Papers

Road signsAnalogue

tools

RDS

Monitor fuel

cosnumption

Digitization version 0 0.5 1.0 1.5 2.0

E-m

ail

Fax

TMS

-

systems

Excel

Route planning

GPS for n

avigatio

n

Electro

nically

genera

ted

freig

ht docum

ents

Barcodes

RFI

D-t

ags

Simple order handling

Advanced order handling

Open interface

Web based U

I

Platform

based

systems

Hardw

are-

oriented

Data collection

systems

(prop

rietary)

Com

munication

with vehicles

E-invoice

Web based

bookingRoute

optimisation

Th

e so

cia

l web

Open connectivity

Integrated

prognosis

Data collection

systems (open)

Tolling

systems

Webservices

with traffic data

Dyn

amic

ro

utin

g sy

stem

s

Pe

rform

an

ce

Ba

sed

ac

ce

ss

Pe

rfo

rma

nc

e

Ba

sed

ac

ce

ss

Mas

hups

Mul

tiple

dat

a so

urce

s

Pro

be

dat

a

Individual

routin

g

inform

ation

Platooning

PlatooningExceptions handling

Sm

art g

ood

s

Manual

Computers

Software

Functions

Dis

trib

uted

deci

sion

m

akin

g

Goods as bi-

directio

nal

hyperlink

Paper based

CC-BY Per Olof Arnäs, Chalmers

Goods VehicleSome trends that we are very interested in

Lis

a fo

r I/

O K

eyn

ote

by

Ma

x B

rau

n o

n F

lickr

(C

C-B

Y)

Lo

ca

ls an

d To

urists #1

(GT

WA

#2): L

on

do

n b

y Eric

Fisch

er o

n F

lickr

Ora by cskk on Flickr (CC-BY)

Wearable tech Big data

3D Printing

Lis

a fo

r I/

O K

eyn

ote

by

Ma

x B

rau

n o

n F

lickr

(C

C-B

Y)

Wearable tech

We are becoming cyborgs

Physical interaction with the digital eco system

More than just entertainment

3D Printing

Ora by cskk on Flickr (CC-BY)

Additive manufacturing

Batch of one

FlexibleExpensive

Locals and Tourists #1 (GTWA #2): London by Eric Fischer on Flickr

We produce vast amounts of data


All the time.


So what can we do with all this

data?

Waze is based on the fact that everybody running the app automagically delivers data. No central ”traffic control”!

Crowdsourced

traffic- and map

data

Many-to-many communication

Example of data sharing that works

Free for

consumers

Capacity radar Matchmaking

ETA-projectionsBottle

neck

status

Data layers that could be applied in freight

Opportunities

Digitization Increasing goods volumes

New technology

Political

interest

Quad Aces by fitzsean on Flickr

Northern LEAD Logistics Research Centre

Founded by: Chalmers University of Technology

University of Gothenburg Logistics and Transport Society LTS

Northern LEAD coordinates and supports logistics research at Chalmers and University of Gothenburg in order to increase volume, quality and relevance of the research

What we do

stairs by Denis Jacquerye on Flickr

Tomorrow’s logistics. We are finding the answers.

Around 70 researchersResearch centre for sustainable logistics

solutionsFive core research

groups Organises, facilitates, disseminates highly

relevant logistics researchCollaboration between

Chalmers and University of Gothenburg

Physical Distribution

Production Logistics

Industrial marketing & purchasing

Logistics & Transport

Optimization

Professors 10 Visiting Professors 6 Associate Professors 5 Post docs 6 Faculty 14 PhD students 32 Total 73

Five core research groups

Thought leadership through

high quality research and

innovation

Challenges and trends

Outcomes for policy and business

Volatility and risk

Demographic changes

Complexity and structural flexibility

Resource limitations

Manufacturing and retail revolution

Environmental impact

Focused areas

Urban Transport

Long Distance Transport

Purchasing of transport

Logistics and Production Networks

Information, planning and

control

Measurements and measuring

Service development in

networks

Resource utilisation

Intermodality

Project 1: TRINFO

Project proposal: Smart access/guidance control

Realtime applications

Expanding delivery front

Stand by

shipments

Dynamic

shortcuts

Platoon

parking

Foliated transportation network

Intelligent V2I

communication

Some o

ther

Super Cat by Photo Extremist on Flickr

Data sharing

Not all ideas age with grace

Someone must do the work

Not everyone will want to adopt new things…

…or change habits

Basic data From/To/What/When Owner: the customer

Resource allocation What vehicle?Owner: Traffic controller

Cargo information Loaded amount Owner: Supplier

Proof of Delivery Time/date/signature Owner: Driver

Pricing Owner: Financial dept.

Enough information to create invoice

All of these steps cost money!

From order to invoice

Goal: De-couple the dependecy between administative cost and order volume

Number of orders per year

Total cost for administration of

all orders

An increase in the number of orders lead to increased cost

Handle exceptions – not transactions!


1989:A FULL TIME JOB!

2 hours

4 hours

2 hours


2013: TWO HOURS. MAX.

0 hours

1-2 hours

0 hours


We have no idea.

!

!Per Olof Arnäs

[email protected]

about.me/perolofarnas @Dr_PO

Slides published on slideshare.net/poar

some


Kolla gärna in min crowdsourcade logistikblogg Logistikfokus.se

(Sveriges första och troligtvis enda)

Be sure to check out my crowdsourced logistics blog Logistikfokus.se

(Sweden’s first and probably the only one)

Yes, It’s in Swedish but Google Translate works wonders these days ;-)

Exklusiv förhandsvisning av ny design som kommer inom kort!

Exclusive preview of the new design that will be released shortly!

We are building The Matrix in the transport industry

Business

Transcript of We are building The Matrix in the transport industry